Small Retailer
64-Channel Processing
Reuse Existing CCTV
Full Store Visibility
Real-Time Analytics
Rapid Deployment
Low Cost Scaling
High-Density Retail Intelligence Engine
Centroid-64 is a high-capacity AI processing unit designed for large-format retail environments. Each unit processes up to 64 live camera streams, enabling full-store analytics using existing CCTV infrastructure with minimal hardware and rapid deployment.
64-Channel Processing
Process up to 64 IP camera streams simultaneously within a single AI box, delivering real-time analytics at scale. Designed for high-density environments, it eliminates the need for distributed processing, reducing system complexity while maintaining consistent performance across large multi-zone store deployments.
Reuse Existing Cameras
Integrate directly with existing IP cameras, converting video streams into structured analytics without replacing hardware. This approach preserves prior infrastructure investment, avoids store disruption, and enables rapid adoption of AI-driven insights without additional sensors or major system redesign.
Full Store Visibility
Unlock end-to-end visibility across the entire store using multi-camera analytics. Track customer movement, zone engagement, dwell behaviour, and queue performance across departments, enabling a unified view of in-store activity to support operational decisions and optimise store layout effectiveness.
Rapid Deployment at Scale
Deploy AI analytics across hundreds of cameras using modular Centroid units. Scale linearly by adding devices without reconfiguring infrastructure, allowing fast rollouts across multiple sites while maintaining consistent performance, simplified management, and minimal integration overhead.
From Cameras to Intelligence
Full Store Intelligence at Scale
Department Stores
Understand customer movement across floors, optimise department performance, and reduce checkout congestion using full-store analytics from existing CCTV infrastructure.
Department Stores · United Kingdom
20,000 - 60,000 m2
Large-Format Stores
Measure zone engagement, optimise product placement, and improve queue performance across wide retail spaces using real-time analytics from existing camera systems.
Hardware Stores · Europe
8,000 - 20,000 m2
Shopping Malls
Analyse footfall distribution, tenant zone performance, and visitor flow across large malls using scalable analytics powered by existing multi-camera infrastructure.
Shopping Malls · Asia Pacific
50,000 - 200,000 m2
Specifications
|
Device Dimension (mm) |
419 mm x 320 mm x 68 mm |
|
Weight |
5.4kg |
|
Casing |
Metal Casing |
|
No. of AI Channels |
64 |
|
Camera Compatibility |
IP Cameras only |
|
Video Input |
RTSP / ONVIF |
|
Output |
Analytics data |
|
Input Power |
AC 110-230V, 50~60Hz |
|
Power Consumption |
70W ~ 100W |
|
Memory |
24/7 continuous |
|
Operation |
Up to 16GB 128-bit LPDDR4X |
|
Privacy |
No facial recognition, no storage |
Less Than 10% Investment
Unlock the full value of existing CCTV infrastructure at a fraction of traditional AI deployment cost - without servers, without redevelopment, and without replacing cameras.
FAQs
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