[AI Implementation Case] Product Appearance Inspection System at Company A's Niigata Factory in the Manufacturing Industry
Achieving improved inspection speed and labor savings! A 27.8% reduction in man-hours is expected compared to conventional methods.
At Company A's Niigata factory, visual inspections of product appearance (determining pass/fail and identifying defects) are conducted manually, which is a time-consuming and labor-intensive task. Improving productivity and quality in this visual inspection process and streamlining the inspection is an urgent issue that needs to be addressed. A machine learning model (AI) was created to determine pass/fail and identify defects based on past product inspection images, and it has been implemented in the inspection process. This system has achieved improvements in inspection speed and labor-saving, with an expected reduction of 27.8% in man-hours compared to traditional methods. *For more details, please refer to the related link page or feel free to contact us.*
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We, as an IT company, will spread smiles through "IT." Employees: We will challenge the infinite possibilities of IT and truly enjoy our work. Families: We aim for the happiness of employees thriving in IT and the families that support them. Customers: We will create new value through IT and remain true partners. Partners: We will share IT technology, strive together, and grow together. Local communities: We will create a comfortable and prosperous society through the use of IT. The world: We will solve the challenges of humanity and nature through IT and realize a sustainable world. Through IT, we will spread smiles around the world.
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