Pantau Analytics — CCTV Analysis Prototype
Prototype/design: visitor counts, parking conditions, and event indications for staff review. Results are not operational evidence.
Technology
Pantau Analytics — CCTV Analysis Prototype
Pantau Analytics remains a prototype and development design. It aims to help staff review events and summarize activity from CCTV. Modules are selected around entrance, parking, or workplace needs, then tested on site cameras.
Its status differs from Pantau CCTV management, which is already used in operations. Analytics presentation screens, detection boxes, and figures are illustrations or demo data. They do not establish accuracy, capacity, or deployment results at a client site.
The problem it aims to address
Staff cannot always watch every screen at once. Managers also need summaries of busy periods, parking conditions, or events requiring review. Analytics is designed to help identify relevant footage and organize records while staff assess the context.
Design scope
| Need | Module to discuss | Checks before deployment |
|---|---|---|
| Busy periods and area occupancy | Entrance/exit crossing counts and estimated occupancy | Entry routes, occlusion, and comparison with manual counts |
| Parking conditions | Vehicle counts, vacant spaces, and parking duration | Camera angle, space layout, and overlapping vehicles |
| Vehicle investigation | Number-plate reading with time and location | Plate size in the picture, vehicle speed, and lighting |
| Workplace safety | Helmet/vest or possible-fall indications | Object visibility, false alerts, and staff review procedures |
| Restricted areas | Activity indications within selected zones | Area boundaries, schedules, and alert recipients |
This table describes the proposed scope, not features deployed across all sites. Movement counting also differs from identifying unique visitors. A person crossing a line repeatedly may be counted more than once.
Event review workflow
The proposed workflow is camera → analysis → count or indication → review of photos and video clips → staff action. Repeated detections need grouping so one event does not generate an alert for every frame.
A possible-fall indication requires human review. This system is not presented as a substitute for staff, a diagnostic device, or a guarantee that every safety event will be detected.
Cameras, hardware, and data
Existing CCTV compatibility is assessed using sample video, device access, and recorder documentation. Angle, distance, lighting, and object size affect results. Suitability for helmet or vest detection does not automatically establish that the same camera can read plates or small objects.
The design prioritizes processing on site and does not use facial recognition. Access, retention, evidence transmission, and internet requirements for notifications are defined in the project scope. Model selection also requires reviewing code and model-weight licenses for commercial use.
Start with one testable need
Choose one location and one result to assess, such as entrance counts at the main door. Compare results with manual records during quiet and busy periods. Record missed events, false alerts, and hardware load before expanding.
The PPE camera deployment guide covers camera placement and safety testing. For an initial assessment, describe your CCTV analytics needs. The initial 15-minute discussion is free; testing and prototype scope follow your requirements.