Airplane parts need thorough inspections, and AI can help — but only if data is up to snuff (www.businessinsider.com)

Safran, an aviation manufacturer, is revolutionizing its quality assurance inspections by integrating AI technology, specifically through collaboration with Loopr AI. Traditional inspections of airplane parts, like toilet lids, took inspectors 20 to 30 minutes and could be susceptible to human fatigue, affecting defect detection rates. With the implementation of AI and synthetic data generation, Safran has successfully reduced inspection times to just 5 to 10 minutes while maintaining high accuracy—achieving a record 90.9% recall rate in identifying cosmetic defects. This advancement has significant implications for the AI/ML community, showcasing how machine learning can enhance industrial processes by addressing data scarcity challenges. Synthetic data generated from existing images allows for vast training sets despite low production volumes, ultimately enabling the automation of repetitive tasks and standardization of processes. As Safran rolls out this technology to additional facilities, the potential for increased throughput—by 10% to 15%—demonstrates a forward step in efficiency and quality in manufacturing, positioning AI as an essential tool in modern industrial applications.