Deepomatic Platform
  • Overview
  • Release notes
    • January 2025
    • November 21, 2024
    • October 17, 2024
    • September 19, 2024
    • July 18, 2024
    • June 27, 2024
    • May 23, 2024
    • April 18, 2024
    • March 21, 2024
    • February 22, 2024
    • January 18, 2024
    • December 13, 2023
    • October 26, 2023
    • July 20, 2023
    • June 29, 2023
    • May 29, 2023
    • April 27, 2023
    • March 30, 2023
    • February 17, 2023
    • January 19, 2023
    • December 22, 2022
    • November 18, 2022
    • October 19, 2022
    • September 19, 2022
    • July 27, 2022
    • June 26, 2022
    • May 17, 2022
    • April 13, 2022
    • March 17, 2022
    • February 10, 2022
    • December 21, 2021
    • October 26, 2021
  • Getting started
  • ADMIN & USER MANAGEMENT
    • Invite and manage users
      • Invite group of users at once
      • SSO
        • Azure Active Directory
  • Deepomatic Engage
    • Integrate applications
      • Deepomatic vocabulary
      • Deepomatic connectors
        • Set-up
        • Camera Connector
        • Work Order Connector
      • API integration
        • Authentication
        • Errors
        • API reference
          • Work order management
          • Analysis
            • Guide field workers
            • Perform an analysis
            • Correct an analysis
          • Data retrieval
          • Endpoints' list
      • Batch processing
        • Format
        • Naming conventions
        • Processing
        • Batch status & errors
      • Data export
    • Use the mobile application
      • Configure a mobile application
      • Create & visualize work orders
      • Complete work orders
      • Offline experience
    • Manage your business operations with customisable solutions
      • Roles
      • Alerting
      • Field services
        • Reviewing work orders
        • Exploring work orders
        • Grouping work orders
        • Monitoring assets performance
      • Insights
  • Security
    • Security
    • Data Protection
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  1. Deepomatic Engage
  2. Integrate applications
  3. Batch processing

Format

To use batch processing, it is necessary to respect a specific archive format.

The archive should implement the following tree structure with one folder per work order. All images and files containing metadata and parameters for each work order should then be stored within each of these folders.

.
├── WO_123456/
│   ├── metadata.json
│   ├── task_group_name_A-0.jpg
│   ├── task_group_name_A-1.jpg
│   ├── task_group_name_B-2.jpg
│   ├── ...
│   └── task_group_name_X-8.jpg
├── WO_789123/
│   ├── metadata.json
│   ├── task_group_name_A-2.jpg
│   ├── task_group_name_B-0.jpg
│   ├── task_group_name_B-1.jpg
│   ├── ...
│   └── task_group_name_X-67.jpg
│
├── ...
│
└── WO_456789/
    ├── metadata.json
    ├── task_group_name_A.jpg
    ├── task_group_name_B-0.jpg
    ├── task_group_name_B-1.jpg
    ├── ...
    └── task_group_name_X.jpg

Only JPEG, JPG and PNG images are accepted.

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