Full-automatic image measuring instrument, it can be convenient and fast three-dimensional coordinate measurement and SPC results classification, and to meet the modern manufacturing industry on the size of the increasingly prominent requirements of the inspection: more high-speed, more convenient, more accurate measurement needs to solve the manufacturing industry in the development of another bottleneck in technology.
Full-automatic image measuring instrument, which is based on machine vision, automatic edge extraction, automatic matching, automatic focusing, measurement synthesis, image synthesis and other artificial intelligence technology, with a point where to go where automatic measurement, CNC alignment automatic measurement, automatic learning batch measurement, image map target guidance, full field of view of the eagle's eye magnification and other functions. At the same time, it is based on machine vision and micron precision control of the auto-focus process, can meet the needs of clear imaging under the auxiliary height measurement (can also join the contact probe to complete the coordinate height measurement). It supports spatial coordinate rotation software performance, can be placed in the workpiece at random for batch measurement, can also be used for fixtures for high-volume scanning measurement and SPC results classification.
Full-automatic image measuring machine, it is the image of the advanced stage of measurement technology, with a high degree of intelligence and automation characteristics. Its hardware and software performance makes coordinate size measurement convenient and pleasant, with automatic learning function based on machine vision and process control, relying on the high speed and accurate micron-level alignment of the digital instrument, can be measured in the path of the process, focus, point selection, function switching, manual correction, light matching and other operational processes of self-learning and memory. Fully automatic image measuring instrument can easily learn all the operator's hands-on process, combined with its automatic focus and area search, target locking, edge extraction, Ripley point selection fuzzy algorithms to achieve artificial intelligence, can be automatically corrected by the differences in the workpiece and alignment differences caused by the offset to achieve accurate point selection, with high precision repeatability. This frees operators from the fatigue of precise visual alignment, frequent point selection, repetitive alignment, function switching and other monotonous operations and the increasingly heavy task of waiting for the test to be freed, hundreds of times to improve the efficiency of the workpiece batch testing to meet the needs of the industrial sampling and large-volume testing.