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
Patterned Staff Tag™
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
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
Exclusion Wall 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
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.
Distinctive Features
Bad
Good
Good
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
Bad
Good
Good
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.
FAQs
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