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ACC 6 Enterprise Datasheet

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• Select an exclusion area then click to delete the exclusion area.<br />

• Click to restore the default green overlay.<br />

3. Define the objects that are detected by the system.<br />

a. Check the Person box to detect people in the area.<br />

b. Check the Vehicle boxes to detect vehicles in the area.<br />

c. Move the Sensitivity: slider to adjust how sensitive the system is to the detection of classified<br />

objects.<br />

d. In the Threshold Time: field, adjust how long an object must be moving before it is considered a<br />

moving object.<br />

e. In the Pre-Motion Record Time: and Post-Motion Record Time: fields, specify how long video is<br />

recorded before and after a classified object motion detection event.<br />

4. Click Apply to save your settings.<br />

Self-Learning Video Analytics<br />

Rialto video analytics appliances and Avigilon cameras with self-learning video analytics can be configured to<br />

learn their surroundings and detect specific events.<br />

To configure Classified Object Motion Detection for a video analytics camera, see Setting Up Classified Object<br />

Motion Detection on page 64.<br />

Configuring Video Analytics Cameras<br />

Cameras with video analytics can be configured to better understand the scene where it is installed and<br />

improve the accuracy of the camera's classified object detection.<br />

1. In the device Setup tab, click .<br />

The Video Analytics Configuration dialog box opens.<br />

2. From the Location: drop down list, select the location that best describes where the camera is installed:<br />

The Location: setting helps the camera identify what it should be looking for.<br />

• Outdoor — Use for outdoor scenes. This setting detects humans and vehicles.<br />

• Large Indoor Area — Use for indoor scenes with a width of 1.5 m (5 ft) or more. Vehicle detection is<br />

disabled.<br />

• Indoor Overhead — Use when the camera is mounted overhead, typically in the center of a room.<br />

This setting is useful for counting people. Vehicle detection is disabled.<br />

Self-Learning Video Analytics 66

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