Industrial vision camera inspecting an automotive component with a PASS result on the station display
Manufacturing · Edge AI Vision

AI-Powered Component Inspection & Digital Traceability

Turn repetitive manual inspection into an intelligent, traceable and automated quality workflow.

Mimasa AI connects industrial vision, edge AI, workflows and enterprise intelligence — without replacing your MES, PLM, ERP or shop-floor systems.

The Problem

Thousands Of Manual Decisions Every Shift

Take batch-code verification on an automotive component. The operator has to locate the code, read it, compare it with the expected code, decide PASS or FAIL, mark the component and continue production.

Human reading errors and operator fatigue
Incorrect batch verification
Reinspection without traceability
Inflated inspection counts
Limited evidence during quality disputes
Manual reporting and poor plant visibility

A camera alone does not solve this. The system must know which physical component is being inspected, what should be on it, what the AI saw, how many times it was checked and what happened next.

How It Works

From Component Identity To Plant-Wide Visibility

Eight steps that turn one inspection at one station into enterprise-grade quality evidence.

01

Identify The Component

An NFC identity is linked to the physical component before the operation. One component, one digital identity.

02

Control The Process

The identity is validated before the station is enabled, so unidentified components never enter the workflow.

03

Capture

An industrial camera captures the inspection image under controlled, repeatable lighting.

04

Inspect Locally

The Edge Inspection Application runs the AI vision model on site. It reads, validates, compares and decides.

05

Give A Simple Decision

The station shows PASS, FAIL or NOT READABLE. Operators act on a decision, not on a model output.

06

Preserve Every Attempt

Every retry is retained against the same component identity, so quality can trace the full story.

07

Build The Digital Record

Identity, expected and detected code, result, image evidence, station, shift, operator, attempts and disposition.

08

Share Across The Plant

The Cloud Inspection App gives authorised users live dashboards, trends, images and reports on browser and mobile.

Traceability

One Component. One Identity. Complete History.

Say 500 tanks are manufactured and 50 fail their first inspection. Those 50 are inspected three times each. A system counting camera events would report 600 inspections and inflate the production number.

Mimasa AI keeps the distinction: 500 unique tanks and 600 inspection attempts. Management sees the correct production figure. Quality can still investigate every retry.

The Digital Inspection Record

Component identity
Batch code and expected code
Detected code
Inspection result
Image evidence
Date, time and shift
Machine or station
Operator
Number of attempts
Final disposition
Integration

Built For The Shop Floor. Connected To The Enterprise.

Mimasa AI operates as an intelligence layer around the systems you already run.

MES

Production orders, machines, routing, quantities and shifts.

PLM

Product specifications, revisions and engineering context.

ERP

Material, batch, supplier and order information.

QMS

Inspection plans, non-conformance and quality processes.

PLC & Machines

Actual shop-floor events and machine results.

Mimasa AI

Inspection intelligence, agents, evidence, dashboards and automation.

Beyond Batch Codes

One Foundation, Many Inspection Use Cases

The same inspection foundation extends across the plant.

Batch Code Verification

Read and validate punched or printed codes.

Barcode / QR Verification

Read and validate component identity.

Label Inspection

Check correct label, content, position and presence.

Presence / Absence

Detect missing components or assemblies.

Assembly Verification

Verify required components are installed.

Machine Result Assurance

Capture and act on machine PASS/FAIL results.

Leak-Test Assurance

Connect test result, evidence, alerts and traceability.

Surface Inspection

AI-assisted scratch and dent detection where imaging allows.

Operator Adherence

Monitor configured operator and process compliance.

Quality Traceability

Maintain component-level inspection history.

Not every inspection problem should be solved with AI vision. Precision metrology, microscopic dimensional inspection and certain safety-critical deterministic measurements still need specialised systems. Mimasa AI focuses where AI, automation and traceability create measurable advantage.

Why Mimasa AI

Inspection Intelligence, Not Another Silo

Edge + Cloud

Inspection happens locally in real time. Enterprise visibility happens in the cloud.

Works With Existing Systems

Build on your current machines, PLCs, MES, PLM and ERP instead of starting over.

Complete Traceability

Every physical component gets a searchable digital inspection history.

Agentic Workflows

Results can trigger alerts, reports, escalations and downstream actions on their own.

Enterprise Intelligence

Plant and quality teams can interrogate inspection data in plain language.

Reusable Foundation

Add new inspection and automation workflows to the same Mimasa environment.

Show components requiring more than one inspection yesterday.

Which shift has the highest first-pass failure rate?

Show me the inspection evidence for Tank 005128.

Enterprise AI Without Enterprise-Sized Entry Costs

Traditional industrial digitisation asks for a large upfront software investment before value is proven. Mimasa AI takes a different route.

For suitable use cases, combine the required shop-floor hardware, the Mimasa platform and pay-as-you-go AI inspection instead of buying another isolated inspection stack.

Batch-code inspection can be priced per unique component inspected — not per AI call, retry or internal workflow.

Start With One Inspection Problem

You do not need to transform the factory on day one. Start with one component, one station and one measurable inspection problem.

Accuracy
Traceability
Operator usability
Response time
Economics
Quality improvement

From one inspection workflow to an intelligent factory.

FAQ

Frequently Asked Questions

Common questions about edge inspection, component identity, integration and pricing.

Make Every Component Traceable

Prove accuracy, traceability and economics on one station — then scale the same foundation across machines, lines and plants.