This case study showcases an advanced AI-powered surveillance solution designed to enhance workplace security, visitor management, and employee productivity monitoring through real-time video analytics. The system uses Facial Recognition, Activity Detection, Zone-Based Monitoring, and Movement Tracking to intelligently monitor live camera feeds and generate actionable insights. It helps organizations identify authorized and unauthorized individuals, track employee movement, monitor suspicious activities, and maintain detailed event logs with real-time alerts.
The platform also includes features such as visitor registration, face history tracking, mobile usage detection, and productivity analytics, making it suitable for offices, manufacturing units, retail environments, and law enforcement applications. By transforming traditional CCTV systems into intelligent surveillance platforms, the solution improves operational transparency, security management, and workforce efficiency through AI and Computer Vision technologies.
AI-powered Food Detection & Sales Deflection Analytics
This case study highlights an AI-powered Smart Cafeteria Intelligence System designed to reduce revenue leakage and improve operational transparency in food service environments. Using Computer Vision and real-time video analytics, the system automatically detects food items from live CCTV feeds and compares them with POS billing records to identify unbilled items, billing mismatches, and suspicious transactions in real time.
The platform includes features such as Real-Time Food Detection, POS Verification, Smart Alert Generation, Throughput Monitoring, and Automated Audit Logging. By transforming traditional cafeteria monitoring into an intelligent automated process, the solution helps organizations improve billing accuracy, enhance operational efficiency, strengthen revenue protection, and streamline cafeteria management through AI-powered insights and analytics.
This case study showcases an AI-powered Automatic Number Plate Recognition (ANPR) solution designed to automate vehicle monitoring, access control, parking management, and traffic analytics through real-time video intelligence. Using Computer Vision, OCR technology, and AI-driven video analytics, the system automatically detects vehicles, extracts license plate numbers from live CCTV feeds, and generates real-time alerts for authorized, unauthorized, or suspicious vehicles.
The platform includes features such as real-time vehicle tracking, automated entry-exit logging, blacklist detection, parking analytics, traffic monitoring, and centralized operational dashboards. By transforming traditional surveillance infrastructure into an intelligent vehicle monitoring system, the solution helps organizations improve security, optimize traffic flow, automate parking operations, and enhance operational efficiency through AI-powered automation and analytics.