Diamond IPC || How to Set Face Recognition (WEB 5.0) ||

Diamond IPC || How to Set Face Recognition (WEB 5.0) ||

How to Set Face Recognition (WEB 5.0)


This knowledge base article provides detailed instructions on setting up the Face Recognition function for devices using the WEB 5.0 firmware. Face Recognition is essential for identifying and comparing facial images to a database, enabling enhanced security and access control.

The Face Recognition function is designed to compare detected faces against a pre-configured database, triggering alarms or actions based on the comparison results. This is crucial for applications such as security monitoring, access control, and attendance tracking. By accurately identifying individuals, it enhances security, prevents unauthorized access, and streamlines management processes.

 

Steps to Set Face Recognition
 

Face Recognition: When a face is detected in the area, the system compares the captured face image with the information in the face database and links the alarm according to the comparison result.

 

Step 1: Login to your device.

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Step 2: Select AI on the Homepage.

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Step 3: Smart Plan > Face Recognition > Next.

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Step 4: Select the detection mode:

  • General Mode: When a face is detected in the detection area, the system performs alarm linkage, such as recording and sending emails.
  • Counting Mode: Allows precise face counting with two default function databases (all people database and exclude people database).


Step 5: Click next to Enable to activate the face detection function

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Step 6: Draw detection areas, exclusion areas, and filter targets in the image as needed.
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Step 7: Configure Parameters
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Parameter Descriptions:
  • OSD Info: Displays the number of detected faces on the Live page.
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  • Face Enhancement: Guarantees clear faces with low stream.
  • Non-living Filtering: Filters non-living faces such as pictures.
  • Target Box Overlay: Adds a bounding box to highlight faces in captured images.
  • Remove Duplicate Faces: Displays duplicate faces only once during the configured period.
  • Face Cutout: Sets the range for captured face images, including face, one-inch picture, and custom.
  • Snapshot Mode: Choose between Optimized Snapshot and Recognition Priority modes.
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    • Optimized Snapshot: Captures the clearest image within the configured time after the camera detects a face.
    • Recognition Priority: Continuously compares the captured face to those in the armed face database, capturing the most similar face image and sending the event. This mode is recommended for use in access control scenarios.
  • Face Beautifying: Adjusts the level to make face details clearer, especially at night.
  • Face Exposure: Enhances brightness to make the face image clear.
  • Face Target Brightness: Sets the target brightness for faces.
  • Face Exposure Detection Interval: Prevents image flickering by setting an interval for face exposure detection.
  • Privacy Protection: Blurs faces detected by mosaic.
  • Advanced Settings: Configure snapshot angle filter, sensitivity, and optimized time.
  • Snapshot Angle Filter: Set the angle range for face detection snapshots to be filtered.
  • Snapshot Sensitivity: Adjust the sensitivity level for face detection snapshots. Higher sensitivity makes face detection easier.
  • Optimized Time: Define a period for capturing the clearest image after the camera detects a face.

Step 8: Click Face Database Config on the Face Recognition page to configure the face database for comparison.
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Step 9: Click Add and set the name of the database. Click OK to create the database.
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Step 10: Manage the face database, including adding, editing, and deleting faces.
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Step 11: Click Arming Alarm to configure alarm parameters. 
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Step 12: Click to manage the face database. You can search for faces, register new ones, batch register, perform modeling on all, model individually, and delete faces.
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Step 13: Delete database.
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Add Face Picture: Supports single adding and batch importing.
  • Face Picture Requirements: Size 50K–150K in JPEG format, resolution less than 1080p, face size 30%–60% of the whole picture, pixel no less than 100 pixels between the ears.
Step 14: Face Database Config > Details >Register
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Step 15: Click Upload, select a face picture, and click Confirm.
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Step 16: Upload and register face pictures.
  • Enter information about the face picture as needed and click Add to task list.
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Step 17: Verify everything was stored. Task List > Operation 
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Step 18: Batch Importing (optional)

  • Prepare Pictures: Before importing pictures in batches, ensure that the face pictures are named according to the prompted format.

  • Import Process:

    • Go to Face Database Config > Details > Batch Register.
    • Click Select Picture and choose the storage path of the file.
    • Click Import to upload the face pictures.
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Face Modeling

Face modeling is the process of creating a digital representation of a person's face using advanced algorithms to capture features like contours, shapes, and textures. This digital model is used in facial recognition systems, animation, medical applications, virtual reality, and photography to ensure accuracy and detail for various practical and creative purposes.

Step 19: Face Modeling

When the modeling status shows "Valid" in the list or is displayed at the lower-left corner of the thumbnail, it indicates that the modeling was successful.
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Handling Modeling Failures

When the modeling status shows "Invalid" in the list or is displayed at the lower-left corner of the thumbnail, it indicates that the modeling failed. Hover over the modeling status in the list to view the details of the failure. Adjust the pictures according to these details and try again.

Additional Support

For further assistance or inquiries, please contact our tech support at:
Phone: (888) 397-1999