AI-Vision Detection and Inspection in Advanced Manufacturing

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Objective: In the fast-paced manufacturing landscape, the automotive industry plays a significant role. Meeting the demand for high-quality parts with impressive production rates is challenging. Process engineers diligently monitor production lines to maintain strict quality standards while minimizing scrap. The swift pace of machines calls for effective quality control, which is where the transformative power of AI comes into play. AI can collect sensory data from manufactured parts, providing invaluable feedback to optimize machine performance and quality control continuously.

By utilizing IntelSight, manufacturing line can accurately identify specific air filters processed using AI-powered vision systems, ensuring precise recipe loading and machine parameter alignment. For example, in the manual gluing of a filter pad to an air filter, variations in orientation can lead to defects, slowing production and wasting valuable materials and time. However, with AI accurately providing the filter type, location, and orientation, mechanical glue guns can be smartly adjusted to ensure flawless gluing in every operation. In addition, AI-powered vision processing can be used for printing on filters, quality control, and robotic sorting and packaging.  

Solution: Utilize IntelSight to gather data and train a network to detect and inspect various types of air filters to increase production efficiency and reduce manufacturing scrap. 

Status: The project is under development for factory installation. 

Future: Integration into the gluing and printing stages of filter manufacturing.