How accurate is Staff recognition?
Staff recognition is typically 99%.
It is important to note that this is dependent on staff wearing the visually distinct cue that was used to initially train the algorithm.
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How does it recognise staff?
We train the algorithm to recognise a visually distinct cue such as staff uniform or a lanyard using images provided by you. Lanyards work best when there is a clear contrast between the lanyard and the clothing. A white lanyard on a white shirt is ...
How accurate is Age recognition?
Age recognition is typically between 85% to 90% We segment age data and into the following seven categories: under 16 16 to 24 25 to 34 35 to 44 45 to 54 55 to 64 65+
How accurate is gender recognition?
Gender recognition is typically 95% across male and female categories.
Can we choose custom age groups?
The age group segmentation has been trained on massive data sets and these cannot be amended. You can filter age groups to the following categories: under 16s 16-24 25-34 35-44 45-54 55-64 65 and over
How is the accuracy of entry counts evaluated?
We conduct initial audits for each location to ensure the accuracy of counts meets our strict requirements. In the rare instance where a location fails an audit, it is usually because the entrance has been obstructed — possibly by a product display ...