VisionAI Observ
DataVerse
English
English
  • Your Observ Journey
  • Tech Specification
    • Technical Specifications
  • Overview
    • Creating Your First AI Detection Task
    • Managing and Monitoring Detection Tasks
    • Event Records
    • Task Settings
    • AI Detection Streaming
    • Notifications
    • AI Detection Range (ROI)
    • Event Zones (Edit Zone)
    • AI Confidence Score
    • Event Parameters
    • Collecting AI Data
    • Location and Cameras
    • Event Records
    • Event Statistical Analysis
    • Organizations and Users
    • Personal Settings
  • Advance Feature
    • System Settings
    • Exporting Data to DataVerse
    • Managing AI Models
    • Customizing Scenarios
    • Batch Create, Edit, Download
    • Custom Detection Events (Beta)
      • (Event Component) Object Card
      • (Event Component) Area Card
      • (Event Component) Logic Gate
        • Logic Gate: With
        • Logic Gate: Overlap
        • Logic Gate: OR
        • Logic Gate: NOT
        • Logic Gate: AND
        • Logic Gate: Object Tag
        • Logic Gate: Counting
      • (Event Component) Trigger Card
    • Video Task (Beta)
    • Smart Traffic Task (Beta)
    • VLM Playground (Beta)
    • VLM Event-Based Detection (Beta)
  • AI Detection Scenarios
    • Virtual Fencing
    • Smoke and Fire Detection
    • PPE Compliance
    • Pathway Blockage Detection
    • Corrosion Damage Detection
    • Pedestrian and Vehicle Counting
    • Illegal Parking Detection
    • Lane Violation Detection
    • Vehicle Breakdown Detection
    • Customer Counting
    • Queue Monitoring
    • New-PPE and Equipment Compliance
    • Presence and Behavior Monitoring
    • Traffic Violation and Abnormal Behavior Detection
    • Traffic Flow Analysis
    • People Flow and Behavioral Analysis
    • Fire and Smoke Monitoring
    • Water and Pipeline Issues
    • Facility and Access Status
  • API Document
    • API Configuration
    • Event
    • Task
    • Camera
    • Location
    • Organization
    • Compute Target
  • Support
    • Troubleshooting
      • No Image Display Issues
      • AI Detection Issues
      • No Events Detected?
      • Slow or Laggy Live Stream
    • FAQ
  • Observ usage
    • Usage and Billing
  • updates
    • Updates and Release Information
      • Realease 2025/4/10
      • Realease 2025/1/8
      • Release 2024/11/12
      • Release 2024/09/18
      • Release 2024/08/06
      • Release 2024/05/13
Powered by GitBook
On this page
  • Quick Start
  • Letting the System Automatically Collect Camera Images
  1. Overview

Collecting AI Data

The VisionAI Observ system can automatically collect AI data. It captures images from your daily task cameras, preparing for future AI model training.

PreviousEvent ParametersNextLocation and Cameras

Quick Start

Learn how to automatically save images based on AI object threshold values, preserving valuable resources for future training.

Click on the video below for a quick overview:

Letting the System Automatically Collect Camera Images

The system automatically collects images from the camera stream, providing data needed for future AI training.

After entering the task page, click 'System Settings' to enter the system settings window. Under the 'Image Collection' tab, view the current conditions for collecting images, including:

  • Confidence Condition 'Confidence Threshold': Set this field to automatically save images when the AI-detected object's confidence score falls within this range. The system can set the storage range for different object categories.

  • Set Interval Time 'Snapshot Interval' to determine how long to wait before saving the next image. Storing images intensively can accumulate a large number of similar photos, which does not help in obtaining diverse data for AI training. It is recommended to save at least once every 5 minutes.

  • For cameras running 24/7, they may store a large number of similar images. Setting a maximum collection number 'Max Collection' can reduce the similarity of pictures captured from the same camera task.

  • Add tags to your images. In 'Image Tag', add one or more tags to help you quickly find them when searching for AI training data images in the future.

Click 'Save' to apply the new settings.