Design Of Automatic Plug-in Workstation For The Car Fuse Box

In the automotive electronics industry,Car vaults are a key component in automotive electronic control components.In the car fuse box inserted in the various types of color fuse,wherein the body of the electronic equipment through the corresponding color fuse connected to the circuit,its role is that when the current of a vehicle body electronic equipment abnormal and exceeds its rated Current fuse immediately,to protect the body of electronic equipment purposes.At present,the plug-in machine used in the manufacturing process of a safety box can only be inserted with a single-color fuse,and still adopts a plurality of feeding disks to provide different color of safety sheets.The plug-in connection can only be fixed in a point-to-point manner and has poor adaptability.Seriously affect the production of plug-in fuse box.With the development of machine vision and robotics,the combination of machine vision and robotics in the operation of plug-in fuse box can greatly improve the flexibility,speed and accuracy of plug-in.Therefore,this plug-in method is of great significance for automated plug-in fully.The system uses SCARA robots,camera CCD,circular feed tray as the hardware foundation,setting up a monocular visual SCARA robot automatic plug-in system.Then take the plug-in system as the research object,using the plane target calibration method to calibrate the internal and external parameters of the camera,build the plug-in system to capture the parametric model.For plug-in system function requirements,completed the hardware selection and development of workflow and host computer control interface design.Aiming at the accuracy of the color recognition and the accuracy of visual positioning in the process of plugging,the color histogram-based color recognition algorithm and the visual positioning algorithm based on Harris corner detection are studied.The obtained color information and coordinate information are used as SCARA robot Control system input parameters.The Visual Studio 2012 software as the development platform,the use of Open CV library functions to develop color recognition and visual positioning of the visual algorithm to achieve the two basic functions of color recognition and visual positioning.The built-in plug-in system platform test,verify the color accuracy of the insurance and visual positioning accuracy.The color recognition algorithm can rapidly identify the color of the work piece in the fuse within 30 ms and the accuracy rate reaches 100%.The visual positioning algorithm can quickly locate the actual clamping coordinates of the robot end the errors in the x,y and z directions are all less than 1.5mm,so that the precise clamping of the workpiece by the mechanical jaws can be achieved and the precision,speediness and accuracy required for clamping the workpiece in general industrial production are satisfied.