ESP32 Cam, Python, OpenCV, & Mediapipe: DIY Security Surveillance Camera using Landmarks
Download Circuit Diagram and Programming:
https://www.electroniclinic.com/python-opencv-esp32-cam-based-diy-security-surveillance-camera/Related videos:
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By using Python, OpenCV, MediaPipe, and an ESP32 Cam module, we are going to create the most advanced DIY Security Camera or Surveillance Camera. This advanced security system eliminates the need for physically installing laser sensors and motion sensors.
So, if anyone crosses this virtual laser, a buzzer connected to an Arduino board will be activated. Currently, I have used just one virtual laser, but you can use multiple virtual lasers if you wish.
You can also place this virtual laser above a wall, so if an intruder comes over the wall, the buzzer will be activated.
Not only that, you can define a specific area, and whenever someone enters or exits that area, the buzzer will be activated. The same concept can be applied to different objects and animals as well.
Its based on pose landmark detection to accurately identify and monitor individuals within a given space. Pose landmark detection involves identifying and tracking distinctive features of a person's body pose, such as the positions of joints and body parts. By using this approach, we can achieve a significantly higher level of accuracy in recognizing and distinguishing individuals, even under challenging conditions such as low light. This not only enhances the effectiveness of security systems but also minimizes false positives and false negatives, reducing unnecessary alarms and improving overall operational efficiency.
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#esp32cam #landmarks #surveillancecamera