Overview
A cost-effective AI box that works with your existing CCTV infrastructure. It adds AI analytics to your CCTV systems, providing an additional data dimension. Suitable for large projects requiring crowd counting, live occupancy monitoring, and queue analysis, the Centroid processes up to 16 video streams in real-time, delivering actionable data for better decision-making.
Technical Data
Download Spec Sheet
Device Dimension (mm) |
Body: 130 x 110 x 50 Body with Antenna: 130 x 140 x 200 |
Weight |
554 gm |
Casing |
Made by Metal ; Black |
CPU |
64-bit 6-core @ 1.5GHz |
GPU |
1024-core @ 625MHz |
Memory |
8GB 128-bit LPDDR5 @ 3200MHz | 68 GB/s |
Video Encoder |
4Kp30 | (4x) 1080p30 | (2x) 1080p60 |
Video Decoder |
4Kp60 | (2x) 4Kp30 | (8x) 1080p30 (4x) 1080p60 |
Processor Power |
7-15W |
USB |
1x USB Type-A 3.2 Gen 2 |
Display |
DisplayPort |
Networking |
Gigabit Ethernet (RJ45) |
Connectivity |
M.2 Key-E with PCIe x1 |
Storage |
M.2 SSD 128GB |
Power Supply |
5V4A DC Power Adapter |
Average Data Transfer Rate |
5.0 kilobytes/hour *Average Data Transfer Rate is measured with a predefined sample size of 20 requests per hour. |
Warranty |
1-year Manufacturer Warranty |
Origin |
Made in the UK |
Key Features
Combining IP CCTV cameras with AI-powered video analytics, the FootfallCam Centroid monitors large areas (up to 10,000 sq ft) and captures occupancy density for each section. It effectively identifies hotspots and trigger alerts for on-the-spot crowd management, making it ideal for spaces where ceiling mounting is not feasible.
Live Occupancy Monitoring captures and processes real-time data to track occupancy across all venue zones. It generates instant alerts based on capacity limits, enabling operators to monitor key metrics effectively. This ensures swift responses to any situation, enhancing safety and operational efficiency within the venue.
Utilises a queue detection model to accurately measure real-time queue lengths in large venue spaces. This capability enables operators to effectively monitor queue lengths, optimise staff allocation, and reduce visitor wait times, resulting in enhanced operation efficiency, improved service levels and a more satisfying experience for all visitors.
integrates AI-powered occupancy tracking into your CCTV system, providing real-time insights into the usage of facilities such as lecture halls and conference rooms. This enhanced visibility allows facility managers to optimise space allocation and supports future planning with accurate usage data, ensuring that facilities meet user demand and improve overall operational efficiency.
Solutions
See all SolutionsHow to connect it up?
Each FootfallCam Centroid™ can be connected to up to sixteen IP cameras for maximum coverage and cost-effectiveness. The videos from PoE Switch/NVR are processed in real time to generate in-depth data analytics. The aggregated data from each raw video stream are available to be accessed through FootfallCam V9™ with read-made modules and reports.
AI Analytics for Public Venues
Part of FootfallCam V9 Analytics
Occupancy analytics, such as live occupancy, crowd density, and queue length of a venue, enable venue management to gain valuable insights. However, occupancy data alone may not offer the comprehensive visitor analytics that a venue operator needs. By combining this data with other metrics collected by the FootfallCam 3D Pro2 people counter, such as footfall and visit duration, a venue operator can achieve a more holistic view of the data analytics essential for all businesses.