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How an Autonomous Machine Vision (AMV) System Increased Accuracy and Cut Waste - Inspekto Industrial IoT Case Study
How an Autonomous Machine Vision (AMV) System Increased Accuracy and Cut Waste
QA automation is a cost-effective solution for manufacturers, as it saves time and money while reducing the risk of defective products. However, traditional QA methods are not sufficient for meeting the rigorous standards of Industry 4.0, and traditional machine vision solutions can be expensive and difficult to implement. BSH, a manufacturer of home appliances, faced this challenge and sought to improve the accuracy and efficiency of their batch inspection process without incurring high costs. They partnered with Inspekto to address the issue and reduce detection time of component defects at one of their oven manufacturing plants in Germany.
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How to Track and Analyze Production Quality Using AI - Inspekto Industrial IoT Case Study
How to Track and Analyze Production Quality Using AI
Extra loop of manual double-checks is needed in automotive quality inspections.
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