Hello,
My projet is to build an autonomous device, based on TI IWR mmwave sensor. It would by a 15 meters range radar, capable of detecting cars and determining if they are stopped or not. I would like it simple to configure and to use.
Here is the use-case :
1. The user choose a number N of different situations (scenes) he wants to recognize. Typically between 2 and 5. This is the only parameter of the device.
2. The user switches the device in "learning mode". In this mode, the device build a classification method using unsupervised learning algorithm (k-means f. example).
3. The device has 5 LEDs to ouput the real-time classification done by the device. The user monitors how the learning process is going on, and check if it fits his needs (if not : change the location of the radar, or change N parameter).
4. When the user considers that the learning process is successful, he switches the device in "clustering mode". The device does not learn anymore. It observes the scene, calculates its category, and lights the appropriate LED.
5. The device counts the number of occurences for each category, during a fixed time lap (5 minutes f. example). It sends the results to another device using I2C, for feeding a database.
My questions are :
- Which mmwave sensor is the most suitable to do this ?
- How to implement this with a standalone sensor, without adding any other chip to run the learning process ?
- Any suggestion or idea to make it ?
Thank you !
Halden
