In the process of pL micro-volume adhesive distribution,the itinerary of the transfer needle is repetitive,and the work is inefficient.To solve this problem,machine vision and improved GA-ACO algorithm were used to plan the path quickly and accurately,and improve the efficiency.The experimental platform of micro-volume adhesive distribution was built which consisted machine vision system,adhesive distribution system and drive control system.The location information of the fixed point on the acquired image was got-ten by template matching.The path planning of micro-volume adhesive distribution was completed.Finally,the performance of the de-signed algorithm was compared with common algorithms.The results show that based on machine vision and improved GA-ACO algo-rithm,the volume of transfer adhesive reaches the pL level;the average diameter of the adhesive is 68.6 μm,and the adhesive falls ex-actly at the preset point;the itinerary of the transfer needle is cut by 67.9％,the working time is reduced drastically.It can improve the efficiency of pL micro-volume adhesive distribution significantly.
维普
万方数据