Intelligent Vehicle Analysis

Principles

Figure 4-276 Principles

Differences

Table 4-249 describes the differences between the intelligent analysis using cameras and that using the HWT-IVS1800.

Application Limitations

• For details about the data retention period and clearance rules, see Data Clearance Rules.
• Intelligent vehicle analysis is not supported for video encoded in the MJPEG format.
• To configure intelligent analysis for cameras on the iClient S100, the camera version must be 9.0.0 or later.

Context

• Object classification algorithms can recognize motor vehicles, non-motorized vehicles, and pedestrians in video at the same time.

• The intelligent attribute of the camera is automatically set to Others when an intelligent analysis function is enabled.
• Cameras have been configured to synchronize time with the HWT-IVS1800. This function is enabled by default. For details, see Configuring Time Synchronization from a Camera to the HWT-IVS1800.

Procedure (on the LDU)

1. Log in to the LDU as the admin user. ( Logging In to the LDU)
2. Disable target detection, situation analysis, and object classification of the camera.
   • For details about how to disable target detection, see Enabling Target Recognition.
   • For details about how to disable situation analysis, see Situation Analysis.
   • For details about how to disable object classification, see 4.

3. Set the camera algorithm mode. You need to set the camera algorithm mode only for some camera models. If the camera algorithm mode is not displayed, skip this step.
   1. Click in the upper left corner.
   2. Choose Intelligent Application > Camera Intelligence > Algorithm Mode.
   3. Set the camera algorithm mode, as shown in Figure 4-277.
      Figure 4-277 Setting the camera algorithm mode
      

      Table 4-250 describes the key parameters. You only need to set the parameters listed here.

      Table 4-250 Parameter description

      Parameter	Setting
      Algorithm Type	Select Micro checkpoint.

4. Configure object classification.
   1. Choose Intelligent Application > Camera Intelligence > Vehicle Intelligence > Object Classification.
   2. Configure object classification, as shown in Figure 4-278.
      Figure 4-278 Configuring object classification
      

      Table 4-251 describes the parameters.

      Table 4-251 Parameter description

      Parameter	Description
      Enable	Indicates whether to enable object classification. After this function is enabled, the camera detects motor vehicles, non-motorized vehicles, and pedestrians in live video.
      Detection area	Draws a detection area.
      Plate Brightness Compensation	If the brightness of the license plate is too high or too low, you can enable this function to compensate brightness for captured license plate images. Enable Disable
      Plate Compensation Level	This parameter is available only when Plate Brightness Compensation is set to Enable. A higher compensation level indicates a larger degree for increasing or decreasing the license plate brightness.
      Enhance Plate Image	The system enhances the license plate image through noise reduction, deblurring, or dirt removal to improve the license plate brightness and contrast.
      Enhancement Coefficient	This parameter is available only when Enhance Plate Image is enabled. The default value is 100.
      Local Plate	Preferential province (or city) name abbreviation used when the first character of a license plate cannot be recognized. Only one province (or city) name abbreviation can be configured.

5. Enable motor vehicle detection. Motor vehicle detection and object classification are mutually exclusive. Only one of them can be enabled at a time.
   1. Choose Intelligent Application > Camera Intelligence > Vehicle Intelligence > Motor Vehicle Detection.
   2. Set motor vehicle detection parameters, as shown in Figure 4-279.
      Figure 4-279 Setting motor vehicle detection parameters
      

      Table 4-252 describes the parameters.

      Table 4-252 Parameter description

      Parameter	Description
      	Indicates whether to enable Motor Vehicle Capture. After this function is enabled, the camera recognizes the license plate of a motor vehicle that appears in the live video.
      Detection area	Draws a detection area.
      Plate Brightness Compensation	If the brightness of a license plate is too high or too low, you can enable this function to compensate brightness for captured license plate images. Enable Disable
      Plate Compensation Level	This parameter is available only when Plate Brightness Compensation is set to Enable. A higher compensation level indicates a larger degree for increasing or decreasing the license plate brightness.
      Enhance Plate Image	The system enhances the license plate image through noise reduction, deblurring, or dirt removal to improve the license plate brightness and contrast.
      Enhancement Coefficient	This parameter is available only when Enhance Plate Image is enabled. The default value is 100.
      Local Plate	Local plate name abbreviation used when the first character of a license plate cannot be recognized. Only one province (or city) name abbreviation can be configured.

Procedure (on the iClient S100)

1. Configure the algorithm mode.
   1. On the iClient S100 home page, choose Maintenance Management > Smart Configuration.
   2. Select a camera connected to an HWT-IVS1800 and choose Smart Global Configuration > Algorithm Mode.
   3. Set Algorithm to Micro checkpoint.
      

      After the algorithm mode is switched, the camera will restart for the setting to take effect. To configure intelligent services, wait for about 3 minutes after the restart.

   4. Click Save.

2. Configure object classification.
   1. On the iClient S100 home page, choose Maintenance Management > Smart Configuration.
   2. Select a camera connected to an HWT-IVS1800 and choose Vehicle Intelligence > Object Classification.

   3. Enable the object classification function, add a detection area, and set related parameters, as shown in Figure 4-280. Table 4-253 describes the parameters.

      Figure 4-280 Configuring object classification
      
      Table 4-253 Parameter description

      Parameter	Description
      Object Classification	Indicates whether to enable the object classification function. NOTE: Object classification and motor vehicle detection cannot be enabled at the same time. To enable object classification, ensure that motor vehicle detection is disabled.
      Brightness Compensation	If the brightness of a license plate is too high or too low, you can enable this function to compensate brightness for captured license plate images.
      Compensation Coefficient	Level of brightness compensation for captured license plate images. This parameter is available only when Brightness Compensation is enabled. You can increase the value of the parameter when the environment is dark.
      LocalLicensePlate (City)	Local plate name abbreviation used when the first character of a license plate cannot be recognized. Only one province (or city) name abbreviation can be configured.
      Area	Button for adding a detection area. You can draw only one detection area.
      Delete	Button for deleting a selected detection area.

   4. Click Save.

3. Verification
   1. On the iClient S100 home page, choose Intelligent Applications > Object Classification.
   2. Drag the required camera to the video pane. Object classification results and snapshots will be displayed below the video pane in real time, as shown in Figure 4-281.
      Figure 4-281 Object classification results
      

Related Feature Operations

For details about operations related to vehicle attribute recognition, see the feature guide.

• Vehicle Attribute Recognition
• Object Classification
• Vehicle Search by Attribute
• Vehicle Alert
• Parking Violation Detection

Definition

Vehicle attributes in video can be detected in real time.

Vehicle attributes include license plate characters, vehicle color, vehicle type, vehicle make, vehicle model, and model year.

Customer Benefits

The system automatically recognizes vehicle attributes, reducing labor costs, shortening service processing time, and enhancing service efficiency.

Application Scenario

When a robbery is reported, the X city executes a vehicle attribute recognition task on cameras at main intersections during the case occurrence period to collect the vehicle attribute information.

Requirements

Application Limitations

• Only the video-based mode is supported for object classification.
• Recognition of motor vehicles in mixed scenarios is supported only in the Chinese mainland.
• Vehicle search by image is not supported.

Scenario Description

Table 4-254 describes the support for this feature in different client scenarios.

Scenario Description

Table 4-255 describes the support for this feature in different client scenarios.

Definition

Person and vehicle attributes in video can be structured as input of intelligent analysis tasks.

Customer Benefits

This feature implements object classification in scenarios with both pedestrians and vehicles.

Application Scenario

Users can execute pedestrian and vehicle data structuring tasks on specified video.

Requirements

Application Limitations

• Only the video-based mode is supported for object classification.
• Recognition of motor vehicles in mixed scenarios is supported only in the Chinese mainland.
• Vehicle search by image is not supported.

Scenario Description

Table 4-256 describes the support for this feature in different client scenarios.

Scenario Description

Table 4-257 describes the support for this feature in different client scenarios.

Procedure

1. Log in to the LDU as the admin user. ( Logging In to the LDU)
2. View real-time alarms.
   1. Right-click on the desktop and choose Live > Alarm List.
   2. Click and select the type of alarms to be viewed, as shown in Figure 4-283.
      Figure 4-283 Selecting the alarm type
      
   3. Click an alarm card in the alarm list to view the alarm in full screen mode, as shown in Figure 4-284.
      Figure 4-284 Viewing an alarm in full screen mode
      

      

      • By default, the alarm-triggered video is 10s long (5s before and 5s after the alarm time).
      • If you click , the alarm list on the left stops refreshing the latest alarms. If you click again, the system refreshes all new alarms generated after the alarm refresh stops.
   4. (Optional) Click on the Live page. The object classification page is displayed, as shown in Figure 4-285.
      Figure 4-285 Object classification page
      
   5. View object classification results, as shown in Figure 4-286.
      Figure 4-286 Viewing object classification results
      

      Table 4-258 describes the mandatory parameters.

      Table 4-258 Parameter description

      Parameter	Description
      Multi-pane Mode	Pane layout. 1-Pane Two-Pane 4-Pane
      Channel ID	ID of the camera for which the object classification has been configured. After this parameter is set, you can click Select camera to collapse the drop-down list box. For details about how to configure object classification, see Public Configurations.

3. View historical alarms.
   1. Right-click on the desktop and choose Retrieval.
   2. Choose Object Classification Retrieval.
   3. View alarms, as shown in Figure 4-287.
      Figure 4-287 Viewing alarms
      

Definition

This feature allows users to query object classification data generated by a specified camera in a specified time segment, including querying data generated in each hour of a specified day, on each day of a specified week or month, and in each month of a specified quarter or year.

Customer Benefits

Users can analyze the vehicle flows (motor vehicles and non-motorized vehicles) and people flows, providing data support for decision-making.

Application Scenario

This feature is applicable to scenarios where users need to collect statistics on motor vehicles, non-motorized vehicles, and pedestrians, for example, campuses.

Application Limitations

• Currently, this feature is not supported on the LDU.
• Data generated in the last year can be queried by day, data generated in the last two years can be queried by week or month, and data generated in the last five years can be queried by quarter or year.
• The statistics are generated upon object classification analysis on video. To generate object classification statistics, users can use intelligent cameras that support object classification, or use generic cameras and configure object classification tasks for these cameras on the server.
• The time of all connected cameras must be synchronized with that of the IVS1800.

Scenario Description

Table 4-259 describes the support for this feature in different client scenarios.

Prerequisites

The data statistics function has been enabled on the OMU portal. The procedure for enabling this function is as follows.

For an IVS1800-D that has been upgraded to 11.1.0 or a later version, the data statistics function is enabled by default.

1. Log in to the OMU portal as the admin user. ( Logging In to the OMU portal)
2. Enable the data statistics function.
   1. Choose System > Advanced Configuration.
   2. Select MCS from the Module drop-down list box and click Search.
   3. Set OpenStatistic to 1.

Procedure

1. On the iClient S100 home page, choose Intelligent Applications > Statistics > Object Classification Statistics.
2. Set search criteria and click OK. The object classification statistics result is displayed, as shown in Figure 4-288. Table 4-260 describes the parameters.
   Figure 4-288 Object Classification Statistics
   
   Table 4-260 Parameter description

   Parameter	Description
   Statistics Mode	Used to display statistical results by day, week, month, quarter, or year.
   Export	Used to export reports in different file formats. The options include EXCEL, PDF, and CSV.

Definition

The device searches the vehicle alert reference list or dynamic list for similar objects based on vehicle attributes.

Customer Benefits

This feature allows users to search for data using a small number of conditions, improving search efficiency.

Application Scenario

A user searches the dynamic list for vehicle information based on the features of the suspicious vehicle.

Requirements

Application Limitations

This function is used only for PoC outside the Chinese mainland.

Scenario Description

Table 4-261 describes the support for this feature in different client scenarios.

Scenario Description

• Table 4-262 describes the support for this feature in different client scenarios.

• After local intelligence is enabled or an analysis task is created for a camera, do not modify the attributes of the camera. Otherwise, target recognition and video structuring tasks will become invalid, and you will need to delete and recreate the tasks.

Prerequisites

• You have added vehicle records to vehicle lists.
• You have installed the video structuring algorithm plug-in package. The video structuring algorithm can extract structured data of persons, vehicles, and cyclists. For details about how to install the plug-in package, see the operations for loading an algorithm plug-in.

  The video structuring algorithm plug-in package varies depending on the device model. To check the device model, view the electronic label attached to the chassis or choose Local Configuration > Basic Configuration on the OMU portal.

• Image storage parameters have been set. The detailed procedure is as follows: On the iClient S100 home page, choose Maintenance Management > Video Device > Device List. Right-click an HWT-IVS1800, choose Storage Management from the shortcut menu, select the desired camera, and set image storage parameters.

(Optional) Creating a Video Structuring Task

1. On the iClient S100 home page, choose Maintenance Management > Video Device > Device List.
2. Right-click an HWT-IVS1800 and choose Task Management from the shortcut menu.
3. Click New Task.
4. Set video structuring global parameters, as shown in Figure 4-289.
   Figure 4-289 Setting video structuring global parameters
   

   Table 4-263 describes the parameters.

   Table 4-263 Parameter description

   Parameter	Description
   Camera	Select the camera for which you want to create an analysis task.
   Algorithm	Select an algorithm as required. Behavior analysis Target recognition Video structuring
   Video Type	Type of the video used for intelligent analysis. Select Live or Recording as required.
   Set Schedule	Set the time segment for executing the analysis task as required.

5. Configure the video structuring task, as shown in Figure 4-290.
   Figure 4-290 Configuring a video structuring task
   
   Table 4-264 Parameter description

   Parameter	Description
   Enable	Indicates whether to enable the current intelligent analysis task.
   Detection Area	Button for drawing a detection area. You can double-click the left mouse button to complete drawing. You can draw detection areas based on the following rules: You are advised to draw lines clockwise. The lines you draw cannot cross each other or form a sharp acute angle. Otherwise, detection areas may fail to be drawn. Do not draw polygonal areas that overlap with each other. Otherwise, false negatives may occur.

6. Click Save.

Procedure (on the LDU)

1. Log in to the LDU as the admin user. ( Logging In to the LDU)
2. Click in the upper left corner.
3. Choose Retrieval > Vehicle Retrieval.
4. Configure vehicle search, as shown in Figure 4-291.
   Figure 4-291 Configuring vehicle search
   

5. View the search results.
   The system can search for images that meet the search criteria. In the search results, you can double-click a small image to view the image details, and you can also preview the video clips corresponding to the search results in the lower left corner, as shown in Figure 4-292.

   Figure 4-292 Search results
   

Procedure (on the iClient S100)

1. On the iClient S100 home page, choose Basic Operations > Search > Vehicle Search.
2. Set vehicle search criteria, as shown in Figure 4-293.
   Figure 4-293 Setting vehicle search criteria
   

   Table 4-265 describes the key parameters. Set other parameters based on the site requirements.

   Table 4-265 Parameter description

   Parameter	Description
   License Plate	License plate characters of the vehicle to be searched for. (The value is case insensitive). Fuzzy search is supported, where the question mark (?) matches exactly one character, and the asterisk (*) matches zero or more characters.
   Unknown plate	Indicates whether enable the iClient S100 to search for vehicles without specific license plates. If you select this parameter, you cannot enter License Plate.
   Captured	Period in which vehicle images are captured.
   Source	Cameras that capture vehicles to be searched for. You can select multiple cameras connected to various HWT-IVS1800s.

3. Click Search. Then the iClient S100 searches for vehicles based on the set search criteria. Figure 4-294 shows the search result. The snapshot list contains vehicle images recognized by cameras and extracted by video structuring tasks.
   Figure 4-294 Vehicle search result
   

4. Optional: (Optional) To obtain more accurate search results, click More and set more search criteria. Figure 4-295 describes the search criteria in the More expanded area.
   Figure 4-295 Search criteria in the More expanded area
   

5. Select multiple vehicle images and click Export Selected to export the selected images. Alternatively, select Export This Page or Export All from the drop-down list box as required. Figure 4-296 shows the Export Options dialog box.
   

   You can enable the encrypted download function when exporting files. After this function is enabled, you need to enter the preset password when opening the file exported to the local computer.

   The password must meet the following requirements:

   • Contain 10 to 16 characters.
   • Contain at least two types of the following: lowercase letters, uppercase letters, digits, and special characters.
   • Be different from the user name or user name spelled backwards.
   • Contain no spaces or Chinese characters.
   • Be a strong password.
   Figure 4-296 Export Options dialog box
   

Definition

License plate alert tasks can be created based on the alert time segment. Alarms can be generated upon detecting matched license plates in real time, and alarm information can be processed and queried.

Customer Benefits

The system automatically recognizes vehicles, reducing labor costs, shortening service processing time, and enhancing service efficiency.

Application Scenario

A user deploys a vehicle alert task on each entrance and exit of a campus so that the system reports an alarm to the video and image management platform when it detects a vehicle in the vehicle alert reference list.

Requirements

Application Limitations

This function is used only for PoC outside the Chinese mainland.

Scenario Description

Table 4-266 describes the support for this feature in different client scenarios.

Scenario Description

Table 4-267 describes the support for this feature in different client scenarios.

Prerequisites

• The video resolution is within the range from 768 x 432 pixels to 4096 x 3000 (or 8,847,360) pixels. If the resolution is out of the range, no vehicle or license plate recognition result can be obtained on the iClient S100.
• The video structuring algorithm plug-in package has been installed. The video structuring algorithm can extract structured data of persons, vehicles, and cyclists. For details about how to install the plug-in package, see the operations for loading an algorithm plug-in.

  The video structuring algorithm plug-in package varies depending on the device model. To check the device model, view the electronic label attached to the chassis or choose Local Configuration > Basic Configuration on the OMU portal.

• A vehicle list has been configured. For details, see Vehicle Alert Reference List.
• Before performing vehicle alert on common cameras, ensure that video structuring tasks have been configured for the cameras. For details, see (Optional) Creating a Video Structuring Task.

Creating a Vehicle Alert Task

1. On the iClient S100 home page, choose Maintenance Management > Video Device > Device List.
2. Right-click an HWT-IVS1800 and choose Vehicle Alert.
3. Click New Alert.
4. Configure a vehicle alert task, as shown in Figure 4-297.
   Figure 4-297 Configuring a vehicle alert task
   

   Table 4-268 describes the parameters.

   Table 4-268 Parameter description

   Parameter	Description
   Name	Alert task name.
   Period	Time segment for executing a vehicle alert task. Select One Week, One Month, or One Year. Specify a period in the calendar. Click Set Hours to set the time segment for alert every day.
   Object	Vehicle list for alert. You can select multiple vehicle lists.
   Severity	Alert level. The options include Critical, Major, Minor, and Warning. The alert level is the same as the severity of alarms generated by the alert task.
   Alarm Type	Alarm type. When listed detected: An alarm is generated when a recognized vehicle matches a vehicle record in the lists specified by Object. When non-listed detected: An alarm is generated when a recognized vehicle does not match a vehicle record in the lists specified by Object.
   Scope	Alert scope. Click the text box under Scope and then select a maximum of 64 cameras from the camera list.

Definition

An alarm is generated when the camera detects a parking violation on a road.

• Allows users to specify multiple polygonal detection areas.
• Displays alarm information including the alarm type, occurrence time, duration, and object labeling.

Customer Benefits

The system automatically detects key information in video feeds through intelligent analysis, reducing labor costs and improving detection efficiency. Different intelligent analysis functions apply to different scenarios.

Application Scenario

This feature is applicable to scenarios, such as campus roads, where parking or long-time parking is not allowed.

Requirements

Application Limitations

• Onsite conditions such as illumination and shooting angles affect the detection accuracy.
• Currently, this feature is not supported on the iClient S100.

Scenario Description

Table 4-269 describes the support for this feature in different client scenarios.

Prerequisites

You have performed the operations in Enabling Vehicle Attribute Recognition (Based on Cameras). No special configuration is required.

Procedure (on the LDU)

To view the configuration guide video, you can click in the upper left corner on the Configuration tab page, and scan the QR code.

1. Log in to the LDU as the admin user. ( Logging In to the LDU)
2. Click in the upper left corner.
3. Choose Intelligent Application > Camera Intelligence > Vehicle Intelligence > Parking Violation Detection.
4. Configure parking violation detection, as shown in Figure 4-298.
   Figure 4-298 Configuring parking violation detection
   

   Table 4-270 describes the key parameters.

   Table 4-270 Parameter description

   Type	Parameter	Description
   Detection switch		Toggle on Parking Violation Detection. When a parking violation is detected, snapshot taking will be triggered. NOTE: Motor vehicle detection and object classification cannot be enabled at the same time.
   Detection area	No.	ID of a detection area. Only one detection area can be drawn.
   	Operation	Column containing the buttons for drawing or deleting a detection area on the video image.
   Alarm Settings	Detection Sensitivity	Detection sensitivity. The value ranges from 1 to 100. A larger value indicates a higher sensitivity.
   	Parking Violation Threshold	Vehicle stay duration threshold. An alarm is triggered only when the vehicle stay duration exceeds the value of this parameter.
   	Alarm Interval(s)	Interval at which alarms are checked.

5. Configure an alert plan, as shown in Figure 4-299.
   Figure 4-299 Configuring an alert plan
   

   Table 4-271 describes the key parameters and buttons.

   Table 4-271 Parameter/Button description

   Parameter/Button	Description
   Add	Button for adding an alert plan. A maximum of eight alert plans are supported.
   Delete All	Button for deleting all alert plans.
   	Button for enabling or disabling an alert plan. If you toggle on Status, the alert plan takes effect.
   Day	Date on which an alert plan is executed. The default value is Every Day.
   Mode	Mode in which an alert plan is executed. Weekly One-off

6. Configure an alarm linkage policy, as shown in Figure 4-300.
   Figure 4-300 Configuring an alarm linkage policy
   

   Table 4-272 describes the key parameters and buttons.

   Table 4-272 Parameter/Button description

   Type	Parameter	Description
   Common Linkage	Display ID	Indicates whether to display the status icon of the camera that triggers an alarm on the live video viewing page. This function is used to notify users of an alarm generated by the current camera.
   	Full-Screen Alarm	Indicates whether to display alarms in full screen mode. After this function is enabled, if a camera triggers an alarm and the live video viewing page is displayed on the LDU, the live video of the camera is played in full screen mode for 5s. CAUTION: If other alarms are generated when the live video is played in full-screen mode, the full-screen alarm function is not triggered.
   	Send Email	Indicates whether to send email notifications. After this function is enabled, the system sends an email to the configured email recipient when a service alarm is generated. You can click to customize the alarm email recipient and email body. The email address for sending service alarms needs to be customized on the OMU portal. For details about how to set the email address for sending service alarms, see How Do I Configure Connection to the SMTP Server?.
   Recording	Channel	Camera to be linked to record video when an alarm is triggered.
   	Duration(s)	Customized recording duration. The value ranges from 5 to 3600, in seconds. You are advised to set this parameter to a value greater than or equal to 60 (default).
   Triggered Snapshot	Channel	Camera to be linked to take snapshots when an alarm is triggered. NOTE: If both snapshot taking and email sending are configured for alarm linkage, you can obtain both the alarm-triggered snapshots and the snapshots sent in the email.
   Stop Recording	Channel	Camera to be linked to stop video recording when an alarm is triggered.
   I/O Alarm	Channel ID	Alarm reporting channel.
   	Duration(s)	Customized alarm linkage duration. The value ranges from 1 to 3600, in seconds. NOTE: If the specified alarm linkage duration is different from the I/O alarm output duration configured in How Do I Connect Cables and Configure Alarm Input and Output Ports?, the shorter alarm duration is used. For example, if the I/O alarm output duration is set to 20s and the alarm linkage duration is set to 30s, the actual alarm output duration is 20s.
   Invoke Preset Position	Channel	Camera to be linked. When a service alarm is generated, the linked camera rotates to the specified preset position. Before enabling preset position linkage, ensure that a preset position has been configured for the camera to be linked. For details about how to configure a preset position, see Feature Configuration.
   	Device	Name of the camera that is linked to a preset position.
   	Position	Preset position linked to the camera.

Procedure (on the iClient S100)

1. On the iClient S100 home page, choose Maintenance Management > Smart Configuration.
2. Select a camera connected to an HWT-IVS1800 and choose Vehicle Intelligence > Parking Violation Detection.
3. Enable parking violation detection, add a detection area, and set parameters, as shown in Figure 4-301. Table 4-273 describes the parameters and buttons.
   Figure 4-301 Configuring parking violation detection
   
   Table 4-273 Parameter/Button description

   Parameter/Button	Description
   Parking Violation Detection	Indicates whether to enable parking violation detection.
   Sensitivity	Detection sensitivity. The value ranges from 1 to 100. A larger value indicates higher sensitivity.
   Parking Violation Threshold(s)	Vehicle stay duration threshold. An alarm is triggered only when the vehicle stay duration exceeds the value of this parameter.
   Alarm Detection Interval(s)	Interval at which alarms are checked.
   Area	Button for adding a detection area. You can draw a maximum of four detection areas.
   Delete	Button for deleting a selected detection area.

4. Click Save.

Procedure (on the LDU)

1. Log in to the LDU as the admin user. ( Logging In to the LDU)
2. View real-time alarms.
   1. Right-click on the desktop and choose Live > Alarm List.
   2. Click and select the type of alarms to be viewed, as shown in Figure 4-302.
      Figure 4-302 Selecting the alarm type
      
   3. Click an alarm card in the alarm list to view the alarm in full screen mode, as shown in Figure 4-303.
      Figure 4-303 Viewing an alarm in full screen mode
      
      

      • By default, the alarm-triggered video is 10s long (5s before and 5s after the alarm time).
      • If you click , the alarm list on the left stops refreshing the latest alarms. If you click again, the system refreshes all new alarms generated after the alarm refresh stops.

3. View historical alarms.
   1. Right-click on the desktop and choose Retrieval.
   2. Choose Event Retrieval.
   3. View alarms, as shown in Figure 4-304.

      You can click the Browsing Status icon to switch the alarm browsing mode. Alarms in the alarm center can be browsed in card or list mode.

      Figure 4-304 Viewing alarms
      

Procedure (on the iClient S100)

For details about how to view the latest or historical alarms, see Viewing Alarms (on the iClient S100).