3D Stereovision Video Counting with 25 FPS, 8MP | AI Analytics On Object Classification
Combining 3D stereoscopic image processing and AI video analytics together with advanced tracking algorithms, FootfallCam 3D Pro2™ People Counter is optimised to achieve up to 99.5% accuracy, even in environmentally challenging conditions. Embedded with a powerful 1.2GHz Quadcore processor, it is designed specifically to run complex video processing and AI-based algorithms with superior processing power.
Wheelchair | Trolley | Kids | Gender | Staff Exclusion
Utilising the 3D depth map captured by dual lens, it allows the FootfallCam 3D Pro2™ people counter to determine the height and size of the moving objects, and distinguish the objects from the people using AI algorithms. This helps to exclude the object, such as wheelchairs, trolleys, carts and strollers from the counting.
One Device, Multiple Applications
Offers deployment flexibility for both short term and long term use
Supports multiple counting functions in a single device, in which users can use interchangeably or relocate to use for other functions.
In/Out counting at entrances – Count the number of visitors entering and exiting the stores
Multiple counting lines – Count the number of visitors entering different areas
Queue counting – Measure the queue length, waiting time and serving time
Heatmap – Track the visitor engagement at different zones of interest
Returning Customers | Visit Duration | Outside Traffic
With the Wi-Fi capturing technology, the people counter is able to detect the number of smart devices within the range of Wi-Fi detection. With this, the people counter is capable of providing in depth Wi-Fi analytics and business metrics such as zone analytics, dwell time, passerbys, turn in rate, traffic flow, returning customers and cross shopping.
3D-Spacing Mapping Video Tracking Technology and AI Video Analytics.
Camera Lens Spec
Depth Field of View
Minimum 1 lux
Ideal Mounting Height
2.1 metres – 4.5 metres
|Aluminum oxide alloy|
|Power Over Ethernet|
|6W (max. 8W)|
|Supports a network of up to 250 IoT devices via RF|