This project is an advanced security solution utilizing AI for real-time theft detection and criminal identification. By integrating facial recognition, a structured database, and an automated notification system, it enables accurate identification of individuals with known criminal records and immediate alerts to law enforcement. Built with Flask, OpenCV, and SQLite, the system is designed to enhance public safety in monitored environments, with future plans for improvements in low-light and mask detection capabilities.
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This project uses AI and facial recognition for real-time criminal identification and instant alerts to law enforcement. Built with Flask, OpenCV, and SQLite, it enhances security in monitored environments, with future plans to address challenges like low-light and mask detection.
himanshukale02/thief-detection-police-alert
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This project uses AI and facial recognition for real-time criminal identification and instant alerts to law enforcement. Built with Flask, OpenCV, and SQLite, it enhances security in monitored environments, with future plans to address challenges like low-light and mask detection.
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