Monitoring Dashboard

The DaoAI Heaven’s Eye system provides a unified monitoring dashboard interface, integrating core modules such as performance overview, event alerts, live video feeds, face recognition library, and device management. It helps users quickly understand site operations and perform efficient maintenance.

Section 1: Performance Overview

Feature Description

The performance page provides system administrators with a global view of alert statistics, resource usage, and workflow popularity—useful for troubleshooting and trend analysis.

Monitoring Dashboard Interface

Figure 1: DaoAI Heaven’s Eye System Dashboard Overview

Functional Areas

  • Total Alerts: Total number of intelligent analysis alerts triggered by the system.

  • Alert Trend Chart: View alert curves by “Today,” “Last 7 Days,” “Last 14 Days,” or “Last Month.”

  • Live Event Preview: - Alert snapshots (multi-frame burst) - Event time, camera ID, alert type (e.g., not wearing safety helmet)

  • Top Workflows: - Displays the most frequently triggered models (e.g., facedetected, helmet detection)

  • System Resource Monitoring: - CPU usage - Memory/GPU memory usage - Disk usage

Helpful Tips

  • If alerts are triggered too frequently, check your deployment or adjust model sensitivity.

  • If resource usage exceeds 85%, consider scaling out or redistributing tasks.

Section 2: Live Video

Feature Description

This module supports viewing real-time video streams from deployed cameras for field review, event confirmation, and demonstrations.

Real-Time Video Preview

Figure 2: DaoAI Heaven’s Eye System Real-Time Preview Page

Operation Steps

  1. Open the bottom navigation bar and click Live Video

  2. Click the blank area and select Choose a camera

  3. Use the dropdown menu to switch between different devices for preview

Notes

  • Real-time video is displayed with low latency; if playback is choppy, check your network and system resource usage.

  • Supports up to four simultaneous camera views per page. For more, use a professional client or video wall module.

Section 3: Camera Device Management

Feature Description

This module displays all connected camera devices and supports basic operations such as enabling/disabling and renaming.

Camera Device Management

Figure 3: DaoAI Heaven’s Eye System Device Management Page

Key Fields

  • Camera Name

  • Camera ID (used for event tracking)

  • Status Indicator: - Blue = Active/Streaming - Gray = Inactive/Disabled

User Guide

  • Use the toggle button to quickly enable or disable cameras

Section 4: Face Recognition Library

Feature Description

The DaoAI Heaven’s Eye system supports recording employee photos through the “Face Recognition Library” module. It extracts facial feature vectors for identity verification, attendance tracking, access control, and other use cases in workflows.

Face Recognition Library

Figure 4: DaoAI Heaven’s Eye System – Face Recognition Library Overview

Register New Profile

Click Face Recognition in the left menu to access the face library management module. Click Register New Profile to open the registration interface:

Field Descriptions

  • Name/ID (Required): Enter a unique identifier for the employee (e.g., name, employee ID)

  • Notes (Optional): Used to describe team, role, etc.

  • Photo (Required): Supports the following image upload methods:

    1. Drag and drop a face image into the upload box

    2. Click Select File to upload from your local computer

    3. Or click Use Camera to take a photo using a USB camera

Photo Requirements

To ensure accurate recognition, the uploaded photo must meet the following standards:

Image Quality

  • Must be clear and in focus; no blurriness

  • Supports both color and grayscale images

  • Background must be clean, without glare or shadows

  • Avoid direct sunlight or backlighting; ensure good contrast between face and background

  • Face should be directly facing the camera, showing full facial features

Important Notes

  • Each user only needs to register once; the system will automatically extract and store the facial feature vector

  • Using a high-definition camera is recommended to improve recognition accuracy

  • To delete a registered user, return to the face library main page and click the user’s avatar to manage their record

Section 5: Device Deployment Status

Under Deployment > Camera Devices, you can view the following for each camera:

  • Status (Running / Stopped)

  • Assigned Workflow

  • Video Stream URL

  • Alert Notification Interval

  • ROI (Region of Interest) settings and preview

Section 6: Common Issues and Recommendations

  • Real-time video not displaying?

    Check RTSP configuration, network connectivity, and camera power supply.

  • Too many alerts?

    Adjust model sensitivity or narrow the region of interest.

  • Model not responding after deployment?

    Check if the container is running and if the workflow is properly configured and assigned to the device.

  • Resource usage too high?

    Distribute tasks more efficiently or consider expanding server capacity.