Overview
Large cities urgently need to upgrade their public security systems. Traditional face recognition fails in crowded areas, at night, and when faces are partially obscured, creating an urgent need for a reliable, round-the-clock supplementary recognition technology.
• Client: Local security department
• Location: A major Chinese city
• Project Duration: Deployment completed in 20 days
The Challenge
- With over 20,000 surveillance feeds currently in use, recognition accuracy remains low in high-traffic areas
- The average response time to security incidents is 20 minutes, and frequent false alarms are placing an increased burden on frontline security personnel
Our Solution
- Deploy gait recognition at over 5,000 key locations across the city. Leveraging real-time AI-powered gait analysis, we address recognition shortcomings and improve accuracy in complex environments
- Enable intelligent, automated alerts and cross-camera person tracking
Key Capabilities
5,000+ Recognition Nodes
Covering transportation hubs, commercial districts, and public areas to complete a comprehensive security deployment.
Real-Time Processing
Minute-level analysis and retrieval capabilities, enabling rapid identification and alerts.
Long-Range Detection
Effective recognition up to 50 meters, with detection range superior to traditional facial recognition.
Cross-Camera Tracking
Maintain continuous identification of individuals through cross-camera tracking based on gait characteristics.
Multi-Modal Fusion
Integrate with existing systems such as face recognition and body structure data to achieve multi-dimensional composite identity verification.
Customer Testimonial
The gait recognition system has been showcased at the 2024 and 2025 World Artificial Intelligence Conferences, the 2025 China International Import Expo, and the World Federation of Engineering Organizations. By leveraging big data to establish a four-tier security perimeter, it enables the search and comparison of key individuals, intelligent deployment of security measures, and risk alerts, having successfully issued over 100 alerts to date.
Interested in a Similar Deployment?
Contact our team to discuss how we can tailor a gait recognition solution for your specific requirements.
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