Vision Inspection: AI-Driven Quality Checks on the Shop Floor

Camera-based wiring checks, with every result captured.

Shipping a product with wires in the wrong place leads to unhappy customers, rework and delays. Manual inspection alone is not 100% effective at catching these errors.

Vision Inspection is DigiBull AI’s camera and software based automated optical inspection (AOI) for cable and wire harness assembly. It started with wiring mismatch detection for our client Innotech: checking that wires are connected in the right positions and colours, and showing the operator a clear Good Wiring or Bad Wiring result.

Inspection results are captured automatically for evaluation, so quality teams have a record to work from.

What Is Vision Inspection?

Vision Inspection is a vision algorithm trained on photos of real cables from your shop floor, each labelled as good wiring or bad wiring. A camera at the inspection station captures the cable, and the software shows the operator Good Wiring (green) or Bad Wiring (red).

It is built to support operators, not replace them. The system is not 100% accurate, though that is the aim, so basic human inspection at final inspection is recommended, at least initially.

The Inspection Problems It Addresses

Wiring mismatches that reach the customer cause dissatisfaction and loss of trust, rework that takes more people and time than planned, and delays. Manual inspection is not fully effective at catching them.

Vision Inspection checks each cable at the inspection station, in the testing stage, so operators get feedback immediately and can act on it. It also reduces the quality team’s inspection workload.

It needs minimal operator training because the interface is simple.

What Vision Inspection Looks For

Wiring defects the first version is built to catch:

Wire Interchange
Wire Colour Mismatch
Positional Defects
Wire Length and Damaged Wires (planned)

How Vision Inspection Works: From Photo to Decision

The first deployment, on a cable assembly line, followed these steps.

1. Build the reference set

Photos of existing cables from the shop floor are labelled as good wiring or bad wiring. These photos are used to train the tool.

2. Capture at the inspection station

A camera captures the cable after the wiring and crimping stage. The camera is connected to a desktop that runs the software. A fixed jig and a fixed camera angle and height keep the positioning consistent.

3. Show the result

The software marks the cable as Good Wiring (green) or Bad Wiring (red). The wires need to fall within the on-screen bounding box. Users sign in with their own logins.

4. Capture the data

Results are captured automatically for evaluation. AOI is part of the testing stage, so it fits into the operator’s normal flow.

Limits and Good Practice

The system is not foolproof and not 100% accurate, though that is the aim.

Lighting variations affect colour accuracy. The camera needs to be stable, with a fixed jig and mounting and a fixed camera angle and height, so that wires fall within the bounding box.

At least initially, keep basic human inspection as part of final inspection before the product is packed and sent to the customer. Train the system on anomalies and edge cases as they appear.

Who Vision Inspection Is Built For

Vision Inspection is built for cable and wire harness assembly teams who want a consistent check at the inspection station. It suits quality, production and engineering teams.

A practical start is one product and the wiring defects that cost you most. Photograph existing cables, label them good and bad, train the tool, and set it up at your inspection station.

Why DigiBull AI for Vision Inspection

Vision Inspection is running today on the cable assembly shop floor of our client, Innotech. Planned next steps include training the tool on more anomalies and edge cases, and extending AOI to other assembly stations that are prone to problems.

See also our process traceability solution, our manufacturing solutions and our guide to how automated optical inspection finds manufacturing defects.

Frequently Asked Questions

Vision Inspection is DigiBull AI’s automated optical inspection (AOI) for assemblies: a camera plus vision software that checks what it sees. The first version checks wiring mismatches in cable assemblies.
The first version detects wiring mismatches, meaning interchanged wires and colour discrepancies, and positional defects. Detecting wire length and damaged wires is a planned extension.
Not yet. The system is not 100% accurate, though that is the aim. At least initially, keep basic human inspection at final inspection before the product is packed.
A camera connected to a desktop that runs the software (the first deployment uses a webcam), plus a fixed jig and camera mounting, and steady lighting. Lighting changes affect colour accuracy.
Tell us which wiring defects you want to catch. We photograph existing cables on your line, label them good and bad, train the tool and set it up at your inspection station. Talk to a consultant to discuss your line.

Want More Consistent Visual Inspection?

Start with one product and the wiring defects that cost you most.

Connect with a DigiBull AI consultant to discuss how Vision Inspection fits your production line.