Staff Exclusion

Differentiate Staff from Footfall Counts

Exclude Staff from In/Out Counting

Anonymous Staff Detection

Suitable for any store staffs

Watch Video (01:17)
Request for Quote
Banner

Overview

Enhance Accuracy with Staff Exclusion

Accurate people counting data is crucial for effective decision-making in business operations. However, including staff in the count may skew the numbers. FootfallCam provides the staff exclusion function to rectify this, ensuring reliable footfall data for precise insights and decisions, such as reflecting accurate sales conversion rates.

There are three staff exclusion accessories available, each are tailored to a specific staff use case.

Staff Exclusion Accessories

FootfallCam People Counting System - Patterned Staff Tag

Patterned Staff Badge™

Using the latest in image processing technology, the people counter will exclude any person wearing the tag from being counted. To promote privacy and security, the people counter anonymises the staff exclusion tag’s identification so that it is not traceable.

  • Suitable for any store staffs
  • Unique pattern designed recognisable by FootfallCam counters
  • Privacy and Security: Anonymous staff detection
FootfallCam People Counting System - Fabric Staff Tag

Fabric Staff Tag™

Using the latest Time-of-flight technology to exclude any person wearing the tag in special material from being counted. To promote privacy and security, the people counter anonymises the staff exclusion tag’s identification so that it is not traceable.

  • Suitable for any store staffs
  • Privacy and Security: Anonymous staff detection
  • Wash durability and stain resistance
FootfallCam People Counting System - Exclusion Wall Button

Staff Exclusion Button™

A standalone accessory that wirelessly connects to the FootfallCam people counter. To ensure exclusion from footfall counts, staff or third-party delivery personnel simply need to press the Exclusion Wall Button before entering the doorway. This proactive step guarantees accurate footfall data by not counting them.

  • Suitable for any store staffs and any third party delivery man
  • Wireless Long range transmission distances using Bluetooth 5.1
  • Support both installation methods with Double-side Adhesive Tape or Screw Bracket
FootfallCam People Counting System - Staff Beacon

Staff Beacon™

Using Bluetooth technology, the 3D Pro2 people counter can automatically identify if a tag is within close proximity, enabling the detection of staff presence without additional steps. Designed as a pocket-sized, visually unobtrusive solution, staff only need to carry the tag with them, no manual actions required.

  • Suitable for any store staff
  • Privacy and Security: Anonymous staff detection
  • Long-lasting battery for extended use

AI Staff Exclusion Method: Recognising Staff Uniforms and Excluding Them from Counting

World’s First AI-Driven Staff Exclusion

We are the first to introduce a cost-effective staff exclusion method using video footage to train an AI model to recognise staff uniforms.

  • Requires no extra hardware
  • Especially effective with distinctive uniforms featuring unique colours or patterns, different from normal customers.
  • The more distinctive the uniform, the higher the accuracy.

With our extensive experience with various uniforms, feel free to ask us if your uniform can be effectively recognised.

Contact us to learn more
FootfallCam - World’s First AI-Driven Staff Exclusion

Distinctive Features

FootfallCam - Distinctive Features

Bad

FootfallCam - Distinctive Features

Good

FootfallCam - Distinctive Features

Good

FootfallCam - Distinctive Features

Good

Bad: No visual distinctive design pattern is identified; the combination of colours is commonly worn by customers.

Good: Unique patterns with relatively large print designs or combinations of distinctive colours that form a pattern.

Distinctive Colours

FootfallCam - Distinctive Colours

Bad

FootfallCam - Distinctive Colours

Good

FootfallCam - Distinctive Colours

Good

FootfallCam - Distinctive Colours

Good

Bad: Most customers wear black and white clothing, making these colours insufficient for distinguishing staff from customers.

Good: Vibrant or more eye-catching colors that are not commonly worn by regular customers.

Chat With Us