Technical Specifications

Up to 64 concurrent streams processed in real time, supporting standard IP cameras and structured analytics output within a compact edge appliance.

Centroid-64

Centroid-64 is engineered with clearly defined processing limits, input standards, and output formats. Each specification reflects real deployment constraints, ensuring predictable performance in production environments.

FootfallCam Centroid-64 Dimension Diagram
Category
Specification

Dimensions

419 (W) x 320 (D) x 68 (H)

Weight

Device: 5.4 kg

Casing

Anodised Aluminium Casing

CPU

Quad Cortex®‑A76 @ 2.2~2.4GHz and Quad Cortex®‑A55 @ 1.8GHz

GPU

Arm Mali™ G610MP4

NPU

48 TOPS

No. of AI Channels

64

Input Power

AC 110~230V, 50~60Hz

Network Interface

Ethernet

Processor Class

Embedded multi-core edge processor

Video Input

Supports RTSP and ONVIF-compatible IP cameras. Compatible with standard network video streams from existing CCTV infrastructure. No proprietary encoding or camera dependency required.

Attribute
Summary

Supported Protocols

RTSP / ONVIF

Processing Capacity

Supports up to 64 concurrent video streams per unit. Streams are processed continuously in real time with parallel execution across all active inputs. No batch processing or deferred workloads.

Attribute
Summary

Maximum Streams

64

Processing Mode

Real-time

Execution

Parallel

Analytics Output

Outputs structured data via API and data streaming interfaces. Data is formatted for integration with dashboards, BI platforms, or external systems.

Output Data

FootfallCam In / Out Counts Icon

In / Out Counts

FootfallCam Zone Occupancy Icon

Zone Occupancy

FootfallCam Movement Flow Icon

Movement Flow

FootfallCam Queue Indicators Icon

Queue Indicators

System Architecture

Operates as a self-contained edge appliance. All video processing is performed locally. No dependency on external GPU servers or cloud-based processing.

Edge Appliance

Local Processing

No Cloud Dependency

Performance Characteristics

Designed for continuous operation under full load. Maintains consistent processing behaviour across all active streams within defined capacity. No dynamic scaling or workload redistribution.

Continuous Operation

Stable Throughput

Fixed Capacity Behaviour

Power and Physical

Designed for deployment in standard IT environments. Compact form factor suitable for comm rooms or back-office installation. Lower power consumption compared to GPU-based compute systems.

Attribute
Summary

Form Factor

TBD

Power Consumption

TBD

Mounting

Rack / Shelf

Privacy and Compliance

Processes video data locally. No facial recognition or identity tracking. Exports anonymised analytics data only. Supports compliance with GDPR and similar data protection frameworks.

No Facial Recognition

No Identity Tracking

GDPR-Aligned