A control room operating industrial AI devices across multiple monitors

VISION AI

VisionOps

Edge deployment, model operations and continual learning — Manages device, recipe, model and deployment versions so approved releases, rollback and performance review can be operated consistently.

P0 · concept validation
01

Maintain visibility of device, recipe and model versions

02

Separate approval, deployment and rollback responsibilities

03

Create an operating feedback loop for error samples and drift

COMPONENTS

Components

  • Device registry
  • Model and recipe registry
  • Deployment policy
  • Monitoring and rollback

INTEGRATION

Integration

  • Industrial edge nodes
  • Quality database
  • Identity and access management
  • Ticketing system

DELIVERABLES

Deliverables

  • Deployment policy
  • Device and model asset inventory
  • Recovery procedure
  • Operations report template

VALIDATION ITEMS

What must be validated before specifications

Performance, specifications and schedule are confirmed only after validating the actual samples and site conditions.

  1. 01Target device count
  2. 02Network segmentation
  3. 03Approval authority
  4. 04Log retention
  5. 05Update window

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VisionOps

Validate feasibility with actual samples and site conditions

Product status and specifications are stated in the proposal based on validation and supply conditions.

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