Research On Laminating Attaching Of Up And Cover Making Machine Based On Vision Orientation

Based on electro-optical tracking hydraulic servo positioning technology,the up and bottom cover making machine has been favored by markets with the characteristic of automation and Volume production.With rapid product updating and continuous personalized demand,the requirement for product shape and packaging design is developing into diversified demand.The disadvantages of the traditional up and bottom cover making machine gradually appear under new situation,because the expansion,accuracy and speed of the positioning system cannot meet the market demand.Therefore,it is of great significance and market value to improve the attaching speed,precision of the positioning system,and flexibility of the equipment.This paper introduces the production process of up and bottom cover making machine.The function modules and hardware components of alignment and attaching system are analyzed according to the process requirements.Then the problems are raised for traditional electro-optical tracking hydraulic servo positioning system.Combining with attaching process and characteristics,the alignment and attaching plan are developed based on servo motion control.To determine the realizing forms of each function module in the system,the feasibility of visual positioning are analysed by basic principle.Finally,an experimental platform are designed for laminating positioning and attaching system.Due to the requirements of image acquisition and alignment and attaching process of laminating,the concept of visual-flight imaging is introduced and the principle is further analyzed.To improve the image quality and stability,the phenomenon of vibration and distortion should be avoided for the camera blurring of images.The hardware architecture of visual-flight imaging is adjusted by installing the camera into bracket,which is formerly installed in pickup site at the end of mannipulators.the experiment of actual image acquisition is desined to insure the rationality and reliability of imaging structure.For the requirements for high success rate and positioning accuracy of image edge extraction,the advantages and disadvantages of traditional edge detection operator are analyzed by comparing the experimental results.This paper presents an adaptive threshold Canny algorithm for image edge detection based on OTSU algorithm,which has successfully automatically extracted image edge contour.Based on coarse and fine combination,the image edge space position has been quickly detected by Hof transform operator.The experiments has proved the operator feasible,and met the requirements of laminating positioning and attaching.Finally,the visual servo control system is built by hardware design,actuator selection and control circuit.The image acquisition module,image processing module,motion control module are integrated through the special interface and dynamic link library calling technology in LabVIEW.Then,the man-machine interation is desined and the host computer control software of visual servo controller is wrote.It has been proved feasible with a certain market value.