In the last few years, the role of people counting has shifted dramatically. What was once a simple device for footfall tracking at store entrances is now expected to do much more — from tracking complex movement patterns to integrating with building systems and delivering real-time business insights.
The traditional approach was no longer enough.
That’s why we developed the FootfallCam Pro2 (2025) — our next-generation people counting system, purpose-built to meet the evolving needs of smarter spaces, multi-sensor environments, and data-driven decision-makers.
We designed it for scale, complexity, and accuracy. Whether you’re managing a busy airport, a large shopping mall, or a hybrid smart building, the Pro2 (2025) gives you the power to:
- Track visitors using Re-ID
- Combine 3D vision + AI + BLE for multi-layered accuracy
- Process complex algorithms in real time with an octa-core CPU and 8 TOPs edge AI
- Seamlessly integrate with existing CCTV and Pro1 for cost effective solution
- Support future AI models without replacing hardware
The launch of Pro2 (2025) marks a step forward: from people counting as a static metric, to a dynamic understanding of human movement and behavior — all in one compact, scalable device.
Features | 3D Pro 2 (2.0) | 3D Pro 2 2025 |
CPU | Quad Core | Octa Core |
Frame Rate | 15 FPS | 25 FPS |
AI Tops | 0 Tops | 8 Tops |
Counting Accuracy | 95% with 3D stereo vision | 99.5% with sensor fusion technology (3D stereo vision, AI Re-ID, AI Depth View) |
Installation Height Range | 2.1m – 4.5m | 2.1m – 6.0m |
Coverage Area (at 4.5m) | 26.84 m² | 84.79 m² |
Edge Processing | Basic object detection | Advance AI on-device (staff filtering, object detection) |
Integration Capability | API support only | RTSP CCTV binding + full API support |
Entrance Counting metrics |
6 Metrics
|
8 Metrics
|
In-Store Analytics metrics |
Basic
|
Full In-Store Analytics
|
Staff Exclusion | Basic (uniform detection, staff tags etc,) | Re-Identification Model |
Re-Identification | ❌ | ✔️ |
Sister Device (Pro1 & CCTV) | ❌ | ✔️ |
Read more on our webinar
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