Automotive AI Quality Inspection Case Study | How Does BangQi’s Digital Solution Achieve 100% Full Inspection, High Precision, and High Efficiency?

As the global automotive industry increasingly demands intelligent and efficient production, BangQi Technology has partnered with a leading automotive company. The automotive manufacturer has launched a deepened collaboration, deploying for it AI-Driven Digital Industrial Quality Inspection Solution Through Advanced optical, human-machine interaction, and AI-powered visual recognition technologies combined with industrial "Know-How." , helping the company successfully navigate the multiple challenges it faces in the quality inspection process and achieve Significant improvement in detection efficiency and digital upgrade of quality inspection processes , production quality and intelligentization levels have achieved a "qualitative" leap forward.

By introducing the PoundFlag AI-powered digital industrial quality inspection solution, the aforementioned customer's digital testing system Achieve 100% real-time detection across all products, covering visual defects, paint coatings, concentricity/diameter, and packaging aesthetics—while boosting detection accuracy to over 99%. Compared to the 85% accuracy of manual inspection, the system significantly improves both detection efficiency and accuracy.

BangQi Technology's AI-powered industrial inspection solution helps customers reduce their reliance on on-site quality control personnel. Labor costs reduced by 70% . No need to assign inspection personnel to each production line anymore—human resource allocation has been further optimized.

The customer's factory has achieved digital and intelligent upgrades to its production chain, specifically in the quality inspection process for stamped and formed parts. Achieve end-to-end process Automation has significantly boosted both production quality and efficiency.

The aforementioned customer currently relies on manual spot-checking to inspect the appearance quality of products during the automotive parts manufacturing process. Each production line requires at least six inspection personnel to carry out these checks, making it impossible to achieve 100% online inspection of every single part. Low detection efficiency and limited accuracy , unable to meet the demands of intelligent manufacturing and efficient quality inspection.

Importantly, automotive parts come in a wide variety of complex specifications, making it difficult for manual inspection to quickly and accurately identify surface defects such as porosity, unevenness, scratches, cracks, and hidden flaws—issues that severely hinder improvements in both production efficiency and product quality.

Responding to customer needs, BangQi Technology has launched an AI-powered digital industrial quality inspection solution, leveraging the introduction of AI, Optics, human-computer interaction, and visual recognition technologies Wait, empowering enterprise clients with flexible manufacturing.

BangQi Technology has deployed over 100 visible-light and infrared cameras, creating a comprehensive camera matrix capable of inspecting every component that passes through. Comprehensive scanning and detection By integrating with industrial AI vision algorithms and models, the system can instantly detect appearance quality issues in parts, such as surface hole features, unevenness, scratches, cracks, and hidden defects, enabling real-time monitoring of components. 100% Inspection 。

Due to the numerous and complex product specifications of body panel components, BangQi Technology has developed a variety of critical solutions tailored to different part types and production rhythms. Defect Detection Visual Hardware and Tooling Integration System , capable of performing visual algorithm-based part inspection according to the constraints of the on-site environment. Efficient identification and localization , ensuring the accuracy and stability of the detection.

BangQi introduces AI-powered industrial vision positioning and big data analytics technology It can precisely locate detected defects and perform unified data analysis, displaying the results in real time on the production line’s interactive dashboard to guide on-site operators in quality assessments and component rework. This not only enhances inspection efficiency but also provides the technical foundation and resources needed for developing more advanced, fully automated defect-grinding systems in the future.