In today's Industry 4., which is dominated by smart manufacturingIn the 0 era, machine vision technology, with its unique advantages, is gradually replacing the traditional manual visual inspection method and becoming a new engine for product quality control. In particular, the wide application of DLIA-based defect detection system (DLIA) based on deep learning demonstrates the efficient empowerment of machine vision for modern manufacturing.
Machine vision is a technology that simulates human visual perception through image sensors and computer algorithms, and then realizes the functions of object recognition, measurement, and positioning. Compared with manual visual inspection, machine vision is not affected by subjective factors such as fatigue and emotion, and has a high degree of stability and accuracy, and can continuously carry out high-speed and high-precision quality inspection work without interruption. The application of this technology has significantly improved the automation level and overall efficiency of the production line, and greatly empowered the modern manufacturing industry.
The DLIA defect detection system is based on machine vision and deeply integrates deep learning algorithms, making it have stronger self-learning and problem-solving capabilities. The system can train deep neural network models through massive samples, accurately understand the standard form of various products, and can find and classify various subtle product defects in real time, such as size deviations, surface defects, color differences, etc., and its detection accuracy far exceeds that of traditional rule-based or template-matching methods.
The value of the transition from manual visual inspection to DLIA defect detection:
Improve detection accuracy and efficiency: Compared with the omissions and misjudgments that may occur with the human eye, the DLIA defect detection system can effectively reduce the false detection rate and missed detection rate, ensure the consistency of product quality, and improve the detection speed to meet the needs of large-scale rapid production.
Reduce costs and risks: Long-term and high-intensity manual visual inspection is easy to lead to visual impairment and fatigue errors of quality inspectors, after the use of DLIA defect detection system, enterprises can not only reduce labor costs, but also avoid product quality problems and potential production accident risks caused by human factors.
Realize intelligent decision-making: DLIA defect detection system can not only provide real-time quality inspection data, but also provide strong data support for production optimization and process improvement of enterprises through the mining and analysis of historical data, and the best possible production problems, and further promote the transformation and upgrading of enterprises to intelligent manufacturing.
With the continuous development and improvement of artificial intelligence and machine vision technology, DLIA defect detection system will be more widely used in auto parts, semiconductor manufacturing, electronic components, food packaging and other fields. This not only reduces labor costs, but also optimizes the production process, ensures product quality, and helps enterprises improve market competitiveness. At the same time, it also marks the transformation of industrial production from labor-intensive to technology-intensive, injecting strong momentum into the realization of the strategic goal of "Made in China 2025". Hotspot Engine Program