Unparalleled Accuracy of Up to 99.5%
3D Stereo Vision + Bluetooth Counting
AI Staff Exclusion Built-in
Wide Angle 160 Degree Coverage
Dual OS for automatic software recovery
Custom logics using Low-Code
With a quad-core processor, it powers advanced stereo-vision image processing and AI video analytics, achieving up to 99.9% accuracy. It also features intelligent AI environmental change alerts.
Learn more on AccuracyCombining two counting technologies - 3D Video and Bluetooth counting, 3D Pro2 people counter provides 6x business metrics, including Footfall, Group Counts, Outside Traffic, Visit Duration, Returning Customers, and more.
Learn more on Accuracy
Using video footage to train a tailored AI model to distinguish staff uniforms and exclude them, ensuring only actual footfall counts. Cost-effective as no extra hardware is needed.
Learn more about AI Staff Exclusion
Awards:
Visitor Count
Outside Traffic
Visit Duration
Turn-in Rate
Returning Customer
Group Counting
The 3D Pro2 people counter can detect and measure the number of people visiting your store. Utilising 3D stereovision video counting and advanced tracking algorithms, it can perform bidirectional counting, which counts in and out simultaneously, achieving a counting accuracy of 95% and above.
FootfallCam can measure the number of people passing by your store by detecting smart devices via BLE and WiFi Counting. Gain insights into valuable metrics such as the number of potential sales opportunities missed during non-operating hours and the conversion rate of passer-by to in-store visitors.
The visit duration, or visitor dwell time, is measured based on the signals emitted from smart devices. This enables retailers to approximate when visitors entered and exited the store, providing insights into the average length of customer stays. Analysing dwell time and sales transactions allows management to identify areas for enhancing store operations.
By combining outside traffic data with visitor counts, retailers can determine the percentage of passersby who ultimately visit the store, known as the turn-in rate or storefront conversion rate. This metric is also a crucial element of the customer journey.
Returning Customers denotes individuals who revisit within a specified timeframe. For instance, it provides insight into the breakdown of customers who have made multiple visits within the past three months. This data serves as a potential indicator of customer loyalty, revealing patterns in visit frequency and shopping behaviours among returning clientele.
Identify the number of 'buying groups' to accurately reflect actual sales conversions. This involves measuring the number of people who enter and exit a retail store together as a group and determining the group size.
Each business would have its business use for footfall data. FootfallCam V9 provides the data views and reports that you would need, built on top of the current analytics that you have.
Learn more about FootfallCam V9
Designed to communicate and work in all types of IT network environments and third party business intelligence platform; including BacNET, MQTT, PowerBI and REST API.
Enclosed in a unibody aluminum case, it reduces the operating temperature by effectively dissipating the heat. The dual OS automatically rebuilds in case of software corruption to ensure system availability at all times.
Determine daily opening and closing times based on store lighting or shutter door status.
3D imaging analysis detects if the device is partially obstructed by an overhead decoration.
Detects “additional” objects in walk paths due to changes in product display or store furniture.
Distinguish employees from visitors for a more realistic sales conversion with actual footfall.
Continuously learn from the environment, trigger alert upon detecting a “global offshift”.
AI algorithm detects environment changes and sends alerts.
Video Playlist ()
FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Multiple units of people counter will be able to combine their data and cover multiple entrances in a single store.
04:37
Measure visitors’ behaviours within your premises, and optimise your operations for maximum ROI.
05:05
Footfallcam 3D People Counter uses stereo vision to mimic the concept of human eye imaging perception to accurately depict the direction of travel for visitors and for counting the number of visitors.
03:21
The 3D Pro2™ is designed to be installed at the different entrance of a retail store, capturing proprietary IN/OUT counting and other business metrics, which help retailers optimise their operations while maximising their sales conversions.
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Secure, the Highest Standards. Meets all industrial corporate standards, including GDPR and more, with rigorous pen tests and comprehensive policy documentation for privacy and security.
00:46
Enhance Accuracy with Staff Exclusion
01:17
FootfallCam uses advanced people counting technology that is proven to be accurate in any condition. Multiple units of people counter will be able to combine their data and cover multiple entrances in a single store.
05:05
Easy to Install. Easy to Maintain.
02:42
Metrics Captured: Visit Duration measures time in-store using Bluetooth Counting.
00:10
Metrics Captured: Outside traffic measures the average time customers spend in your store using Bluetooth Counting.
00:10
Technical Data
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Device Dimension (mm) |
154 (W) x 59 (D) x 40 (H) |
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Packing Dimension (mm) |
200 (W) x 170 (D) x 50(H) |
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Weight |
Device: 0.4 kg Packing: 0.86 kg |
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Camera |
2x 5MP, 160°, 5MP omni-vision, 5647 camera modules , RAM 1GB |
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Illumination |
Minimum 1 lux (with externalInfrared light source) |
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Frame Rate |
25 fps (Live Stream of counting willonly display 320x420 resolution toreduce bandwidth sent to databasefor verification purpose) |
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Indicator |
RGB LED status indicator |
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Casing |
Made by Aluminium oxide alloy fordust resistance with 1mm temperedglass lens-covering. |
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IP Rating |
IP64 |
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Storage |
Built-in, 8 GB Storage |
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Ideal Mounting Height |
2.1 metres – 4.5 metres |
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Operating Environment |
Temperature 10°C to 45°C,Humidity 10% to 90% |
FAQs
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