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SAFR from Real Networks - SFR-SC800
4K (8MP) PoE Dome Camera with Onboard AI Chipset for SAFR
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Product Description
Tired of complex, server-reliant facial recognition systems that drain your resources? The SAFR SCAN SC-800 changes the game.
This cutting-edge camera brings NIST-leading live video facial recognition and video analytics directly to the edge, eliminating the need for expensive, dedicated servers.
Experience the Power of Edge Computing:
The SC-800 isn't just a camera; it's an intelligent security solution. By embedding SAFR directly into the camera, it harnesses the power of onboard compute functionality. This means:
- Server-Free Efficiency: Say goodbye to bulky server hardware. The SC-800's edge processing saves you an average of £500 per camera in on-premises server costs.
- Reduced Network Bandwidth: Process video analytics directly on the camera, minimising the strain on your network.
- Real-Time Intelligence: Gain instant insights with powerful video analytics, enabling rapid response and proactive security measures.
- On-Camera Processing: Perform critical tasks like face registration and recognition directly on the camera, ensuring faster and more efficient operations.
Key Features and Benefits:
- Edge-Based Processing:
- Server Hardware Elimination:
- Reduced Network Bandwidth:
- Real-Time Video Analytics:
- Scalable Solution:
- NIST-Leading Accuracy:
- Lower Total Cost of Ownership (TCO):
The SAFR SCAN SC-800 represents a paradigm shift in video analytics, offering a compelling blend of performance, efficiency, and cost-effectiveness. By bringing intelligence to the edge, it empowers organizations to achieve greater security and operational insights while minimizing infrastructure complexity and costs.
Specification Sheet
- Click to download: safr_scan_camera_SC800-1.pdf
- Professional surveillance Dome Camera
- On-board high-performance facial recognition
- 99.9% face recognition accuracy
- Automated identification of persons of interest
- Authenticates up to 60 individual users per minute
- 50,000 face identity capacity
- Perform key processing taks on-camera
- Reduce network bandwidth and eliminate server hardware demands
- Real-time face recognition and video analytics is now affordable
