VisionPro Deep Learning
AI-powered PC image inspection software for fast, robust quality control.
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Inspecting airbags and their various components is a costly but critical task. Conventional, rule-based machine vision systems can struggle to recognize flaws like defective stitching in complex backgrounds. AI-powered machine vision systems from Cognex automate airbag stitching inspection, canister assembly verification, and other tasks by analyzing sample images, helping you enhance product quality while maintaining throughput and flexibility.
Airbags are crucial safety components that must meet the highest quality and integrity standards. Flaws in airbag fabric, like holes, tears, or stitching issues, are difficult to detect, as are defective airbag canisters. But inspection isn’t easy. Reflective surfaces on airbag canisters and subtle textile deviations can be easily overlooked by manual inspection, and the types of defects are too irregular for rule-based machine vision. To meet the highest safety standards, ensure reliability, and reduce recall risk, airbag suppliers and manufacturers must:
Cognex machine vision uses AI to deliver precise inspections. By analyzing example images, the software learns to distinguish between defective and acceptable components, adapting to various stitching patterns and anomalies. Combined with flexible lighting and powerful optics that maximize image contrast, these solutions automate airbag defect detection for greater throughput and higher quality.