Small Retailer
Centroid-64 is a high-density retail intelligence engine designed for large-format stores. It processes multiple video streams simultaneously, enabling scalable analytics across existing CCTV infrastructure while maintaining consistent performance and rapid deployment.
Designed for large-scale deployments, Centroid-64 processes up to 64 channels concurrently, enabling centralised analytics and high-performance video processing across complex environments.
Built for mid-sized deployments, Centroid-32 supports up to 32 channels with efficient processing, delivering reliable analytics and real-time insights in a compact form factor.
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.
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.
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.
Centroid-64 is deployed based on site requirements, not fixed scaling paths. Whether a store needs one, four, or ten units, each deployment is sized to match the environment, supporting different store formats and camera volumes without redesigning system architecture.
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
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
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
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Device Dimension (mm) |
419 mm x 320 mm x 68 mm |
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Weight |
5.4kg |
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Casing |
Metal Casing |
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No. of AI Channels |
64 |
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Camera Compatibility |
IP Cameras only |
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Video Input |
RTSP / ONVIF |
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Output |
Analytics data |
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Input Power |
AC 110-230V, 50~60Hz |
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Power Consumption |
70W ~ 100W |
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Memory |
24/7 continuous |
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Operation |
Up to 16GB 128-bit LPDDR4X |
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Privacy |
No facial recognition, no storage |
Unlock the full value of existing CCTV infrastructure at a fraction of traditional AI deployment cost - without servers, without redevelopment, and without replacing cameras.
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