Overview
FootfallCam Centroid™ processes up to eight HD full-motion video streams in real-time and can be deployed as a low-power edge intelligent video analytics platform for Network Video Recorders (NVR), smart cameras, and IoT gateways. It is a cost-effective solution for retailers to gain insights into shopper in-store engagement analytics by reusing the existing CCTV system, without having to invest in new infrastructure.
Technical Data
Download Spec Sheet|
Device Dimension (mm) |
140 (W) x 81 (D) x 60 (H) |
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Weight |
270 gm |
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Casing |
Made by Metal ; Black |
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CPU |
64-bit Quad-core @ 1.43GHz |
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GPU |
128-core @ 921MHz |
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Memory |
4GB 64-bit LPDDR4 @ 1600MHz | 25.6 GB/s |
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Video Encoder |
4Kp30 | (4x) 1080p30 | (2x) 1080p60 |
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Video Decoder |
4Kp60 | (2x) 4Kp30 | (8x) 1080p30 (4x) 1080p60 |
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Processor Power |
10W |
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USB |
4x USB 3.0 A (Host) | USB 2.0 Micro B (Device) |
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Display |
HDMI | DisplayPort |
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Networking |
Gigabit Ethernet (RJ45) |
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Wireless |
M.2 Key-E with PCIe x1 |
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Storage |
MicroSD card (16GB UHS-1 recommended minimum) |
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Power Supply |
5V4A DC Power Adapter |
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Average Data Transfer Rate |
5.0 kilobytes/hour *Average Data Transfer Rate is measured with a predefined sample size of 20 requests per hour. |
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Warranty |
1-year Manufacturer Warranty |
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Origin |
Made in the UK |
Key Features
Quantifying customer-product engagement levels within your store
Adding AI analytics to existing CCTV video streams captures and visualises the shopping journey over time. This helps retailers understand customers' preferred paths and touchpoints before making a purchase, providing valuable insights into shopping behaviour.
In retail settings, store staff often accompany customers, offering assistance and recommendations. Therefore, it's vital to differentiate between staff and customers when measuring engagement rates. Excluding staff from counts ensures accurate assessments of customer engagement in each area.
AI Video Analytics Technology
How to connect it up?
Each FootfallCam Centroid™ can be connected to up to 8 CCTV cameras for maximum coverage and cost-effectiveness. The videos from PoE Switch/ DVR/ 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 Analytic Manager V9™ with read-made modules and reports.
In-Store Analytics for Retail Stores
Part of FootfallCam V9 Analytics
In-store pre-purchase analytics, such as passerbys, engaged customers, and their visit duration in different areas of the store, enable retailers to gain valuable insights. However, customer engagement data alone may not offer the comprehensive shopper analytics that retailers need. By combining this data with other metrics collected by FootfallCam 3D Pro2 people counter, such as footfall, visit duration, and outside traffic, retailers can achieve a more holistic view of the data analytics essential for all businesses.
