Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...

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 ...

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 ...

Manufacturing quality control is essential for products that are defect free, safe, and meet customer expectations. As products become more complex, connected, and ...

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 ...

The automotive industry has always relied on precision and efficiency. Today, supply chain complexity, shorter production cycles, and growing customer expectations ...

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 ...

Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...