Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...
Automotive is demanding more emphasis on chip reliability. By 2020, electronic devices will account for over 35% of the manufacturing cost of an automobile, and by 2030, that number is expected to ...
The United States is experiencing a manufacturing renaissance, driven by the integration of AI and automation into manufacturing execution systems (MES). The combination of hardware—such as sensors ...
Ford has launched two AI systems to help factory workers find minor parts problems. The system checks if the correct trim parts are added to each vehicle and if each electrical connection is fully ...
Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...
Manufacturing quality control is essential for products that are defect free, safe, and meet customer expectations. As products become more complex, connected, and ...
Researchers have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection. Researchers from EPFL have resolved a long-standing ...
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AI detects defects in smart factory manufacturing processes even when conditions change
Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory manufacturing sites. However, when the manufacturing process changes due to ...
The automotive industry has always relied on precision and efficiency. Today, supply chain complexity, shorter production cycles, and growing customer expectations ...
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