By analyzing with various approaches using AI, the accuracy of factor identification is enhanced, allowing us to identify the causes of defects.
"D-COLLECT" is a product defect improvement service that identifies the causes of defects by sensing raw materials, production equipment, molds, and analyzing the accumulated data with AI. So far, we have identified the causes of defects for many customers, primarily in the automotive parts manufacturing industry, leading to cost reductions. Please start by using our free sample analysis. You can verify the effectiveness of the service in advance. 【Features】 ■ Contributes to revenue improvement ■ Unlike traditional visualization, it is specialized in product defect improvement ■ Identifies defect causes by analyzing accumulated data with AI ■ Supports the construction of systems to directly control peripheral devices ■ Offers free sample analysis *For more details, please refer to the PDF materials or feel free to contact us.
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What this product can do: 1. Visualization of abnormalities and defects 2. Analysis of abnormalities and defects 3. Feedback *For more details, please refer to the PDF document or feel free to contact us.
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【Purpose】 ■Skill inheritance ■Improvement of profits through product defect reduction ■Promotion of factory DX (Digital Transformation) *For more details, please refer to the PDF document or feel free to contact us.
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Our company is working on a new service that collects and analyzes big data from factories, using AI to process and analyze the vast amounts of accumulated big data, ultimately connecting it to our customers' revenue improvement and providing it in the form they desire. We aim to offer services that address the challenges faced by Japanese society, such as measures against labor shortages due to declining birth rates and an aging population, as well as the expansion of services for the elderly.