Video Structured Analytics:
The video structured analysis module is responsible for converting raw video data into analyzable, categorized information. By extracting metadata from the video, this module enables searching, filtering, and analyzing events, and serves as the core foundation for intelligent decision‑making, precise reporting, and integration with management and security systems.
Note: All of these modules are computer vision modules and perform detection solely based on video images. Therefore, they do not require auxiliary sensors, and the target to be identified must be within the camera’s field of view.
MOdules
Pedestrian Detection
Identifying and tracking individuals moving in public environments to enhance safety and traffic management
Facial Detection
Identifying and distinguishing individuals' faces in an image for security applications, authentication, and attendance analysis.
Lose/Add Object Detection
Identifying scene changes by detecting the removal or addition of objects to enhance security and process control.
Vehicle Detection
Identifying various types of vehicles in an image for traffic analysis, parking control, and traffic monitoring.
ArUco Reader
Identifying and reading ArUco markers to determine position, orientation, and calibration in computer vision systems.
Shelf Detection
Identifying and monitoring shelves in images for layout management and inventory control in stores and warehouses.
Color Detection
Identifying and distinguishing the colors of objects in an image for classification, quality control, and visual matching.
Bag Counter on Conveyor
Automatic counting of bags or packages on a conveyor belt to support item control, load management, and improved operational accuracy.