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Every summer, mosquitoes become a nuisance in the lives of many people. Traditional physical or chemical means of mosquito repellent have limited effect and may have health risks. For this reason, this article shares the source code of an intelligent mosquito tracking and repelling system developed by Python, which innovatively combinescomputer visionWith ultrasonic technology, it can realize mosquito automatic identification and interference expulsion. The system uses a camera to capture the trajectory of mosquito activities in the environment in real time, dynamically displays the movement process through a radar-type image interface, and automatically launches a specific frequency ultrasonic interference, thus achieving the effect of mosquito repellent.
The system adopts OpenCV for target detection, PyGame for audio generation, Matplotlib for visualization processing, and the core algorithm is constructed based on NumPy, which has good cross-platform performance and scalability. The detection part completes the background modeling through the MOG2 algorithm and adapts to the light changing environment; accurately distinguishes the mosquito types through the contour and roundness analysis, and combines with the simplified Hungarian algorithm to achieve multi-target tracking. The acoustic module uses 22kHz as the driving frequency, which is sensitive to mosquitoes but difficult to be detected by the human ear, so the repelling effect is ideal.
Suitable for embedded development,image recognitionTeaching, smart home projects or creative research works with clear source code structure for easy learning and expansion.
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