The semi-automatic image
Measuring Instrument can conveniently and quickly carry out three-dimensional coordinate measurement and SPC result classification, and meet the increasingly prominent requirements of modern manufacturing industry for dimension detection: faster, more convenient and more accurate measurement needs, and solve another bottleneck technology in the development of manufacturing industry.
The semi-automatic image measuring instrument is based on the artificial intelligence technology of machine vision, such as automatic edge extraction, automatic matching, automatic focusing, measurement synthesis, image synthesis, etc. It has the functions of automatic measurement of where to go, automatic measurement of CNC walking, automatic learning batch measurement, image map target guidance, full field eagle eye magnification, etc. At the same time, it is based on machine vision and the auto-focusing process under the control of micrometer, which can meet the need of auxiliary height measurement under clear contrast (contact probe can also be added to complete coordinate height measurement). It supports the software performance of spatial coordinate rotation. It can conduct batch measurement when the workpiece is placed at will, and can also use the fixture to conduct mass scanning measurement and SPC result classification.
Semi-automatic image measuring instrument, which is the stage of image measuring technology, is highly intelligent and automatic. Its software and hardware performance makes coordinate dimension measurement convenient and comfortable. It has automatic learning function based on machine vision and process control. Relying on the high-speed and accurate micron-level positioning of digital instruments, it can self-learning and memory the path of the measurement process, focusing, point selection, function switching, manual correction, light matching and other operation processes. The full-automatic image measuring instrument can easily learn all the practical operation processes of the operator, and realize artificial intelligence by combining its automatic focusing and area search, target locking, edge extraction, and fuzzy operation of point matching and selection. It can automatically correct the offset caused by workpiece differences and walking differences to realize point selection, with high accuracy and repeatability. Thus, the operator can be freed from the monotonous operation such as tired visual alignment, frequent point selection, repeated walking, function switching, and increasingly onerous tasks to be tested, and the efficiency of batch testing of workpieces can be improved hundreds of times to meet the needs of industrial sampling and mass testing.
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