Integration of LoRaCAM-AI is almost at its final stage with the low power mode validated! Get all the explanations, diagrams, code and software tool to test the LoRaCAM-AI on the GitHub.
Next step is to embed AI processing on the captured image to implement some image recognition tasks. The objective is to have a generic low power camera that can be trained for various applications in agroecology.
In this video, the LED on the XIAO ESP32-S3 Sense will blink as follows: (1) after power up and an image is ready for encoding and transmission, the LED will slowly blink twice; (2) each time a packet has been successfully transmitted the LED will blink once; (3) when all packets have been transmitted, the LED will again slowly blink twice. The power will be managed by an external Arduino Pro Mini which LED will blink as follows: (1) after power on, and after each wake up, the LED will blink 5 times fast; (2) each time that the activity pin from the ESP32 goes below the defined activity threshold, the LED will blink once; (3) when the activity pin has been below the activity threshold for at least 2s, the LED will slowly blink 4 times, indicating that the power to the ESP32 is going to be cut. This is when the Arduino Pro Mini will go in deep sleep for typically 1 hour.