[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 these visual inspections, as well as streamlining the inspection process, has been an urgent issue to address. A machine learning model (AI) was created to determine pass/fail and identify defects based on past product inspection images, and it was implemented in the inspection process. This system has achieved improvements in inspection speed and efficiency, with an expected reduction in labor hours of 27.8% 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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