Sunflower module assembling system based on visual guidance

Abstract

The invention discloses a sunflower module assembling system based on visual guidance. The module assembly system based on visual guidance comprises a screw feeder, a data processor and a manipulator,wherein an executing mechanism is arranged at the tail end of the mechanical arm, an industrial camera is installed on the tail end executing mechanism, a conveying belt is arranged below the industrial camera, a module tool station is arranged above the conveying belt, and a sunflower module is placed on the module tool station; and a visual guidance assembly technology working method comprisesthe steps that a module workpiece is moved to the tool station through the conveying belt for photographing, the industrial camera transmits an acquired image to the data processor, the data processorperforms image preprocessing and screw hole position detection on the acquired image, the manipulator carries a screw to reach the position of a screw hole for locking screw operation, and the mechanical arm completes the operation and assembly of the locking screw operation. The system and the method has the advantages that the module assembly technology based on visual guidance is used for replacing manual assembly, the quality stability of the assembled product is good, the production efficiency is improved, and the enterprise cost is reduced.

Description

technical field [0001] The invention relates to the field of assembly technology, in particular to a vision-guided Sunflower module assembly system. Background technique [0002] Machine vision assembly is a modern inspection and assembly technology based on modern optics, integrating electronics, data processor imaging, information processing, data processor, assembly control technology and other science and technology. It has the ability to perform stable detection without contact It has broad application prospects in many automated inspection and assembly, including quality inspection, product sorting, product assembly, size inspection, and character recognition. Machine vision technology is also developing in the fields of drones, intelligent driving, and security. , can improve the degree of automation of the production line and improve the quality of the product. Machine vision can work in some assembly scenarios that cannot be solved by a single manipulator or are not...

AI Technical Summary

Problems solved by technology

LED street lamps have high luminous power and generate a lot of heat. Excessive heat will change the color of the light and shorten the life of LED equipment. However, due to the limitation of space and technological development level, the heat dissipation area of ​​the module is close to that under the current conditions. Critical value, the main reason is that the dimensional accuracy of the parts is not high enough and the shape is complex, the assembly process cannot be completed by traditional manipulators alone, and the high cost of manual assembly and low pass rate also restrict the development of the LED industry

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