Applicable Models

Omni-data structuring cameras are used to recognize and capture pedestrians, non-motor vehicles, and motor vehicles in scenarios with pedestrians, non-motor vehicles, and motor vehicles.

The omni-data structuring camera supports switchover among the following four modes:

• Micro checkpoint: The camera supports settings of object classification parameters and motor vehicle parameters to capture and recognize license plates, non-motor vehicles, and pedestrians.
• Face checkpoint: The camera supports settings of facial parameters to capture and recognize human faces.
• Full intelligence: The camera supports settings of facial parameters and object classification parameters to implement the face detection and object classification functions. The two functions are enabled by default.
• Behavior analysis: The camera supports a variety of behavior analysis functions such as queue length detection, crowd density detection, and intrusion detection.

Recommendation Application Scenario

The recommended application scenarios for the micro checkpoint mode and face checkpoint mode are the same as those for the micro checkpoint camera and face capture camera, respectively.

The full intelligence mode is mainly applied in scenarios where pedestrians and vehicles appear simultaneously. Example:

• Entrances and exits of gas stations, buildings, campuses, communities, and villages
• Urban intersections

Figure 1-1 and Figure 1-2 show two typical scenarios. In these two scenarios, you are advised to use external illuminators to ensure the capture effect at night.

Figure 1-1 Street where vehicles and pedestrians appear simultaneously

Figure 1-2 Entrance or exit where vehicles and pedestrians appear simultaneously

This document describes the installation plan of omni-data structuring cameras and how to check the installation effect. Table 1-1 lists the omni-data structuring camera models.