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

Staffing, layout, and even marketing spend usually shift once real traffic patterns are visible instead of assumed.

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.

In most cases, no. The same cameras used for security can be activated for people counting with added edge hardware.

Still have questions about Vision AI: Foot Traffic? Ask us directly.