| With the rapid development of industrial automation,we live in a more intelligent era,the gradual maturity of machine vision for the traditional industrial production has brought good news,especially the combination of machine vision and automation equipment can provide great help to the production efficiency,safety,stability and economy of the industrial automation industry.Based on this,this topic based on the machine vision technology and the glass bottle transfer system designed in this paper,studied the dynamic grasping transfer process of glass bottles moving in the mesh belt transmission belt.The main contents of this paper are as follows:(1)Mechanical structure design.For the glass bottle to grab,this paper designs a glass bottle grab claw according to the characteristics of the bottle mouth,to avoid in the process of grabbing the glass bottle is not tight,slippage and the glass bottle caused by breaking problems.Based on the same specification can realize the design of glass grasping structure of different heights,at the same time,the glass bottle position adjustable grasping mechanism is designed.When the glass bottle is not arranged neatly,the end actuator can be moved to the position of grasping the bottle mouth by the motor above the transfer system.After the claw grabs the glass bottle,the glass bottle is transferred to the flat top chain transmission belt through the transfer mechanism.(2)Study on image processing and positioning of bottle mouth.Select the corresponding camera and lens according to the requirements of the experiment,and then use Halcon software to calibrate the camera and solve its internal and external parameters.Secondly,a series of image processing are carried out on the collected bottle mouth images,and the edge information of the bottle mouth is obtained by using the Canny operator.Finally,the center coordinates of the bottle mouth are obtained by the algorithm based on Mean Shift bottle mouth location.(3)Analysis of transport system grasping.Firstly,the transfer system,the visual system and the mesh belt conveyor are calibrated jointly.The transfer system can obtain the position of the bottle mouth in real time and realize the accurate grasp of the glass bottle.Aiming at the repeated bottle mouth images taken in continuous frames,an image deweighting algorithm based on time and position is designed.Subsequently,the position of glass bottle grasping,grasping sequence and transfer rate are analyzed,and the feasibility of grasping is verified.(4)Experimental platform construction and experimental verification.The hardware equipment of the experimental platform is introduced,and the stability of grasping claw is verified.At the same time,the glass bottle of the mesh belt transmission belt is grasped.Through the experimental test,the transfer system can grasp the glass bottle stably and accurately,which can meet the needs of the actual production. |