A resource pool can be created based on the target information about a certain number of persons and the information can be managed by attribute (such as the gender) group.
The system automatically performs target alert and target search, reducing labor costs, shortening service processing time, and enhancing service efficiency.
Campus management personnel create a target list to identify the entry and exit of external persons.
NE |
Version Requirement |
License Requirement |
Function |
|---|---|---|---|
HWT-IVS1800-D /HWT-IVS1800-E |
11.1.0 and later versions |
N/A |
Provides the target list function. |
None
Client |
Feature Support |
Reference |
|---|---|---|
LDU |
Supported |
For details, see Procedure (on the LDU). |
iClient S100 |
Supported |
For details, see Procedure (on the iClient S100). |
For details, see Public Configurations.
To check the file system of a removable disk, perform the following steps:
Naming Element |
Description |
|---|---|
Name |
|
ID number |
|
ID type |
|
Gender |
|
Nationality |
|
Occupation |
|
Image format: Only .bmp, .dib, .jpe, .jpeg, .jpg, and .png images are supported.
Image size: The recommended image size is 35 KB to 200 KB. The size of a single image cannot exceed 720 KB.
Image quality: The target in the image must be clear. The image must be a grayscale image of eight bits or more.
Resolution: The recommended target resolution ranges from 80 x 80 to 200 x 200 pixels. The eye spacing must be greater than or equal to 60 pixels, ideally 90 pixels or more.
Brightness and contrast: The ambient illumination must be at least 300 lux. Use diffuse lighting for the best effect. The contrast should be moderate, and the face should not be shadowed. Avoid backlight and light reflection, and use a moderate exposure.
Posture: proper posture; look straight ahead; angle range: –10° to +10° (for yaw angles, pitch angles, and roll angles)
Occlusion: features (such as eyebrows, eyes, mouths, and noses): not covered by objects such as hair, masks, accessories, or glasses; glass lens: clear, colorless, and non-reflective (for the best effect)
Face: completely captured, well-defined, unretouched, and with light or no makeup
Countenance: neutral expression with eyes open and natural mouth gestures
List Type |
Application Scenario |
|---|---|
Blocklist |
Used in scenarios such as swing gates, security gates, and straight-through pedestrian walkways. The system generates an alarm once a blocklisted target is detected. |
Trustlist |
Used in scenarios such as swing gates and security gates. The system generates an alarm once a trustlisted target is detected. |
Logging In to the LDU)Table 4-279 describes the parameters.
Table 4-280 describes the parameters.
Table 4-281 describes the parameters.
Parameter |
Setting |
|---|---|
Target Image Path |
Select a target image stored on the hard disk. |
Name |
Set these parameters based on the site requirements. |
Gender |
|
ID Type |
Set these parameters based on the site requirements. |
ID Number |
|
Nationality |
Set these parameters based on the site requirements. |
Occupation |
|
Description |
Enter target description as required to identify the target. |
Logging In to the LDU)Assume that the current HWT-IVS1800 whose service specification is 4-channel target recognition at most, has been executing 4-channel target recognition tasks, if you add target records to the target list in this case, computing power is insufficient for extracting target features, causing feature extraction failure. In this scenario, you are advised to stop one channel of target recognition task and then extract target features. After target features are extracted, restart the target recognition task.
Service specifications vary depending on device models. For details, see Product Specifications.
A resource pool can be created based on the license plate information about a certain number of vehicles and the information can be managed by attribute (such as the province) group.
The system automatically performs vehicle alert and vehicle search, reducing labor costs, shortening service processing time, and enhancing service efficiency.
Campus management personnel create a vehicle alert reference list to identify the entry and exit of external vehicles.
NE |
Version Requirement |
License Requirement |
Function |
|---|---|---|---|
HWT-IVS1800-D /HWT-IVS1800-E |
11.1.0 and later versions |
N/A |
Provides the vehicle alert reference list function. |
None
You can use either of the following methods to add vehicle records to a vehicle blocklist: Adding Vehicle Records One by One and Importing Vehicle Records in Batches.
Method |
Application Scenario |
|---|---|
Through the Vehicle Library page |
You can directly add records of a vehicle whose image and information are available on the Vehicle Library page. |
Using the vehicle search result |
During vehicle search, if you want to add a vehicle in the search result to a vehicle list, view the vehicle details and add a vehicle image to the vehicle list. |
and upload a vehicle image. In the dialog box that is displayed, frame the vehicle, and click OK.
You can upload images in JPG, JPEG, JPE, DIB, BMP, and PNG formats. The maximum size of a single image is 5 MB.
If you click Download Template (No Image), you cannot fill in vehicle images in the downloaded template. Download either template based on the site requirements.
next to the text box of Import file, select the local .csv file, and upload the file.
next to the text box of Import file and select the folder where vehicle images to be uploaded are stored.
next to the text box of Import file and select the folder where vehicle images to be uploaded are stored.
You can upload images in JPG, JPEG, JPE, DIB, BMP, and PNG formats. The maximum size of a single image is 5 MB.
to search for vehicle records.