Sorting: For sorting small light-weight items, such as bagged cookies, metal nuts, medical gauze, etc. It is mainly used for industries like food and beverage, 3C, and packaging to assist the sorting and packaging section of the production line.
Processing: For uninterrupted multi-angle pipeline processing, such as gluing, soldering , appearance inspection, etc. The articulated robot can perform complex multi-angle works which greatly enhanced the operation efficiency.
On the conveyor belt, a machine vision system is installed at the front section and the Delta robot controller MS series is applied to constantly send DO signal to the machine vision system to trigger photo shoot. The conveyor motion is also controlled by the MS series using axis expansion via DMCNET protocol.
4-point learning: Take photo and mark 4 specific points on the inspection region (FOV). Identify the machine vision system coordinates and robot coordinates. Then use the coordinate conversion function to map the 4 specific points with the robot coordinates.
Anti-duplicate counting: When machine vision system detects the object on the conveyor belt and sends OK signal, the feature of this object and coordinates are passed into the robot controller register 101C ~ 105A via the serial port RS232 / RS485 (which can simultaneously store 10 sets of points). Meanwhile, the robot controller MS series starts to record conveyor belt position and calculate the expected coordinates of the next photo shoot and comparing with the coordinates of the actual photo taken. If the difference is less than certain percentage, it is recognize as the same object. Maximum workpiece: up to 100 workpieces can be stored at the register. First detected will first goes into processing zone.