People Tracking & Crowd Monitoring

AI & Machine Learning

Project Overview

The client wanted a real-time people tracking system to monitor public areas and enhance security. The goal was to track individuals using unique IDs, detect suspicious activities, and analyze crowd flow with heatmaps and peak-time detection. The system needed to work with CCTV cameras, ensuring efficient public monitoring, helping security teams identify threats, and optimizing crowd management in high-traffic areas.

Our Contribution

🎯 Built an AI-powered tracking system to monitor individuals in public spaces. 🎯 Developed unique ID assignment for each person to track movements over time. 🎯 Implemented suspicious activity detection to flag unusual behavior. 🎯 Created a heatmap system to analyze crowd density and movement patterns.

Our Contribution

🎯 Integrated peak-time analysis to identify high-traffic hours and crowded locations. 🎯 Optimized the system for real-time processing with multi-camera CCTV feeds. 🎯 Designed an intuitive dashboard for security teams to monitor and review data efficiently.

KEY FEATURES

  • Unique ID Based Tracking in Real Time

    Each person is tracked with a unique ID, allowing continuous monitoring across different CCTV zones without losing traceability.

  • Smart Crowd Flow Analysis with Heatmaps

    The system identifies crowd density and movement trends using heatmaps and peak-time detection, helping optimize crowd control and security response.

Tool & Technologies

Customer Feedback

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John Doe

Codetic

Results

The system provided real-time public monitoring, enhanced security, and crowd analysis, making it a valuable tool for law enforcement, city management, and event security. With unique ID tracking, heatmaps, and suspicious activity detection, authorities could improve safety, prevent incidents, and optimize crowd management effectively. The system became a powerful, scalable solution for monitoring public spaces with AI-driven precision.

Deliverables

AI Powered Multi Camera Tracking System

Developed a robust tracking solution that works across multiple CCTV feeds simultaneously, capturing individual movement accurately.

Suspicious Behavior Detection

Integrated AI models that flag unusual or suspicious activity to help prevent incidents before they escalate.

Dynamic Heatmap & Peak Time Reporting

Designed tools to visualize crowd flow, detect bottlenecks, and highlight rush hours in specific areas.

Intuitive Monitoring Dashboard

Delivered a user-friendly interface that enables security teams to monitor live feeds, review alerts, and make informed decisions quickly.

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