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ObjectVideo's retail solution identifies events at the register that correlate to loss, track and calculate the effectiveness of merchandising displays, monitor unauthorized door access, detect suspicious people or vehicles loitering in the parking lot, and count store traffic and checkout queues in order to optimize staffing.
ObjectVideo technology can be used to look for several behaviors indicative of customer or employee theft:
- Left packages outside the back exit
- Personal vehicles in loading docks
- Extended loitering within store
- Stopped/loitering vehicles
- Entry to a “returns” line from within the store
- Person running out of store/sudden exit
- Stockroom/warehouse inventory monitoring
- High theft item monitoring
- Objects removed from shipping/receiving areas
- Unauthorized access to counter/display areas
A retail operation may include a store and warehouse, which requires constant security surveillance to protect inventory and other assets against loss:
- General perimeter protection (after hours)
- Loitering anywhere
- Unauthorized entrance through fire doors
- Loading dock security
- Vandalism
- Vault access (via access control system integration)
- Camera tampering
- After hours people detection
Public safety is a non-theft issue that is top of mind for retailers, examples include dark parking lots at night, or customers slipping
and falling in store aisles:
- Vehicles speeding in parking lots
- Stopped vehicles in fire lanes
- Gangs or groups of people forming
- Spills/items left behind in aisles
- Objects blocking fire exits
ObjectVideo intelligence can generate business data about each object that moves through a store which can be used for merchandising or
real-time event counting.
- High value or promotional item monitoring
- Display/shelf space effectiveness (comparison of normal traffic patterns to people who stop in front of a particular product or display)
- People counting (in and out of store; into promotional areas)
- Vehicle counting for parking lots and garages
- Forensics analysis of data to determine trends and patterns of customer behavior
