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.
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.