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ACC 6 Enterprise Datasheet

• Select an exclusion

• Select an exclusion area then click to delete the exclusion area. • Click to restore the default green overlay. 3. Define the objects that are detected by the system. a. Check the Person box to detect people in the area. b. Check the Vehicle boxes to detect vehicles in the area. c. Move the Sensitivity: slider to adjust how sensitive the system is to the detection of classified objects. d. In the Threshold Time: field, adjust how long an object must be moving before it is considered a moving object. e. In the Pre-Motion Record Time: and Post-Motion Record Time: fields, specify how long video is recorded before and after a classified object motion detection event. 4. Click Apply to save your settings. Self-Learning Video Analytics Rialto video analytics appliances and Avigilon cameras with self-learning video analytics can be configured to learn their surroundings and detect specific events. To configure Classified Object Motion Detection for a video analytics camera, see Setting Up Classified Object Motion Detection on page 64. Configuring Video Analytics Cameras Cameras with video analytics can be configured to better understand the scene where it is installed and improve the accuracy of the camera's classified object detection. 1. In the device Setup tab, click . The Video Analytics Configuration dialog box opens. 2. From the Location: drop down list, select the location that best describes where the camera is installed: The Location: setting helps the camera identify what it should be looking for. • Outdoor — Use for outdoor scenes. This setting detects humans and vehicles. • Large Indoor Area — Use for indoor scenes with a width of 1.5 m (5 ft) or more. Vehicle detection is disabled. • Indoor Overhead — Use when the camera is mounted overhead, typically in the center of a room. This setting is useful for counting people. Vehicle detection is disabled. Self-Learning Video Analytics 66

• Outdoor High Sensitivity — This setting allows the analytics to run with higher sensitivity for detecting humans and can be used in more challenging scenes. More frequent false positives may occur. This setting detects humans and vehicles. NOTE: If you change the Location: setting after it has been set, the system will delete any data the device may have learned. 3. Move the Tampering Sensitivity: slider to define how sensitive the camera is to sudden changes in the scene. Tampering is defined as a sudden change in the camera field of view, usually caused by someone unexpectedly moving the camera. Lower the setting if small changes in the scene, like moving shadows, cause tampering events. If the camera is installed indoors and the scene is unlikely to change, you can increase the setting to capture more unusual events. 4. Check the Enable Noise Filter box if the camera is too sensitive and falsely detects motion as classified objects. Disable this option if the camera is not sensitive enough. 5. Click Apply to save your settings. Next, you can enable self-learning and configure analytics events. For more information, see Self-Learning on the next page or Video Analytics Events on page 72 Configuring Video Analytics Appliances To use a video analytics appliance, configure each connected camera channel for video analytics detection. If you are configuring an analog video analytics appliance, the cameras are physically connected to each camera channel before the appliance is connected to the system. If you are configuring an IP video analytics appliance, any camera on the network can be digitally connected to the appliance camera channels. Before you complete this procedure, connect the required cameras first. For more information, see Connecting Cameras to a Video Analytics Appliance on page 25. 1. Open the Setup tab, then select one of the appliance camera channels. 2. In the device Setup tab, click . The Video Analytics Configuration dialog box opens. 3. From the Location: drop down list, select the location that best describes where the camera is installed: The Location: setting helps the camera identify what it should be looking for. • Outdoor — Use for outdoor scenes. This setting detects humans and vehicles. • Large Indoor Area — Use for indoor scenes with a width of 1.5 m (5 ft) or more. Vehicle detection is disabled. • Indoor Overhead — Use when the camera is mounted overhead, typically in the center of a room. This setting is useful for counting people. Vehicle detection is disabled. Configuring Video Analytics Appliances 67

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