Confidential project summary
People Counting & Visitor Analytics
Camera-based entrance counts converted into time-based visitor trends and operational reports without storing identity information as the business output.
- Industry
- Retail & Facilities
- Deployment
- Camera analytics pilot
- Location
- Malaysia
01
Challenge
Manual visitor estimates did not provide consistent, time-based information for comparing entrances and operating periods.
02
Objectives
- Estimate directional visitor flow
- Report hourly and daily patterns
- Provide clear data-quality indicators
03
Constraints
- Overlapping visitors and group movement
- Changing shadows and entrance lighting
- Privacy and access-control expectations
04
System Architecture
- 1Camera with a calibrated counting line
- 2Edge inference and event aggregation
- 3Secure dashboard with trends and exports
05
Implementation
- Validated the entrance field of view
- Tuned counting zones against representative traffic
- Built reporting around operational time periods
06
Results
- Consistent time-based visitor reporting
- A repeatable review process for count quality
- Operational trends available without manual tallying
Technology Stack
- Computer vision
- Edge AI
- IP cameras
- Time-series reports
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