Overview
FootfallCam Centroid DVR is a cutting-edge DVR with integrated AI capabilities, offering advanced security and business analytics in one device. With just a 15% increase in total cost of ownership, you gain next-generation security features along with powerful retail insights. Designed to hot-swap with your existing DVR, it works with your current analogue or IP CCTV cameras. The built-in AI analytics add a new layer of value by delivering in-store retail data, helping you make more informed business decisions.
Technical Data
Download Spec Sheet
Device Dimension (mm) |
430 (W) x 330 (D) x 88 (H) |
Weight |
7kg |
Casing |
Made by Metal |
Input Power |
AC 110-230V, 50~60Hz |
Power Consumption |
80W |
CPU |
64-bit 6-core @ 1.5GHz |
GPU |
1024-core @ 625MHz |
Memory |
8GB 128-bit LPDDR5 @ 3200MHz | 68 GB/s |
DVR Codec |
H.265 |
DVR Audio |
G.711A |
Video Encoder |
16*5M-N@6fps (6 in 1) / 16*4M-N@8fps (6 in 1) / 16*1080P@8fps(6 in 1), default 5M-N |
Video Decoder |
8*5M-N@6fps (6 in 1) / 16*4M-N@8fps (6 in 1) / 16*1080P@8fps(6 in 1), default 5M-N |
Multi Mode Input |
Analog:16*5M-N; Hybrid:16*5M-N (Analog) + 4*1080P (Network) Network:16*1080P; 8*5M |
Record Mode |
Manual > Alarm > Motion Detection > Timing |
Local Playback |
16CH (Analog Input Mode) |
Video Input Port |
16CHx BNC |
Display |
1x VGA, 1x HDMI |
HDD |
2x SATA ports (Max 14TB/per ) |
USB |
2x USB 2.0 Ports |
Warranty |
1 year from first allocation date (Warranty extension available upon request) |
Origin |
Made in the UK |
Features
The Centroid DVR leverages advanced facial recognition technology to enhance security within retail environments. By identifying individuals on a blacklist, it effectively monitors customer entry and behaviour. This proactive approach allows staff to respond quickly to potential security threats, creating a safer shopping experience for all customers.
Utilising a sophisticated tracking model, the Centroid DVR detects suspicious movements and actions among visitors. When unusual behaviour is identified, the system triggers alerts for staff, empowering them to manage the entry of potentially problematic individuals, thus enhancing overall security and minimising the risk of theft.
Track your shoppers' journey within the store, from the areas they visited to the products they engaged with, and whether they made a purchase. By classifying shoppers based on their behaviours, retailers can gain deeper insights, tailor product offerings, and customise store layouts and merchandising to better meet customer needs and enhance the overall shopping experience.
Classifies visitors by gender, age group, and emotional expression, providing valuable demographic insights. This analysis enables retailers to tailor marketing strategies and improve customer engagement by better understanding their audience, ultimately leading to enhanced customer experiences and more effective promotional efforts within the retail space.
With its queue detection model, the Centroid DVR accurately measures real-time queue lengths in retail environments. This capability allows retailers to monitor in-store traffic effectively, optimise staff allocation, and reduce customer wait times, leading to improved service levels and a more satisfying shopping experience for all customers.
The heatmap functionality visualises in-store customer activity, highlighting areas of high and low engagement. By identifying "hot" and "cold" zones, retailers can better understand customer preferences, optimise store layouts, and enhance marketing strategies, ultimately driving sales and improving overall customer satisfaction.
Employing skeleton tracking technology, the Centroid DVR measures customer engagement at the product level. This detailed analysis identifies which products attract the most attention and which receive less interest, enabling retailers to make informed inventory decisions, adjust product placements, and implement targeted marketing strategies to boost sales.
Utilise staff uniform recognition technology to differentiate between staff and customers effectively. This feature measures the average duration of customer interactions with staff, providing valuable insights into service quality and efficiency, enabling retailers to enhance customer engagement and overall satisfaction within their stores.
Monitor seat occupancy and availability throughout different hours and identify high-usage dine-in areas. This metric enables restaurant operators to make operational decisions, such as increasing staff during peak hours to clear tables faster or expanding seating in future locations, preventing lost sales from potential customers walking away due to long queues or full occupancy.
How to connect it up?
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.