- Vision AI
Foot Traffic
Retail locations, banks, and other customer-facing facilities are turning cameras they already have into a source of foot traffic and occupancy insight. CCI deploys Vision AI that turns existing camera infrastructure into people-counting and foot traffic data, giving retail, hospitality, healthcare, and multi-location operators visibility they’d otherwise need a separate system to get.
People Counting
Accurate counts of foot traffic by entrance, zone, or time of day, without adding a separate sensor system.
Dwell Time & Zone Analytics
Understand how long people spend in specific areas, useful for layout, staffing, and space planning.
Occupancy Reporting
Real-time and historical occupancy data for locations managing capacity limits or peak-hour planning.
No Separate Hardware Required in Most Cases
This typically runs on the same cameras already installed for security, activated through added edge computing hardware.
Multi-Location Benchmarking
For operators with more than one site, foot traffic data can be compared across locations to identify performance gaps or best practices worth replicating.
Restricted Zone Alerts
The same zone data that tracks dwell time and traffic patterns can flag the moment someone crosses into an area they shouldn’t be in, whether that’s after hours or the middle of a business day.
Frequently Asked Questions
What decisions could you make differently if you actually knew how people moved through your space?
Staffing, layout, and even marketing spend usually shift once real traffic patterns are visible instead of assumed.
How are other multi-location operators using this data?
Most start by benchmarking locations against each other, then use dwell time and zone data to make staffing and layout changes at the sites that need it most.
Do we need a separate camera system for this?
In most cases, no. The same cameras used for security can be activated for people counting with added edge hardware.
