Manual people counting is time-consuming, difficult to verify, and unreliable in busy spaces where individuals may overlap, stop, change direction, or temporarily disappear from view. This solution automates the process by analyzing uploaded video, detecting visible heads, tracking movement across frames, and calculating a unique-person count for the full recording.
The platform is optimized for corridor-style spaces such as building entrances, passageways, event access points, transit areas, educational facilities, warehouses, and controlled pedestrian routes. Its tracking workflow helps reduce duplicate counting by associating detections across consecutive frames rather than treating each appearance as a new individual.
A resilient background job system handles video processing independently from the web interface. Users can upload footage, monitor processing status, recover from temporary failures, and continue using the application while long-running analysis completes.
Once processing is finished, the system provides a downloadable annotated video displaying detections, tracking indicators, and live count information. Detailed CSV logs record frame-level and tracking-level results for auditing, reporting, or integration with other analytical systems.
The solution includes a one-command Google Cloud Platform deployment workflow with automated service startup and restart support. This helps simplify production deployment, improve reliability, and reduce operational maintenance.
The platform can help organizations understand pedestrian flow, measure facility usage, validate attendance, analyze congestion, and improve space planning without requiring continuous manual observation.
Need a cloud-based people-counting, crowd analytics, or intelligent video-processing platform? Let’s build a production-ready solution around your environment, footage, and reporting requirements.