Machine vision (Computer Vision) is a technology that analyzes and processes digital images or videos using computers and digital signal processing technology. It has been widely used in many fields, including industry, healthcare, security monitoring, military, transportation, entertainment, and more. The following are some common applications of machine vision:
1, industrial automation: machine vision technology can be applied to the production line, used to detect the quality, size, shape of the product, so as to improve production efficiency and product quality. It can also be used in intelligent warehousing and logistics management.
2, vehicle identification: machine vision can be applied to the field of road traffic, for vehicle identification, vehicle tracking, license plate recognition, etc., which helps traffic management and improve traffic safety.
3, security monitoring: machine vision technology can be applied to the field of security, used to monitor the scene of the people, vehicles, objects, etc., through the image recognition and analysis technology, to achieve intelligent alarm, abnormal behavior detection and other functions.
4, medical diagnosis: machine vision technology can be applied to the medical field, for the analysis of medical images, pathology diagnosis, etc., which helps to improve the accuracy and efficiency of medical diagnosis.
5, face recognition: machine vision can be applied to the field of face recognition, used for identity verification, access control management, etc., which helps to improve security and management efficiency.
6, augmented reality: machine vision technology can be applied in the field of entertainment, advertising and other areas to achieve the effect of augmented reality, so that users feel the presence of virtual information in the real scene.
7, automatic driving: machine vision can be applied to the field of automatic driving for road condition recognition, obstacle recognition, lane keeping, etc., which helps to improve the safety and reliability of automatic driving system.
8, unmanned aircraft: machine vision can be applied to the field of unmanned aircraft, used for unmanned aircraft autonomous navigation, environment perception, etc., which helps to improve the flight efficiency and safety of unmanned aircraft.
9, smart home: machine vision technology can be applied to the field of smart home, used for the control and management of smart home equipment, such as smart door locks, smart home appliances and so on.