Distinguishing employees from visitors is a new trend in visitor counting technologies. Applications of this functionality are diverse, ranging from excluding staff in low-traffic environments to getting more accurate data, understanding how staff movement affects customers, and even automating staff calls when customers wait.
How does it work
First, it is important to understand how technology works. Mavenstat uses a sensor to detect invisible infrared light that has been reflected by people passing by. By analyzing this information, the technology can accurately identify when someone is crossing.
Staff can be distinguished from visitors by wearing a passive lanyard made of special material. The infrared light reflected from this material has a specific code that can be identified by ensuring that the employee is properly tracked.
The lanyard is unobtrusive, discreet and works regardless of the color or style of the clothing. Unlike other technologies that can locate staff, the sensor does not require RF tags, beacons, batteries or other devices.
Employee confidentiality is guaranteed as the system does not differentiate between individual staff members.
Do I need to detect staff
If you answer “yes” to one or more of the questions below, it is likely that is important to have sensors for human flow analysis that can accurately distinguish employees from visitors.
- Do you have a low traffic flow environment where staff movement distorts the data?
- Do you want to exclude employees from number of visitors?
- Do you want to count the number of times your employees have walked in and out of the store?
- Do you want to understand how staff interact with customers?
- Do you want to automate calls for staff when a customer is waiting?
- Do you have door or security staff working within your store?
Data is only useful if it is accurate. By excluding employees and improving the accuracy of your footfall data you can make better informed decisions about your business.