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sarangKP / Enhancing-Child-Safety-and-Security-through-Integrated-Technology-for-Urban-Areas

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This project leverages machine learning, computer vision, and embedded systems to improve child safety in urban environments. Using Python, OpenCV, and CNNs, the system integrates real-time video analysis for child detection via CCTV, alerts using Arduino, and data processing on a laptop. The project aims to provide a comprehensive safety solution

opencv tensorflow face-recognition arduino-uno firmata neutral-network
  • Updated Oct 29, 2024
  • C++

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