IDC Perspective: Vision-Based Quality Management Systems

IDC Perspective: Vision-Based Quality Management Systems

This IDC Perspective covers an overview of the role of advanced vision technology solutions and their implications on manufacturing quality management system (QMS). The integration of artificial intelligence (AI) and deep learning (DL) data models into vision systems unlocks a whole new level of applications, moving beyond quality inspections to business operations. The deployment of vision system over cloud, edge, or hybrid platforms will improve decision model accuracy while simultaneously enabling remote monitoring and tracking for faster decision making in business operations. "AI-based vision technology will drive vision system beyond conventional manufacturing quality inspection, creating significant value to business processes and providing a fast, consistent, and accurate AI-powered decision support. Organizations that are looking into implementing vision technology into their business operations need to keep in mind that the accuracy of AI or DL decision models relies on a significant amount of data. This means that both hardware and software infrastructures need to be sufficient to support the processing demand to ensure seamless operation. Customizable data models and the versatile options of vision system are the keys in the successful deployment that leads to improvement in organizational efficiency," says Wai Yee Lee, research manager, IDC Asia/Pacific Manufacturing Insights.

Please Note: Extended description available upon request.

Executive Snapshot
Situation Overview
Evolution of Vision Inspection Technology
Strengths and Advantages of Vision Technology
Benefits and Tangible Value of Automated Vision Inspection in QMS
Use Case 1: Visual Space Utilization
Use Case 2: Tunnel Engineering Quality Inspection
Use Case 3: Security Surveillance
Vendors Providing Vision Systems Solutions
Challenges in Vision Technology
Advice for the Technology Buyer
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