The Xovis PF-Series (People Flow) is the next generation of people counting sensors — designed for large-area coverage, advanced analytics, and minimal installation effort. It is the recommended sensor for any new deployment where ceiling heights allow 2–6m mounting.

Why PF over PC Series?

Coverage

Up to 8× larger per sensor vs PC-Series. Single PF-L covers 100m² at 3.5m vs ~18m² for a PC2SE at the same height.

Processing power

Nearly 10× faster processing. 7.9 TOPS CNN-capable AI-native NPU. 44.8 GFLOPS GPU. Quad-core 4×2.1 GHz CPU.

Installation time

No floor mask, no illumination mask, no taboo mask needed. Auto-height detection. Saves ~10 minutes per sensor on large deployments.

Multisensor scale

Up to 15 PF sensors in a multisensor without a SPIDER. Can combine PF and PC sensors in the same multisensor.

Attention Metrics

On-sensor visitor engagement measurement — a PF-exclusive feature. Built on View Direction AI, measures how long visitors look at displays, products, or signage.

Firmware

Runs Firmware 5.9+. Same API, same HUB interface, same REST endpoints as PC Series — no additional integration effort.

Note: Staff Exclusion is currently NOT available on PF-Series. New approaches are in development. If staff exclusion is a hard requirement for a project, use PC-Series sensors for that entrance.

Technical highlights

Chip

Synaptics next-generation SoC — AI-native NPU architecture

NPU performance

Up to 7.9 TOPS CNN — 22.5× faster than PC2SE, 3× faster than NXP i.MX8

Mounting height

2.0 – 6.0 m (PF-L model)

Coverage at 2.5m

5.60 × 5.60 m = 31.36 m²

Coverage at 3.5m

10.0 × 10.0 m = 100 m²

Max multisensor (no SPIDER)

Up to 15 sensors

Max multisensor (with SPIDER)

Up to 350 sensors (SPIDER)

Power

PoE

Privacy

GDPR-compliant, fully compatible with evolving privacy regulations

Firmware

FW 5.9+ (FW 5.10 coming with staff analytics and enhanced Attention Metrics)

AI extensions available on PF-Series

Attention Metrics

PF-exclusive. Measures visitor gaze/engagement at displays. Powered by View Direction AI. Ideal for retail marketing ROI measurement.

Gender statistics

Available. Improved AI model for gender estimation in FW 5.9.2.

Apparent age estimation

Available. Configurable age bins (e.g. 18–28, 29–39). Age histogram logic added in FW 5.9.2.

View direction

Available

Object detection

Wheelchair, pram/stroller, bicycle, shopping cart — all available

Staff exclusion

NOT yet available on PF-Series. Coming in future firmware.

What's new in recent firmware

FW 5.9 (Feb 2026)

Baseline PF-Series release. New stitching algorithm for multisensors. Visualization maps in live view. Recording Viewer enhancements.

FW 5.9.1 (Mar 2026)

Stability improvements and performance fixes for PF, PC, and SPIDER.

FW 5.9.2 (May 2026)

Custom logic with age histograms. Improved AI model for gender statistics and apparent age on PF-L. Stability improvements.

FW 5.10 (coming soon)

Staff analytics (behaviour-based staff exclusion via defined zones/lines). New Attention Metrics enhancements.

Connecting to Vemcount

PF-Series sensors connect to Vemcount exactly the same way as PC-Series — via PoE data push to Vemcount's ingestion endpoint. The sensor MAC address is registered in Settings → Devices. All counting lines, zones, and extension data appear automatically in Vemcount once the sensor is online and configured in Xovis HUB Device Control.

Recommended use cases: Large retail stores, shopping malls, airports, transit concourses, open-plan offices. Any location where fewer sensors per floor area is a cost driver. PF-L at 3.5m ceiling covers 100m² with a single sensor — a typical 300m² store entrance needs just 3 sensors vs 15+ PC2SE sensors.

7PM

GMT+2

7PM

GMT+2

7PM

GMT+2

Who We Are

Aliquam Dui Diam, Tincidunt Eget Nulla Eget, Dictum Feugiat Felis. Cras Mattis Eget Tellus Quis Fringilla. Morbi Molestie Enim

Aliquam dui diam tincidunt eget nulla eget dictum feugiat felis.