The proposed security camera system must include the following features: System Architecture Camera-Agnostic: The system should be compatible with a wide range of camera brands and models. AI Web Dashboard: A user-friendly web-based interface that leverages AI for intelligent analysis and visualization of camera footage. Proactive Health Monitoring: The system should continuously monitor the health of cameras and other system components, providing alerts for any issues. Cloud + Edge Computing: A hybrid architecture that combines cloud-based storage and processing with edge computing for real-time analysis and reduced latency. Features and Capabilities Weapons Detection (Optional): The system should have the capability to detect weapons, if desired. Real-Time Alerts: The system should provide real-time alerts for unusual behavior, such as loitering, unauthorized access, or suspicious activity. Real-Time Alerts on Suspected License Plates: The system should be able to identify and alert on suspected license plates. Additional Considerations Scalability: The system should be scalable to accommodate future growth and expansion. Integration: The system should be able to integrate with existing security systems and other IT infrastructure. Data Privacy and Security: The system should comply with all relevant data privacy and security regulations. Maintenance and Support: The vendor should provide ongoing maintenance, support, and training.
