DIY Weather Station With ESP32

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Published Sep 27th, 2022

Introduction: DIY Weather Station With ESP32

About: DIY electronics, Arduino and ESP32 projects, home automation and much more! You can find me on YouTube (Giovanni Aggiustatutto) and on Instagram (@giovanniaggiustatutto).

Hello! Today we are going to look at this smart weather station I built. The weather station I built measures temperature, humidity, air pressure, wind speed and direction, and the amount of rain that falls. All the data is collected by an ESP32, which is a kind of Arduino, and via wifi it is sent to the mobile app. On the app, or on the web page, we can see real-time data from the weather station and graphs, for example of the temperature, with minimum and maximum of every day, and the pressure graph, which we can use to make a rough weather forecast. If this sounds difficult, don't worry, in this guide you can find all the informations.


To see more details about the construction, watch the  video on YouTube  (it is in  Italian  but it has  English subtitles ).

Supplies

To build the weahter station, we will need:

  • ESP32 board with external wifi antenna
  • micro usb cable
  • plastic box for the electronics
  • DHT22 temperature and humidity sensor
  • BMP180 pressure sensor
  • various wires and cables
  • 3D printer white filament
  • 5v to 3,3v level shifters
  • 6 Hall effect sensors
  • perfboard
  • M4 and M5 threaded rods
  • M4 and M5 bolts and nuts

and a lot of other things i forgot to add to the list!

Tools:

  • 3D printer
  • soldering iron
  • drill
  • hot glue
  • computer

Also, to connect the project to the app you need to have Home Assistant running on a raspberry pi or on a computer. If you don't have Home Assistant you can connect the weather station to Blynk , but you need to write the code for it. If you write the code for Blynk, if you like you can share it so others can use it.

Step 1: Temperature Sensor

To measure temperature and humidity I will use the DHT22 sensor. I soldered the sensor onto a perfboard, with a connector and a pull-up resistor between 3,3v and the signal pin. I put the sensor inside a Stevenson screen. The Stevenson screen protects the sensor from direct sun and rain, while allowing air to pass through. By avoiding the sun to heat the sensor, it allows to get more accurate temperature readings. To build it, I 3D printed all the parts, and attached them togheter with two threaded rods. I glued the perfboard with the sensor inside the Stevenson screen, and underneath I put the bracket that will hold the sensor up. 

Down here you can find all the 3d printable files for the Stevenson screen.

Stevenson Screen 3

Step 2: Wind Vane

Wind Vane
3 More Images

Then we have the wind vane, which detects which direction the wind is coming from. Also for this one I had to make some parts with the 3D printer. The wind vane has this arrow-shaped piece at the back and the tip at the front, with a bolt inside as a weight to balance it. The flag can rotate freely with a ball bearing that I put in the base. To detect the 4 cardinal points from which the wind comes (north, east, south, west) I will use 4 hall effect sensors, which are magnetic sensors that are activated when a magnet approaches.

My idea is to put the hall sensors like shown in the second photo, with the magnet spinning and activating the sensor of the cardinal point towards which the flag is turned. For intermediate points, e.g. north-east, the two corresponding sensors (north and east) will be activated. I have placed the magnetic sensors here on the base of the wind vane, raised of about 1 cm to keep them away from the metal bolts which can attract the magnet. On the upper part, that is free to rotate, I glued the magnet. This piece also has the function of protecting the sensors from the rain. I inserted the actual wind vane onto the threaded rod, and secured it with a self-locking nut. The hall sensors each have 3 wires, which go to their original board with the little LED, which is useful to see if the sensors work correctly. I soldered the four boards onto a perfboard. From there I used an old network cable to bring gnd and 5v to the sensors and the four signal pins to the main board, which we will see later. I put the four sensor's boards in this 3d printed box, with a piece of acrylic on top.

Down here you can find all the 3d printable files.

Wind vane

Step 3: Anemometro

Now comes the anemometer. I already talked about this in a video last year, which you can find here . I also made the anemometer with the 3D printer, and below you can find the STL files. The anemometer is composed of the base and the rotating part. For the rotating part, the cups and the center piece are printed separately and assembled with 3 screws. Inside the anemometer there is a magnetic hall sensor on the base and a magnet on the rotating part. The sensor sends out an impulse at each revolution. From the revolutions per minute we can calculate the wind speed, but at the moment I don't know what number I have to multiply the revolutions per minute by to get km/h. If someone knows how to calculate it, please write those calculations in the comments below. By what I found online, a rough (an probably wrong) estimation is to multiply the rpm by 0,18.

Anemometer

Step 4: Rain Gauge

Lastly, there is the rain gauge. I showed this in a previous Instructable , so you can find all the details there, including the 3D printable files. However, this also uses a magnetic sensor, and each change of state of the sensor means that a certain amount of water has passed through. The rain is measured in mm of height.

Step 5: Aluminium Frame

Aluminium Frame
2 More Images

To make it easier to mount the weather station in it's final collocation, I will put the various sensors on a single structure. To make it, I used a rectangular aluminium profile. In the centre I fixed the rain gauge, and on the two sides I put the anemometer and the wind vane. To hold everything up I cut two more pieces of aluminium profile. On one side of them I made this nice big hole, which allows me to fix them without having the bolt sticking out underneath. After bolting everything togheter, this is the result. This step is optional, because if you want you can mount the single sensors on a structure you already have, for example the side of a roof.

Step 6: Electronics and Pressure Sensor

But now we have all the electronics, which will be in this junction box. To make the connections easier, I bought this board that carries the ESP32 pins on terminals. I don't know why, but my ESP32 doesn't fit on this board. So I had to make adapters with a perfboard to move the pins. I screwed the ESP32 in the box, and on the underside I put the antenna for the WiFi connection.

I almost forgot about the atmospheric pressure sensor, which is the BMP180. I put it here in the box, and to let the air pass through I made this grid on the underside. This sensor communicates via i2c, so it needs two wires to connect to the ESP32, other than 3,3v and GND.

Now we have all the other sensors coming in here with their wires. The temperature sensor has only one signal wire, and it connects directly to an ESP32's pin. The problem are the hall sensors of the anemometer, rain gauge and wind vane, which operate at 5v, while the ESP32 operates at 3.3v. So to convert the signal from 5v to 3.3v I will use some level converters, like these. To make everything neater, I soldered them onto perfboards. To make the connections between the boards and the ESP32 I used JST connectors, which are more solid than classic jumpers. Finally, I joined together the wires for gnd, 5v and 3.3v, and tidied up the wires with cable ties.

Above you can find the schematics for all the electrical connections for the sensors.

Step 7: Home Assistant

The weather station will be connected to Home Assistant, which is a kind of local server for controlling the various home automation devices we have in our home. Home Assistant can be run on a Raspberry Pi or on a computer on a Virtual Machine, like I do. To connect the weather station to Home Assistant I will use ESPhome, which allows you to connect the ESP32 to Home Assistant. After setting everything up, I can see the weather station data in real time, either from the web page or the app. In addition, the data is recorded, and I can also see graphs of the long-term trend. 

Step by step:

  • Install Home Assistant on a Raspberry or on a computer with a Virtual Machine, if you haven't already done it (there are many tutorials online for the different systems)
  • From the official add-on store, install ESPhome
  • Add a new device in ESPhome and select ESP32
  • In the space for the ESPhome code, paste the following code after the one provided by ESPhome, and insert wifi ssid and password where needed
i2c:
  sda: 21
  scl: 22
  scan: true
  id: bus_a


sensor:
  - platform: dht
    pin: 4
    temperature:
      name: "Temperatura esterna"
    humidity:
      name: "Umidità esterna"
    update_interval: 10s
    
    
  - platform: pulse_counter
    pin: 23
    count_mode:
      rising_edge: INCREMENT
      falling_edge: INCREMENT
    unit_of_measurement: 'mm'
    name: 'Pioggia istantanea'
    filters:
      - multiply: 0.173


    total:
      unit_of_measurement: 'mm'
      name: 'Pioggia'
      accuracy_decimals: 3
      filters:
        - multiply: 0.173
    update_interval: 5s  
    
    
  - platform: bmp085
    temperature:
      name: "Temperatura centralina"
    pressure:
      name: "Pressione esterna"
    update_interval: 10s 
    
    
  - platform: pulse_counter
    pin: 19
    unit_of_measurement: 'Km/h'
    name: 'Velocità del vento'
    filters:
      - multiply: 0.18
    update_interval: 5s   
      
      
  - platform: uptime
    name: Uptime   

binary_sensor:
  - platform: gpio
    pin: 33
    name: "Vento direzione NORD"
    
  - platform: gpio
    pin: 25
    name: "Vento direzione OVEST"
    
  - platform: gpio
    pin: 26
    name: "Vento direzione SUD"
    
  - platform: gpio
    pin: 27
    name: "Vento direzione EST"



  • Click install and on plug into computer , and connect the ESP32 to the computer with the micro usb cable
  • Follow the instructions on screen to install the code on the ESP32

Step 8: Wind Vane Configuration

The wind vane gives the states of the four sensors separately as binary sensors (on or off). To convert these four values to a more esay to read format (e.g. north or south-west ) we have to create a custom sensor in Home Assistant. There is some code but it is very esay.

  • To create the custom sensor, we have to edit the configuration.yaml fiel
  • For that we need to have the file editor plugin installed or something equivalent
  • Paste the following code under sensor:
sensor:
- platform: template
  sensors:
    direzione_vento:
      friendly_name: Wind direction
      value_template: >-
        {% if states('binary_sensor.vento_direzione_ovest') == 'off' and states('binary_sensor.vento_direzione_nord') == 'off' %}
        NORTH-WEST
        {% elif states('binary_sensor.vento_direzione_est') == 'off' and states('binary_sensor.vento_direzione_nord') == 'off' %}
        NORTH-EAST
        {% elif states('binary_sensor.vento_direzione_ovest') == 'off' and states('binary_sensor.vento_direzione_sud') == 'off' %}
        SOUTH-WEST
        {% elif states('binary_sensor.vento_direzione_est') == 'off' and states('binary_sensor.vento_direzione_sud') == 'off' %}
        SOUTH-EAST
        {% elif states('binary_sensor.vento_direzione_nord') == 'off' %}
        NORTH
        {% elif states('binary_sensor.vento_direzione_est') == 'off' %}
        EAST
        {% elif states('binary_sensor.vento_direzione_sud') == 'off' %}
        SOUTH
        {% elif states('binary_sensor.vento_direzione_ovest') == 'off' %}
        WEST
        {% endif %}

  • Then, check the configuration and if it's valid reboot Home Assistant.

Step 9: Rain Gauge Configuration

The rain gauge sends via ESPhome the total of rain, which increases at every step. If the ESP32 is rebooted, this value goes to zero. So, to have a value that can only increase and that reset when a certain amount of time has passed, we can use a utility meter , which is provided by Home Assistant. With that we can show in the dashboard the total rain, the rain of that day and so on.

  • Go to devices and then helpers
  • Create a new hepler and select utility meter
  • Select the rain gauge entity and insert the name of the conuter
  • Select every how much time reset the counter (e.g. 24h or 1 month)

Create other counters for every time interval you want to show the amount of rain for.

Step 10: Dashboard

Once the weather station is finally online, we can create the custom dashboard to show the sensors readings and graphs. For graphs I suggest to use the mini graph card integration, which can be installed via the Home Assistant Community Store. At the top you can find a screenshot of my dashboard, if you want to get ideas for your dashboard. Below i uploaded the code file of my dashboard, if you want to edit it via the text editor.

To record the data you can configure a database in Home Assistant (recorder integration). I haven't posted details on how to configure it because I'm still learing a lot about Home Assistant and I haven't finished configuring it.

To see the data from your smartphone you can download the Home Assistant app. To connect from outside the local network I'm using the Nabu Casa Cloud, which is the simplest solution but it's not free. There are other solutions but they are not totally safe.

Step 11: Done!

This project is done, and I hope you found it interesting. Of course, you can also build some of the sensors and not all of them. If you have any questions, write them here in the comments. If you want to see more details, please check the video that you can find at the top or  here . It is in Italian, but don't worry, it has also english subtitles. Thanks a lot for reading my guide, bye!

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43 Comments

0
Kedryn73

20 days ago

Really nice, but the DHT22 will last 1-3 months (at least, the humidity part) here where do i live (2km from the sea), then it will go to 100% humidity forever.

I still have to find a temp/hum sensor strong enough to survive outside my house (rarely below 0, max 40, but a lot of humidity and saltiness)

0
farticus

Reply 13 days ago

Set up a pair of stainless steel plates as an air gap capacitor then incormorate it into a very sensitive circuit, perhaps an oscillator, then track the frequency shifts. Do this while you have a working DHT22 in place then change your code to use the DIY sensor once you have enough data to calibrate it. You may also need to compensate with data from a thermistor. The idea being to use some of the principles in the small packages but on a macro scale so as to resist degradation due to the marine environment.
0
TimTheWelshman

Reply 19 days ago

Try the BME280. I have been running sensors with this for years. I do live in AZ, but monsoon season really hits us with a lot of humidity. It will measure temp, pressure, humidity and even give you dew point. You can find them in various quantities on Amazon.
0
Kedryn73

Reply 18 days ago

Already tried. It lasted for an entire season, then died in autumn. 100% hum.
The problem is not the high humidity, but the salt.
0
TimTheWelshman

Reply 15 days ago

Hmm, with that level of exposure, you may want to look at different containment/exposure options. Perhaps dig into what the marine/boating/shipping industry uses to protect their sensors. And perhaps, you may need to get a marine grade sensor. Probably cost a lot more but should last longer. Just remember, in harsh climates everything takes a beating and sometimes, replacement is the only option. Also, if you shield your sensor too much, you will have to take into account how long it will take the sensor will measure the change. I haven't tried this yet... but I was thinking about spray coating my electronics with a light coat of polyurethane. During high moisture/humidity, I noticed exposed copper traces began to oxidize. Of course, you would have to mask some of the sensor elements. Just my $.02...
0
LI-Sundance

7 days ago

1. Find drag coefficients of cups ( https://en.wikipedia.org/wiki/Drag_coefficient). In case of half-sphere bowls: cd1=1.42 and cd2 = 0.38
2. Calculate kd=sqrt(cd1/cd2)=1.9331
3. Calculate K = (kd+1)/(kd-1)= 3.1434
4. Measure "r" rotational radius of cup-center, express in meter
5. Measure "f" rotations per seconds
6. Calculate "V" wind speed (in m/s) as V=K * 2π * f * r = 19.75 * f * r
or in km/h: V = 71.1 * f * r
0
badtime7

10 days ago on Introduction

Yes, agreed. This is a simple build. There will be a series of blog posts showing how to code for the ESP32, write backend, and Telegram bot in Rust and create a simple dashboard.
Adding a lot of sensors to the build would make things a lot more complicated and kind of go against the main goal, which is to provide an introductory material covering the whole stack from hardware to software.
0
milutzu

Reply 16 days ago

ASA is UV resistant and has the same durability with temperature as ABS. PETG should also be UV resistant (with a bit lower glass transition temperature) unless it's a very bad mix of monomers. PLA is the worst, with low glass transition temperature it cannot be trusted for structural parts even if it's protected by an anti-UV layer. I live in Romania, which has higher UV exposure than Germany but lower than Italy and my ASA and PETG printed parts 4 years ago and used outside are still intact. ASA has another advantage when printing parts exposed to elements, it can be smoothed in acetone lowering the risk of layer delamination in freezing water.
0
UmbertoG

16 days ago

Salve :-)
Bellissimo lavoro davvero.
Unico appunto è perché tu non abbia usato un BME280 al posto dell'accoppiata BMP180-DHT22. Avresti avuto tutto su bus I2C a vantaggio della semplicità di costruzione e di scrittura del software.
Comunque, ottimo lavoro e cieli sereni.
0
WynneD

16 days ago

Just wondering if a wet sensor could be added, this detects spots of rain.
I have seen this done with two carbon conductive rods side by side with a small gap between them for the water to short the rods together. The one I have seen the two rods was potted in compound in a plastic tube (pipe), then the tube was sanded down half way (diameter) of the tube exposing the tops of the carbon rods now sanded flat imbedded in the compound. Again as you can guess when a drop of water shorted the carbon this would indicate the possibility of rain starting.
0
MaxM84

Question 18 days ago

Bellissimo progetto era da mesi che ne cercavo uno di questo genere autocostruito :D w l'italia... ti volevo chiedere se secondo te è possibile usare la stampante 3d a resina per i pezzi da stampare. Grazie
0
donfrench

Tip 19 days ago

This looks very impressive. But did you realize that it is possible to measure wind speed and direction with no moving parts? It involves sending ultrasonic pulses in two orthogonal directions and measuring the frequency of the pulses received at sensors. It is based on the fact that the frequency of a pulse sent through the air is affected proportionally by the wind speed. Besides the simplicity of the design, no moving parts means very high accuracy and consistency, not to mention no breakage due to wear. Maybe an idea for version 2?
0
Giovanni Aggiustatutto

Answer 18 days ago

I don't sell the kit, it will be too much work and this project is still a work in progress. You can find complete weather stations online, but they cost more.
0
Bakyt-BekM

20 days ago

Hello Giovanni! Congratulations! Great project you've made! As far as the anemometer's RPM vs. wind speed is concerned, I would sugest you the followings: Find another accurate "cup type" (i.e. similar design, I mean omni directional) anemometer that gives your wind speed in m/s or km/h or miles/h. Find nice open place where the wind flows more or less in one direction (I mean steady), mount both anemometers (yours and that reference one) at the same level and make a table for yourself. In one column you write the wind speed from accurate anemometer, and in the next colulmn you write what RPM shows your anemometer. Then you can make a chart wind speed vs. RPM. Look at the chart; if it can be approximated by a straight line. If so, you have a liner relationship and using the basic math you can come up with the function of wind speed vs. RPM. If your chart cannot be approximated by the straight line, you can make a table of RPM vs. wind speed, and in the programming, you may use lookup table method with interpolation. Just make sure, your code can extrapolate too. Now, for sanity check for extreme wind speeds, you can use the method proposed by others (using car/vehicle) and check how your table/chart/function correlates with vehicle speed and your anemometer reading. The things you need to consider while you're using "car/vehicle" method is that apart from head wind created by your vehichle there could also be side (natural) wind that changes the wind speed experienced by your anemometer. Good luck!
0
Giovanni Aggiustatutto

Reply 18 days ago

Thanks for the idea. I also tought to use another accurate anemometer, but I don't know anyone that owns one, and if I had to buy it, I would have bought only the accurate anemometer and connected it to the weather station. If I ever know someone who can lend me an anemometer, I will try it.
1
GGinNJ

Tip 20 days ago

I made a stevenson sheild by getting dollar store bowls (3 to a pak - 6 of them) - long machine screws with nuts (wing or regular nut) and a length of vinyl tubing or beads which will be used to set the gaps between the bowls. make (3) holes in each bowl near the edges in triangular pattern. put screws from top of bowl slip a spacer on (tubing or bead), then next bowl and next until done, then secure with wing nuts. Also you will need to "cut" out the bottom of the three inside bowls (this is where you will install the DHT sensor. About $15US - also use the white bowls for most accurate readings.
1
AntalV

20 days ago

All size just axemple!

1. Measure the distance from cup
center to the center of the shaft.
It is about 16 cm.
2. Count the number of rotations in
one minute as the anemometer
spins. Use a stopwatch to time
the interval and count the number
of times the contrast cup passes.
3. When a cup makes one full revolution,
it covers a distance equal
to the perimeter of a circle of
radius 8 cm. It covers a distance
equal to 2πr, which would mean:
2 x 3.1416 x 8 cm, or 50.3 cm.
• Your anemometer cup therefore
moves through 50.3 cm each time
it revolves.
4. Calculate the speed of your
anemometer. Example: you
counted 60 revolutions in one
minute. Your anemometer speed
would be 60 RPM (revolutions
per minute). It means a linear
distance of 60 x 50.3 cm covered
per minute.
5. Convert this into km/hr using the
following calculation:
60 x 50.3cm x 60min x 1 km
1 min 1 hr 100000cm
= 60 x 0.003 km/hr
= 1.8 km/hr
• If you had counted 30 revolutions
per minute instead of 60, your
anemometer speed would have
been 30 x 0.003 km/hr; or if the
number of revolutions were 15,
the anemometer speed would be
15 x 0.003 km/hr. You can use a
“shortcut” method in calculating
the anemometer speed. Multiply
the rpm by 0.03 to obtain your
anemometer speed in km/hr.
5. Once you know your anemometer
speed, you can figure out
the wind velocity that moved it.
• Remembering that the anemometer
moves only 1/6 as fast as
the wind, multiply your speed by
6 to get wind speed:
(6 x 1.8) or 10.8 km/hr
• For anemometer speed of 60
rpm, wind velocity is 10.8 km/hr.
1
Gilles BILLARD

20 days ago

Hi,
all calculation for anemometer speed are true BUT a coeff is missing.
The only good method is expériement to find k and true air speed:
Test your disposal in a constant speed running car; (no wind as much as possible this day)
Check the car speed VS your anemometer indication and calculate the proper correction K (or curve, in case of non linearity)
Put the coef in your computations.... et voila.
For information, another way is possible: Mesure the dynamique pressure of the wind and the statique pressure of the ambient and .... compute.
0
wannabemadsci

Reply 20 days ago

I agree. The best way is to determine the anemometer performance is by experimental testing. Direct conversion of anemometer rpm (cup distance traveled) to wind speed does not take into account the fact that the cups do not turn as fast as the wind is blowing, there is loss, also mechanical loss. I like the car driving on a no-wind day, with an assistant to note the number of pulses at any given car km/hr.

Wonderful instructable. I have always wanted to make a weather station and this may give me the inspiration! Thanks for sharing!
0
pdubinsky

20 days ago

To find mph, you take the diameter in feet of the anemometer cups or, said differently, the circle that the anemometer cups fit into, and multiply by 3,1416 (pi) to get the circumference. Now, divide the circumference by the number of pulses per rotation and then multiple that by the number of rotations per minute to get the feet the cups have traveled in 1 minute. Multiply by 60 to get feet per hour and divide by 5280 feet per mile to get mile per hour. Divide miles per hour by 0,624 or multiply by 1,6026 to get km/h. Of course, all of this can be done in metric to get km/h directly.
0
GGinNJ

Reply 20 days ago

you can also "calibrate" it by putting out the car window and drive 10mph, 20mph, 30mph steady to see how close you are. I'm told this isn't the most accurate method, but it should be pretty close (maybe within a mile or two/hour)? By Calibrating it you will compensate for the slight amount of drag/resistance the cups give in order to spin.
0
Andy Beck

20 days ago

Nice project, especially like the integration with Home Assistant. Reminds me of the 1-wire weather station kit that Dallas Semiconductor used to sell years ago. As I recall, you calibrated the anemometer by holding it out the window of a moving car and recording the rotations at a fixed speed (maybe sevreral).
0
Giovanni Aggiustatutto

Reply 20 days ago

Thanks! I read about that dallas weather station, and it was a great idea. It combined the data for all the sensor in only two wires without complex microcontrollers. For the anemometer calibration a lot of people are suggesting me to use that method, I will try.
______
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We use Dynatrace to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Dynatrace Privacy Policy
Khoros
We use Khoros to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Khoros Privacy Policy
Launch Darkly
We use Launch Darkly to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Launch Darkly Privacy Policy
New Relic
We use New Relic to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. New Relic Privacy Policy
Salesforce Live Agent
We use Salesforce Live Agent to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Salesforce Live Agent Privacy Policy
Wistia
We use Wistia to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Wistia Privacy Policy
Tealium
We use Tealium to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Tealium Privacy Policy
Upsellit
We use Upsellit to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Upsellit Privacy Policy
CJ Affiliates
We use CJ Affiliates to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. CJ Affiliates Privacy Policy
Commission Factory
We use Commission Factory to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Commission Factory Privacy Policy
Google Analytics (Strictly Necessary)
We use Google Analytics (Strictly Necessary) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Strictly Necessary) Privacy Policy
Typepad Stats
We use Typepad Stats to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. Typepad Stats Privacy Policy
Geo Targetly
We use Geo Targetly to direct website visitors to the most appropriate web page and/or serve tailored content based on their location. Geo Targetly uses the IP address of a website visitor to determine the approximate location of the visitor’s device. This helps ensure that the visitor views content in their (most likely) local language. Geo Targetly Privacy Policy
SpeedCurve
We use SpeedCurve to monitor and measure the performance of your website experience by measuring web page load times as well as the responsiveness of subsequent elements such as images, scripts, and text. SpeedCurve Privacy Policy
Qualified
Qualified is the Autodesk Live Chat agent platform. This platform provides services to allow our customers to communicate in real-time with Autodesk support. We may collect unique ID for specific browser sessions during a chat. Qualified Privacy Policy

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Improve your experience – allows us to show you what is relevant to you

Google Optimize
We use Google Optimize to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Google Optimize Privacy Policy
ClickTale
We use ClickTale to better understand where you may encounter difficulties with our sites. We use session recording to help us see how you interact with our sites, including any elements on our pages. Your Personally Identifiable Information is masked and is not collected. ClickTale Privacy Policy
OneSignal
We use OneSignal to deploy digital advertising on sites supported by OneSignal. Ads are based on both OneSignal data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that OneSignal has collected from you. We use the data that we provide to OneSignal to better customize your digital advertising experience and present you with more relevant ads. OneSignal Privacy Policy
Optimizely
We use Optimizely to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Optimizely Privacy Policy
Amplitude
We use Amplitude to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Amplitude Privacy Policy
Snowplow
We use Snowplow to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Snowplow Privacy Policy
UserVoice
We use UserVoice to collect data about your behaviour on our sites. This may include pages you’ve visited. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our platform to provide the most relevant content. This allows us to enhance your overall user experience. UserVoice Privacy Policy
Clearbit
Clearbit allows real-time data enrichment to provide a personalized and relevant experience to our customers. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. Clearbit Privacy Policy
YouTube
YouTube is a video sharing platform which allows users to view and share embedded videos on our websites. YouTube provides viewership metrics on video performance. YouTube Privacy Policy

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Customize your advertising – permits us to offer targeted advertising to you

Adobe Analytics
We use Adobe Analytics to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, and your Autodesk ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Adobe Analytics Privacy Policy
Google Analytics (Web Analytics)
We use Google Analytics (Web Analytics) to collect data about your behavior on our sites. This may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. We use this data to measure our site performance and evaluate the ease of your online experience, so we can enhance our features. We also use advanced analytics methods to optimize your experience with email, customer support, and sales. Google Analytics (Web Analytics) Privacy Policy
AdWords
We use AdWords to deploy digital advertising on sites supported by AdWords. Ads are based on both AdWords data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AdWords has collected from you. We use the data that we provide to AdWords to better customize your digital advertising experience and present you with more relevant ads. AdWords Privacy Policy
Marketo
We use Marketo to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. We may combine this data with data collected from other sources to offer you improved sales or customer service experiences, as well as more relevant content based on advanced analytics processing. Marketo Privacy Policy
Doubleclick
We use Doubleclick to deploy digital advertising on sites supported by Doubleclick. Ads are based on both Doubleclick data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Doubleclick has collected from you. We use the data that we provide to Doubleclick to better customize your digital advertising experience and present you with more relevant ads. Doubleclick Privacy Policy
HubSpot
We use HubSpot to send you more timely and relevant email content. To do this, we collect data about your online behavior and your interaction with the emails we send. Data collected may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, email open rates, links clicked, and others. HubSpot Privacy Policy
Twitter
We use Twitter to deploy digital advertising on sites supported by Twitter. Ads are based on both Twitter data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Twitter has collected from you. We use the data that we provide to Twitter to better customize your digital advertising experience and present you with more relevant ads. Twitter Privacy Policy
Facebook
We use Facebook to deploy digital advertising on sites supported by Facebook. Ads are based on both Facebook data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Facebook has collected from you. We use the data that we provide to Facebook to better customize your digital advertising experience and present you with more relevant ads. Facebook Privacy Policy
LinkedIn
We use LinkedIn to deploy digital advertising on sites supported by LinkedIn. Ads are based on both LinkedIn data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that LinkedIn has collected from you. We use the data that we provide to LinkedIn to better customize your digital advertising experience and present you with more relevant ads. LinkedIn Privacy Policy
Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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