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With the advancement of technology and the transformation and upgrading of the manufacturing industry, vision inspection technology has become an essential tool for improving production efficiency and product quality. Vision inspection technology is an advanced method based on computer vision and image processing. By capturing product image information and using computer algorithms for image analysis and processing, it enables rapid and accurate quality inspection and monitoring. This helps manufacturers enhance production efficiency and reduce the risk of product defects. Currently, vision inspection technology is widely applied in industries such as home appliances, kitchen appliances, furniture, automotive, 3C electronics, new energy, lithium batteries, and raw materials.
This article explores the application of vision inspection technology in industrial manufacturing from four aspects: appearance quality inspection, intelligent error prevention and foolproofing inspection, product dimension measurement, and behavior recognition.
Appearance quality inspection is one of the most common applications of vision inspection technology. With increasing consumer expectations, product appearance quality significantly influences purchasing decisions. Traditional manual inspection methods rely on human judgment, which is prone to fatigue and subjectivity. In contrast, vision inspection technology uses algorithms and models to precisely analyze and measure product surface details, colors, and defects, ensuring consistency and stability in product quality.
Currently, vision inspection technology has matured in industrial production, particularly for inspecting the completeness, dimensional accuracy, and surface quality of products such as automotive parts, electronic circuit boards, and glass substrates. These inspections are relatively straightforward.
For large-area products like household appliances and sheet metal, appearance inspection is more refined. The inspection involves detecting visual defects, assembly issues, and verifying the consistency of printed materials and logos with product models. This requires vision inspection technology with higher precision and greater flexibility.
To meet consumers' growing demands for high-end, intelligent, and diversified products, manufacturers are accelerating their transformation and upgrading processes to ensure stable production with high quality. Traditional manual vision inspection and basic visual measurement methods are limited by human fatigue and attention span, making them insufficient for the increasingly stringent quality inspection requirements.
Vision inspection technology, on the other hand, offers intelligent error prevention and foolproofing. By identifying assembly errors, missing components, or misaligned parts in real-time, it helps prevent defective products from advancing through the production line, reducing rework rates and production costs.
Vision inspection technology plays a significant role in product dimension and shape measurement. During manufacturing, products must meet specific dimensional and shape requirements to ensure functionality and proper assembly. Traditional manual measurement methods are time-consuming and prone to errors. Vision inspection technology, equipped with high-precision image processing algorithms, can automatically measure various critical parameters such as gaps, offsets, angles, lengths, widths, areas, curvatures, thicknesses, holes, and relative positions of structural components. The results are then compared with design specifications to determine compliance, greatly enhancing measurement accuracy and efficiency.
As the digitalization and intelligence of the manufacturing industry progress, smart management of production line personnel behavior has become an essential aspect of industrial intelligence. In industrial environments, monitoring scenarios include checking whether workers have missed component assembly, failed to fasten screws, skipped electrical testing, omitted performance tests, or forgotten to add accessories.
Behavioral error prevention technology can be achieved using vision-based photo capture or video object detection. While photo capture has limitations in accurate detection, step monitoring, and traceability, video object detection based on AI vision inspection technology is the optimal choice for complex manufacturing environments. It not only monitors abnormal behavior of production line workers but also detects anomalies in the production line, equipment malfunctions, and material transport issues.
The application of vision inspection technology in manufacturing provides manufacturers with a powerful tool for fast and accurate product quality inspection, improving both product quality and production efficiency while reducing production costs. Traditional quality inspection methods often require significant human resources and time, whereas vision inspection technology automates many labor-intensive inspection tasks, lowering labor costs and saving time and resources.
Moreover, vision inspection technology offers advanced quality control measures. By integrating vision inspection with intelligent algorithms, manufacturers can perform complex quality tasks such as defect detection and color recognition, significantly raising product quality standards to meet higher customer demands.
With continuous technological advancements, the application of vision inspection technology in manufacturing is expected to expand further, offering manufacturers more opportunities and competitive advantages.
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