In-Sight 3900 Series
In-Sight 3900 is a high-speed AI machine vision system built for high-throughput production lines, with powerful computing and embedded AI for processing high-resolution images and advanced inspections.
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Automotive seat covers and control modules differ between makes, models, and trim packages, complicating assembly inspection and defect detection. Dozens of subtle variations between stitching, colors, fabrics, and patterns increase the risk of defects. Determining a stitching defect and distinguishing the difference between fabrics or patterns requires flexible machine vision that can quickly adapt to new designs.
Different suppliers, models, styles, finishes, and option packages bring constant change and increased inconsistency to seat assemblies. These variables make manual inspections error-prone and inefficient, and identifying fabrics, patterns, stitching methods, and colors is too difficult for rule-based machine vision. Missing covers and mismatched or misaligned components can cause costly delays, rework, and damage to a brand's reputation.
Cognex solutions use AI to automate tasks like seam defect detection, cover presence, as well as pattern, color, and fabric verification. Since Cognex AI technology learns by analyzing images of both defective and acceptable fabric and stitching, it’s easy to adapt to new designs and variations. With advanced optics and intelligent software, Cognex systems deliver fast, reliable inspection for intricate upholstery designs.
Cognex uses AI that learns by example, enabling machine vision systems to identify different seat colors and features.
Seat control modules vary in size, shape, and placement. Combined with reflective surfaces and tight spaces that complicate image capture and analysis, assembly inspection is too difficult for manual or rule-based machine vision. Cognex solutions use example-based AI to inspect and verify vehicle seat control modules, helping auto manufacturers achieve exact placement, secure mounting, and consistent quality.