Universal Camera Jammer System

This chapter introduces a universal camera jammer system aimed at protecting privacy and security in the face of pervasive surveillance cameras. The system uses advanced algorithms and machine vision to detect and disrupt camera functionality. It combines hardware like a smart camera-steering system and laser interference to target and overexpose camera sensors, disabling them. The system merges technologies from machine vision, deep learning, and control engineering for quick camera localization and sustained interference. It includes a detailed description of its hardware components, such as the laser, smart camera, PTZ, and wheeled robot. Notable features are the enhanced YOLOv5 model for real-time camera detection and the Deep SORT algorithm for tracking multiple objects. The system assesses the camera's orientation and threat level to inform its interference tactics. It explains the self-feedback laser irradiation method, discussing the laser's impact on CMOS sensors and algorithms for accurate interference. In summary, the camera jammer offers a novel solution for personal privacy protection in surveillance-heavy settings, showcasing the potential of intelligent systems to counteract surveillance tech, balancing public safety with individual privacy.