Integration of vision based image processing for multi-axis CNC machine tool safe and efficient trajectory generation and collision avoidance
Résumé
Demand of high speed production not only increases the complexity of today's CNC process, but also increases the risks and possibility of collision because of the difference between real (machining) and virtual scenes (CAD/CAM process). Idea here is to make this process more intelligent by processing image taken from the real or virtual machine scenes. Identify objects (already known in the CAD database), obtain safe and efficient trajectories that will modify the previous known trajectories from the CAM systems and will be used finally in real machining environments. This work more focuses to improve trajectory generation, collision avoidance and communication in CAD/CAM systems by image processing technique. Safe and Efficient Trajectory (SET) algorithm for point trajectory is discussed along with its extended version for object trajectory known as Rectangular Enveloped object Safe and Efficient Trajectory (RESET) algorithm that will perfectly generate safe un-functional trajectories [3] for multi-axis machine tool envelop. Meanwhile scene objects are detected and identified by image processing tool while trajectory and setup is optimized and improved accordingly in order to avoid collision. This generated trajectory can be used for setup correction before and after production or for "real times/online" production. Finally work has been validated through real and virtual machine scene images.