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Before adopting AI vision inspection, manufacturers should first review whether the inspection target and defect areas can be captured consistently, whether there is sufficient space for cameras and lighting, and whether defect criteria are clearly defined. It is also important to evaluate whether the solution provider can analyze the product, defect characteristics, and production environment to design an inspection method suited to the actual process.

REVOT supported in-house AI adoption for a manufacturing company by conducting a three-day generative AI training program for its executives and employees. Following the training, the company formed an AI adoption task force and decided to implement an in-house LLM system while advancing its DX and AX initiatives. The related implementation process is currently underway.

If you are unsure how to prepare before introducing AI vision inspection, review this implementation checklist to organize your production process and inspection conditions before consulting with a solution provider.

REVOT participated as one of a select number of exhibitors at a parent company’s partner event attended by approximately 120 companies, where it showcased its latest technologies.