In traditional face recognition systems, only pre-registered individuals can be identified. However, in real-world scenarios such as retail stores, office buildings, residential communities, factories, and schools, it is equally important to detect and track unregistered individuals. To address this gap, we are launching an AI edge-based Stranger Recognition and Trajectory Analysis Solution, redefining what’s possible with intelligent surveillance.
Key Features: Identify and track without registration
By integrating pre-adapted AI facial recognition cameras with an AI edge box (AI Box) that has a built-in algorithm, the solution offers the following capabilities:
✅ Stranger identification: Automatically detects and labels new/unregistered faces as “strangers.”
✅ Cross-camera clustering: Repeated appearances of the same stranger are grouped into a single profile with a unique ID.
✅ Multi-camera trajectory tracking: Accurately reconstructs movement paths across multiple cameras and locations.
✅ Returning customer recognition: Useful in retail scenarios for identifying repeat customers and analyzing visit frequency.
✅ Unauthorized person alerting: Triggers alerts when unknown individuals enter restricted zones repeatedly.
Architecture: Efficient, scalable, and cost-effective
AI Camera: Pre-adapted models with built-in face detection and capture capabilities ensure seamless operation and compatibility.
AI Box: Lightweight edge computing device with local face recognition and clustering algorithms. Supports 10 to 100+ video streams depending on the model.
Management Platform: Web-based dashboard for live preview, face logs, trajectory playback, and alert notifications.
This edge-computing-based system minimizes dependency on cloud services or high-performance servers, providing a low-cost yet scalable deployment model for smart security and retail analytics.
Application Scenarios
| Scenario | Value |
|---|---|
| Retail stores | Identify new vs. returning customers, support personalized marketing |
| Office buildings | Monitor unauthorized entries and enhance perimeter security |
| Residential complexes | Detect unknown individuals entering frequently |
| Schools | Monitor non-registered visitors, improve on-campus safety |
Privacy-first: Local processing, no cloud upload
All face recognition and data processing occur locally on the AI Box, ensuring user privacy, data compliance, and full offline capability.
What’s included
✅ Hardware Package: AI Box + pre-adapted AI cameras
✅ Software Platform: Web interface and API available for integration
✅ End-to-end Service: From solution design to deployment and technical support
Contact Us
Stranger recognition is not just security — it’s the foundation for intelligent perception and commercial insight.
- Website: https://www.lenslink.ai
- Email: info@lenslink.ai