GurpreetKukkar/Weapon-Detection-using-Artificial-Intelligence
AI-driven weapon detection system for real-time surveillance. Developed on TensorFlow, achieved precision of 0.8524 and 0.7006 at IoU 0.50 and 0.75. Utilizes key frame extraction and SSD-MobileNet, enhancing efficiency. Developed on Windows 10, Python 3.7.3, and TensorFlow 1.14.0. Boosts security with low-cost, automated threat recognition.
This system helps security personnel automatically detect and recognize weapons in live surveillance video feeds. It takes streaming video from security cameras as input and identifies specific weapon types like handguns, shotguns, and knives, outputting labeled images and alerts. Security managers and surveillance operators can use this to enhance monitoring and threat detection.
No commits in the last 6 months.
Use this if you need an automated, real-time solution to identify weapons in surveillance footage to boost security and reduce reliance on manual monitoring.
Not ideal if your primary concern is privacy or if you require an extremely low-resource solution where even minor detection delays are unacceptable.
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Language
Python
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Last pushed
Nov 30, 2023
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