Repeat visit
Recognizes when the same person returns within the time you set; separates staff and repeat entries from the count.
Repeat visit analytics briefly remembers every face arriving at store and business entrances. When the same person comes back within the time you set, the visit is marked as a repeat visit and excluded from the visitor count. Staff selected from the person gallery are not counted either. No images or permanent face records are stored for customers; face data is kept in memory only for the repeat period, and only the decision is recorded. This way, employees going in and out of the door many times a day and the same customer’s visits at short intervals do not inflate visitor data. On the AI search screen, repeat visit events can be filtered by date and camera.
How it works
On the Store Analytics screen, select a face camera facing the entrance.
Turn on the Don’t count repeat entries option and enter the repeat time in minutes.
Optionally, turn on Don’t count staff and add staff faces from the person gallery.
ProVife evaluates each face seen at the door once and classifies it as staff, repeat visit or new visitor.
An excluded face removes the entry that crosses the line at the same moment from the count; a person who looks at the door but does not come in does not change the count.
Settings
| Face camera | A camera facing the entrance that sees faces clearly. |
|---|---|
| Don’t count repeat entries | Excludes the same person’s second visit within the set time from the count. |
| Repeat time | How long a person is remembered; from 1 minute to 24 hours. |
| Don’t count staff | Leaves entries by staff selected from the gallery out of the visitor count. |
| Staff list | Selecting the people not to count from the person gallery. |
What it produces
- Store exclusion record (analytics.store.excluded): staff or repeat visit as the reason.
- Staff and repeat entries not counted, on separate lines in the daily report.
- Excluded entries are subtracted from the hour in which the entry occurred in the report.
- The record contains no image or face template.
What you can do with the event
- The cleaned visitor count reflected in the daily report and on the live store screen.
- Sending the daily report at the set time via WhatsApp or email.
- Downloading the report as PDF and Excel.
- Filtering repeat visit events in AI search.
Where it is used
Retail
Customers re-entering the store during the day do not inflate the visitor count.
Shopping malls
Frequent comings and goings of store staff are separated from visitor data.
Restaurants
Guests stepping out for a smoke break and coming back are not counted as new visitors.
Showrooms
Customers coming a second time on the same day are separated as repeat visits.
Camera placement
- Position the face camera facing the entrance so it sees faces close to eye level.
- Position the camera so it sees faces a short distance before the counting camera’s line.
- Block backlight coming through the door glass.
- Build the staff gallery from faces selected from the same camera.