Exclude staff from people counts
Staff exclusion refers to the ability to differentiate between visitors and staff members when counting people. This filtering of employees leads to better decision-making and gives actionable data analytics
Why does staff exclusion matter?
Counting staff separately to visitors enables a range of actionable insights to boost profits and at the same time increase visitor satisfaction.
- Understand how staff presence influences customer and visitor behaviour
- Increase count accuracy in low traffic situations
- Ensure staff levels match footfall density, anticipating staffing needs
- Compare customer dwell time (browsing time) with staff levels - the longer the dwell time the more sales are made
- Test store layouts versus staff levels and conversion
- increase accuracy of heat maps showing most popular areas visited
How staff exclusion works
Some methods rely on staff wearing special tags which are picked up by people counting sensors. The latest systems though use artificial intelligence in their counting algorithms. AI systems quickly learn to identify members of staff by their uniforms. differentiate between staff and visitors based on their clothing Using existing CCTV and analysing the video feed produced, the system accurately detects and counts people. With staff exclusion a separate count staff members is maintained. This leads to new key performance indicators that managers can use to increase sales and optimise the customer experience.
What about data protection?
In normal use no video is transmitted and individuals are not identified. An AI system saves and sends only the counts.
