Elimination of manual labor in the process through image recognition and AI technology! Achieving productivity improvement through automation.
We will introduce examples of the use of "image recognition and AI technology" that our company handles. We faced challenges such as "wanting to eliminate work errors caused by human labor and dependency, as well as a decrease in productivity." Therefore, we implemented automation using image recognition and AI technology. As a result, in the automation of the packaging count process, we were able to prevent errors and reduce work time by photographing the packaging condition with a camera and confirming with AI that the packing status was normal. 【Challenges】 <Manufacturing Personnel> ■ Manual checks ■ Quantity errors, significant work time <Manufacturing Line> ■ Responding after confirming troubles ■ Difficult to investigate causes *For more details, please refer to the PDF document or feel free to contact us.
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【Results】 <Automation of Packaging Count Operations> ■Mist prevention, reduction of work time ■Improvement in quality and work efficiency through AI implementation <Automation of Equipment and Product Anomaly Confirmation Operations> ■Early response, understanding of trouble factors ■Operational monitoring and improvement through image recognition *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Company information
Our company is a group of engineers engaged in establishing manufacturing conditions and developing systems necessary for new product development and mass production improvement, primarily in the field of semiconductor manufacturing. We provide consistent support from proposing improvement measures to addressing and following up on issues, by directly confronting phenomena in the field and utilizing statistical methods based on principles and fundamentals. The name of our company, "At Fields," embodies our commitment to contributing to our customers rooted in the field. We promise to be a strong partner in improving our customers' management.