machine vision system

AI algorithm - the core driving force of machine vision system Machine vision is an important branch technology in the field of artificial intelligence, and its key lies in implanting "human eyes and brain" into machines. AI algorithms provide the internal core driving force for machine vision inspection system. Regardless of the application in any scenario, machine vision needs to think, judge, and execute actions like humans. AI algorithms provide underlying data logic support for machine vision, including difficulties in target object judgment execution, complex and variable environments, feature learning and recognition, real-time performance and computing resources, and model generalization ability. With continuous increase in research and development investment and upgrading of algorithm systems, these difficulties have been gradually overcome.   Continuously Expanding Application Scenarios from Traditional to Innovation With the support of AI algorithms, the hidden properties of machine vision are released, and the application scenarios continue to expand. From the underlying logic, technology to application, AI algorithms greatly empower the intelligent application of machine vision inspection system in images, quickly establish classification models with small samples, reduce data collection and calculation costs, and improve image recognition accuracy.     At first, KeyeTech mainly applied machine vision in the field of plastic packaging defect detection. Currently, a deep collaboration among multiple industries has been formed, integrating the entire industry chain of light, machinery, electricity, computing, and software.   Through project practice in packaging containers, electronics, new energy, medicine, textiles, food and other fields, we aim to continuously expand the application scenarios of "Keye AI Machine Vision" and transform AI into true productivity.     From plastic packaging visual inspection, to visual empowerment of new energy, and to the creation of a "three in one inspection solution" for glass wine bottles, all are the fusion of "Keye machine vision". In the future, KeyeTech will also achieve comprehensive breakthroughs in AI machine vision application scenarios.

Machine vision inspection is a rapidly developing branch of artificial intelligence (AI). According to the definitions of machine vision by the Machine Vision Division of the Society of Manufacturing Engineers (SME) and the Automation Vision Division of the Robotics Industry Association (RIA), machine vision is a device that automatically receives and processes an image of a real object through optical devices and non-contact sensors to obtain the required information or to control robot motion.   Simply speaking, machine vision is using machines instead of human eyes. Machine vision simulates the eyes for image acquisition, extracts information through image recognition and processing, and finally completes the operation through the execution device.   Traditional machine vision inspection technology requires representing data as a set of features or inputting them into a prediction model to obtain prediction results. This requires completing specific actions, making it difficult to adapt to future flexible production needs, especially in scenarios where defect types are complex, subtle, and background noise is becoming increasingly difficult to apply.     After being equipped with AI deep learning function, machine vision converts the original data features into a higher-level and more abstract feature representation through multi-step feature transformation, and further inputs it into the prediction function to obtain the final result.     Machine vision based on deep learning can combine the efficiency of machine vision with the flexibility of human vision in an ideal state, thus completing detection in increasingly complex environments, especially when involving deviations or extreme environments, meeting the stringent requirements of downstream for defect accuracy and universality.