Project Overview
The client wanted a versatile AI system to detect and count people in public spaces while ensuring privacy by blurring faces. The goal was to implement this technology in streets, restaurants, shops, schools, hospitals, police stations, banks, and other high-traffic areas. The system needed to accurately track head counts for crowd analysis while maintaining privacy compliance by automatically blurring faces in real time.
Our Contribution
🎯 Designed the system to be scalable and adaptable for various environments like streets, stores, schools, and hospitals. 🎯 Ensured compatibility with CCTV and live camera feeds for easy deployment. 🎯 Created a privacy-first approach to comply with security and data protection regulations
Our Contribution
🎯 Developed an AI-powered head detection system to count individuals in public spaces. 🎯 Implemented an automated face-blurring feature to ensure privacy protection. 🎯 Optimized the model for real-time processing, making it effective in high-traffic areas
KEY FEATURES
Tool & Technologies
Customer Feedback
John Doe
Codetic
Results
The system accurately tracked and counted people in public spaces while ensuring privacy compliance by blurring faces automatically. It became a highly scalable and adaptable tool for businesses, government agencies, and security teams to monitor crowds, analyze foot traffic, and enhance public safety without compromising personal privacy.
Deliverables
Live Camera & CCTV Integration
Enabled plug-and-play compatibility with existing surveillance systems for quick and scalable deployment.
Optimized Edge Processing
Ensured the system runs smoothly even in high-traffic areas, offering real-time results without heavy computational requirements.
Real Time Face Blurring Engine
Integrated automatic face-blurring to meet data privacy standards while maintaining useful crowd data.
AI Powered Head Detection Module
Built a smart model to detect and count individuals in video streams with high precision and speed.
