Real-time weapon identification system in surveillance video
Link to open source: https://drive.google.com/drive/folders/1bUTlxnRzJHS6MhNFaRzRBtmeFsUfcv66?usp=drive_link
Link to Live Project: https://drive.google.com/drive/folders/1bUTlxnRzJHS6MhNFaRzRBtmeFsUfcv66?usp=sharing
For Security Staff
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Provides instant alerts (SMS, dashboard, alarms) when a weapon is detected.
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Reduces human monitoring fatigue by automating surveillance.
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Helps them respond faster and prevent escalation.
🔹 For Organizations (Schools, Offices, Malls, Transport Hubs)
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Cost-effective: works with existing CCTV/IP cameras, no need for an entirely new setup.
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Enhances security reputation of the institution (parents, customers, employees feel safer).
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Cuts manpower costs by reducing reliance on manual surveillance teams.
🔹 For Society
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Creates safer public spaces, reducing risks of violence and crime.
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Acts as a deterrent: the presence of AI-based surveillance discourages weapon-related crimes.
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Improves trust in public safety systems, making communities more secure.
🔹 For Authorities (Police, Government, Law Enforcement)
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Enables transparent, data-driven monitoring with evidence for investigations.
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Supports quicker decision-making during emergencies.
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Scales up to city-wide or national smart surveillance networks for crime prevention.
🔹 For Future Growth
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The AI model continuously learns and improves, adapting to new weapon types.
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Can integrate with smart city infrastructure (IoT, cloud, AI-based surveillance).
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Potential for global adoption in airports, stadiums, and defense applications.
This build was uploaded as a hackathon project