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Traditional intrusion detection systems require manual configuration of zones and detection rules, which is time-consuming and restrictive.
Our approach automates restricted zone designation by integrating real-time object detection with frequency analysis.
Using a spatiotemporal grid structure, the system enhances detection accuracy and adapts dynamically to environmental changes.
Eliminates manual setup, improving user experience and ease of operation.
Enhances efficiency and reliability of CCTV-based intrusion detection, making security monitoring more effective.
With this automated, AI-driven approach, we provide a scalable, adaptable, and high-precision intrusion detection system. Thank you!
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IEEE/ICACT20250047 Slide.11
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