AI in Electronics Manufacturing
Electronics play an indispensable role in modern everyday life. The way we live, work, and interact with the world is dependent on electronics. From communication and entertainment to healthcare and transportation, electronic devices and technologies are integrated into various aspects of our daily routines.
The process of mounting surface components onto printed circuit boards (PCB)s can be subject to missing or incorrect component selection and orientation, resulting in batch scrappage. This is despite in-depth instructions and sufficient operator training. AI visual inspection can be employed as a process control system for in-line assembly verification of PCB components positioning and orientation, enabling early detection of assembly issues. Additional applications also include, detection of insufficient solder, icicle, shift, exceeding tin, etc. in the PCB soldering and gluing process. Other use cases include the detection of glue spill, mesh deformation, scratches, bubbles, etc. in product surface check inspections.
AI in Medical Device Manufacturing
Medical devices directly impact patient health and well-being. Ensuring the safety and reliability of these devices is of utmost importance. Inspection helps detect potential hazards or defects in the likes of stents, balloons, catheters and drug delivery devices, that could pose risks to patients and enables timely corrective actions to prevent adverse events.
Due to the criticality of medical devices like stents, balloons, catheters and drug delivery devices, manufactured batches must be 100% inspected for dimensional conformity and defects. Deep learning inspection models offer accurate rapid defect detection and classification to assist inspectors making the quality control decisions, whilst keeping records of decisions.
AI in Automotive Manufacturing
Automotive manufacturing is a complex process that requires strict adherence to quality standards to ensure the safety, reliability, and performance of vehicles. Manufacturers are required to comply with these regulations to maintain their reputation and meet customer expectations.
Inspection models can be deployed for the detection of scratches, dents, cracks, and staining in surface inspections, issues with welding seams and anomalies in foundry engine block, ensuring product leaving the factory is of the highest quality.