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Transforming Surveillance Systems into Intelligent Safety Monitors
A major industrial and retail group needed to automate safety and occupancy monitoring across hundreds of sites. Traditional manual camera surveillance was time-consuming, inconsistent, and prone to missed incidents — from PPE non-compliance to crowding or unsafe behaviors. iiT designed and deployed an AI-powered CCTV Video Analytics solution that transformed existing camera networks into intelligent, real-time monitoring systems. The platform automatically detects safety violations, counts people, and measures occupancy density — generating instant alerts and actionable insights that help prevent incidents before they happen.
Achieving Intelligent Safety Oversight Without Expanding the Monitoring Team
The iiT CCTV Video Analytics system delivered continuous, automated surveillance across all factory and retail sites — without increasing monitoring staff. By leveraging computer vision, edge computing, and IoT integration, the solution analyzed live video streams in real time to identify unsafe acts, missing protective equipment, and crowd congestion. Instant alerts were sent via dashboards and WhatsApp notifications, enabling supervisors to take immediate corrective actions. This automation reduced manual review efforts, improved compliance, and allowed safety teams to focus on prevention and response rather than constant monitoring.”
Features & Capabilities
The iiT Video Analytics Platform was engineered to provide scalable, reliable, and low-latency monitoring across distributed environments:
Delivering Measurable Business Impact
The deployment achieved measurable improvements in both safety and operational visibility:
âś… 40% increase in overall safety compliance
âś… Instant detection (<2 seconds) of unsafe behaviors
âś… Automated daily analytics on crowd flow and occupancy trends
âś… Significant reduction in manual camera monitoring workload
By converting traditional CCTV infrastructure into an intelligent AI-driven safety network, the organization gained continuous oversight, faster incident response, and improved workplace compliance across all locations.
iiT Delivery Framework
iiT delivered the CCTV Video Analytics solution through a structured, results-oriented framework designed to ensure rapid deployment, scalability, and sustained value across multiple environments.
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Foundation & Integration
The project began by connecting existing CCTV infrastructure with AI inference nodes deployed on Nvidia Jetson Nano devices. Real-time streaming was configured via FastAPI services, with MQTT handling instant alert delivery and PostgreSQL managing event storage. All systems were optimized for low latency and data security to support 24/7 monitoring operations.
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Enhancement & Optimization
Once deployed, iiT continuously refined detection accuracy using custom YOLOv8 models trained on site-specific safety datasets. Performance improvements focused on reducing false positives, enhancing crowd analytics precision, and integrating Grafana and Power BI dashboards for live reporting.
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Expansion & Innovation
Following the initial success, the platform was expanded to multiple facilities and retail locations. Additional features — such as heatmap generation, zone-based alerts, and predictive occupancy analytics — were introduced. IoT alerting through WhatsApp Business API and webhook integrations extended visibility to managers and safety officers in real time.