Optical text, recognition system, automation/robot technology, infrared image system.
Character processing and recognition system, automation/robot technology, infrared imaging system, tobacco, banknote printing, electronic assembly, quality inspection, automatic recognition (OCR/OCV), measurement, intelligent vision, surface inspection, printing, packaging, complex industrial object vision online, automobile manufacturing, license plate, biometric identification, medical testing, optical inspection and other systems.
Machine vision technology is a high-tech system that integrates modern computer, optics, and electronic technologies. Machine vision technology uses a computer to process the images taken by the system, analyze the information in it, and make corresponding judgments, and then issue control instructions to the device.
(1) Image acquisition uses a light source to illuminate the object or environment to be observed, acquires images through an optical imaging system, and converts optical images into digital images through cameras and image acquisition cards. This is the front end and information source of the machine vision system.
(2) Image processing and analysis. The computer processes the image through image processing software and analyzes and obtains useful information. For example, whether there is a circuit break in the image of the PCB board, whether there is a defect in the image of the textile, and what text is in the image of the document, etc. This is the core of the entire machine vision system.
(3) The machine vision program judges and controls the information obtained by image processing, and then uses it to judge the object (measured object, environment), and forms the corresponding control command, which is sent to the corresponding organization. For example, in the captured part image, calculate whether the size of the part is consistent with the standard, and if the part is inconsistent, an alarm will be issued, marking or rejection will be made.
In the whole process, the information of the measured object is reflected as image information, and then after analysis, the characteristic description information is obtained from it, and then judgments and actions are made according to the obtained characteristics.
A typical telecentric lens machine vision system generally includes: a light source, an optical imaging system, a camera, an image capture card, an image processing hardware platform, an image and visual information processing software, and a communication module.
In general, a successful machine vision solution needs to focus on the key technologies of image acquisition (including light source, optical imaging, digital image acquisition and transmission), image processing and analysis.
The machine vision optics system is a highly integrated system of opto-electromechanical computers, and its performance is not only determined by a certain link. Every link is perfect, and it does not necessarily mean that the final performance is satisfactory. System analysis and design is the difficulty and foundation of machine vision system development, and it is also something that many developers are not good at, and urgently need to be strengthened.