The applications of visual inspection are actually so wide-ranging!

　　Let’s all take a closer look at the benefits of visual inspection: non-contact measurement ensures that neither the observer nor the object being observed suffers any damage, thereby enhancing system reliability. It boasts a broad spectral response range—for instance, by utilizing infrared measurements that are invisible to the human eye, it extends the visual range beyond what the human eye can perceive. Moreover, it enables stable operation over long periods—while humans find it difficult to maintain prolonged observation of the same object, machine vision can perform measurement, analysis, and recognition tasks continuously for extended durations.

　　1. Application of Visual Inspection in the Printing Industry

　　Using online/offline visual systems, quality issues in the printing process—such as die-cutting defects, ink buildup, ink splashing, missing or faint prints, misregistration, and color deviations—can be detected. Moreover, the online equipment can feed back the detection results of color deviations and ink quantity levels to the PLC, enabling real-time adjustment of the ink supply to the printing equipment and thereby improving both print quality and efficiency.

　　2. Application of Visual Inspection in PCB Board Testing

　　The visual system is used to inspect bare PCBs, detecting errors in the position and spacing of wires and components on the board, dimensional inaccuracies in traces and components, incorrect component shapes, continuity issues in wiring, and any damage or contamination on the board.

　　3. Application of Visual Inspection in Part Inspection

　　Machine vision inspection can easily handle quality control in the production of metal parts, such as coins, automotive components, connectors, and more. By employing image-processing techniques, it detects defects on the surface of metal parts—including scratches, imperfections, discoloration, and adhesions—and guides the mechanical transmission system to automatically reject defective items, thereby boosting production efficiency. Meanwhile, statistical analysis of defect types can provide valuable insights for adjusting production parameters, further enhancing product quality.

　　4. Application of Visual Inspection in Automotive Safety

　　For most people, driving emergencies are still judged based on subjective thoughts and consciousness. As safety incidents become increasingly frequent, the concept of safety has drawn widespread attention. Consequently, digitalization has become mainstream in automotive safety monitoring systems and is now a hotly debated topic within the industry.

　　According to incomplete statistics, 50% of traffic accidents are caused by drivers who are not fully alert, leading to collisions. Could we envision a detection system based on the Internet of Things—one that monitors whether a driver is fully alert and issues timely warnings to prevent safety incidents from occurring? The answer is yes. Currently, the industry has already developed IoT-based digital systems for monitoring drivers’ mental states. These systems leverage vehicle-to-everything (V2X) technologies to meet the new demands of driving safety monitoring. The application of such digital systems integrates multi-pose face detection methods that capture posture information, head-pose estimation techniques grounded in biometric data, and fatigue-driving models that combine various biometric features unique to each driver. This integrated approach will significantly enhance the accuracy and reliability of fatigue-driving detection.