With the new generation of industrial revolution sweeping the world, artificial intelligence has become the core direction of the revolution. With the help of the rise of artificial intelligence, machine vision has gradually become a must for industrial manufacturing. Driven by Industry 4.0 and Made in China 2025, Chinese manufacturing companies have invested in the process of intelligent transformation, but at present, traditional machine vision cannot meet the needs of high-precision, multi-dimensional detection scenarios. The deep learning algorithm realizes product iteration and empowers the transformation and upgrading of manufacturing production lines.
In recent years, thanks to the breakthrough of algorithms such as deep learning, the continuous improvement of computing power, and the continuous accumulation of massive data, innovative machine vision equipment integrated with deep learning has been applied to industrial production at an accelerated rate, realizing the upgrading and improvement of industrial machine vision. The application value has played an important technical support.
AI algorithm supports machine vision and cuts into more differentiated industrial scenarios
Machine vision is one of the basic technologies of industrial automation. Through the fusion with AI algorithm, machine vision is endowed with higher accuracy and detection speed, and another iterative upgrade of machine vision system is realized. The machine vision system has also transformed from an automated machine that can automatically perform simple tasks to an autonomous machine that can realize self-learning and training. AI+ machine vision technology is expected to further penetrate into industrial manufacturing and reach a new level.
Under the upgrading trend of AI+ machine vision technology, innovative machine vision equipment will reflect a higher degree of matching in terms of industrial automation, digitization, flexibility, and complexity. Traditional machine vision technology needs to represent data as a set of features, or input it into a prediction model, so as to obtain prediction results and complete specified actions. It is difficult to adapt to future flexible production requirements, especially in scenarios with complex defect types and complex backgrounds. increasingly difficult to apply.
Equipped with the deep learning function, machine vision converts the original data features through multi-step feature conversion to obtain a higher-level and more abstract feature representation, and further inputs it into the prediction function to obtain the final result. Machine vision based on deep learning can complete detection in increasingly complex environments with higher detection efficiency and more advantages, and meet the stringent requirements of more downstream application scenarios for high precision and versatility. AI+machine vision will continue to empower manufacturing and production, driving the restructuring of the manufacturing value chain.
In order to help the domestic manufacturing production line to realize the transformation and upgrading of intelligence, automation and modernization, relevant personnel of Shenmo Technology have conducted field research in various scenarios to understand the needs of different industries, and innovatively developed industrial AI through "traditional machine vision + deep learning" technology The vision system uses a high-definition camera to capture physical images, and quickly stores and calls a large amount of data to fully realize the digitization and visualization of visual inspection. In the future, machine vision will be equipped with more advanced AI technology to cut into more differentiated industrial scenarios.
Machine vision is promising, expanding its application fields in multiple directions
With the mature application of new technologies such as cloud computing, big data, and 5G, AI technology is accelerating its application in machine vision. Deep Eye Technology has been deeply involved in the machine vision industry for many years, and is well aware of the importance of AI technology for machine vision. Through the "traditional machine vision + deep learning" technology, it accelerates the update and iteration of innovative machine vision equipment, and helps the manufacturing industry to realize the digital transformation of production lines.
Machine vision has obvious advantages in the flexible and automated production of manufacturing production lines. At present, machine vision technology has been widely used in the production lines of new energy, 3C electronics, home appliances, medical and other industries, such as battery defect detection, resistance welding defect detection, sheet metal Metal defect detection, medicine box OCR detection, etc. With the strengthening of quality control in industrial production and higher requirements for product defect detection, machine vision has been able to meet flexible, automated and efficient production, gradually replace traditional detection technologies, and greatly improve the production efficiency and quality of industrial products Guarantee, save manpower and time costs, and achieve cost reduction and efficiency increase for enterprises.
At present, the application range of machine vision continues to expand, and it has become an indispensable part of industrial production. From the perspective of product application, machine vision is not only used as a single product in quality monitoring and other fields, but is also widely installed in industrial automation products such as industrial robots and CNC machine tools. It is widely used in the process of industrial automation.
In the face of new changes and new demands for zero defect and high precision in the domestic manufacturing industry, Shenmo Technology will use its solid technical strength to dig deep into the application limits of AI+ machine vision, in order to meet the needs of customers in various industries first, and innovate products and solutions , to realize the flexible upgrade of machine vision and intelligent manufacturing industry!