How a Visual Inspection System Is Customised in Four Testing Stages

A visual inspection system is built from five parts: lighting, lens, camera, image acquisition and computing hardware. Machine vision products convert the captured target into an image signal, which a dedicated image processing system turns into a digital signal based on pixel distribution, brightness and colour. The system extracts features of the target and controls on-site equipment actions based on the result.

Customisation begins with your requirements. Application type: the product testing standards, external dimensions and other factors affecting testing, assessed for feasibility. Stage requirements: the inspection efficiency you need, quantified as time per step. Accuracy requirement: the precision of defect detection. Installation space: whether the on-site environment constrains the equipment.

Conceptual design follows. Requirement analysis organises the key requirements and tests their feasibility. Hardware design selects the platform, camera, lens and light source. Software design decides between third-party vision software and independently developed processing software. Feasibility verification sets up the environment, customises the interaction interface and runs preliminary testing.

Then four testing stages. Software testing verifies process correctness and application logic and finds vulnerabilities. Hardware testing covers ageing, compatibility and failure rate against the environment. Joint debugging verifies electrical and software communication logic, light source and camera triggering, and result statistics. Model testing evaluates the model's functional performance and indicator results. Algorithm deployment then runs through the cloud platform: collect defect sample images, upload, store, select, annotate, train, test, optimise and apply.