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Electronics news

Invasive species eradication using an ESP32-based system and DFRobot HuskyLens AI camera

Invasive species disrupt the natural balance in an ecosystem, causing significant damage to native species and reducing biodiversity.

Invasive species detection automation technology is being used to combat these problems.

A makerspace intern in Belgium used a microcontroller board and a camera to develop a system to detect Asian hornet nests. The Joy-IT NodeMCU-ESP32 microcontroller board Joy-IT and a DFRobot HuskyLens AI camera were used to create the system. The hardware was mounted in a 3D printed enclosure that also included the ability to place an attractant to attract the hornets.

The HuskyLens image sensor was replaced with a 2-megapixel OV2640 sensor to improve focus. The device was trained by recognizing tagged individuals of Asian hornets using a machine learning algorithm.

The NodeMCU-ESP32 breadboard is used to transfer data to a computer with a web server and database via Wi-Fi. The web server allows the system to be remotely controlled and collect data on Asian hornets. This method can be used for other purposes.