3D recognition
March 28, 2011 | By Mary Del
Motoman’s MotoSight 3D CortexVision is designed to simplify the use of 3D vision in robotic guidance applications. Ideal for machine loading, product sortation and welding applications, the vision solution functions very similar to the human visual process, Motoman explains.
MotoSight 3D CortexVision can learn a large number of objects and recognize any of the identified objects regardless of presentation within the visual field of the camera. Within a second, the vision process can identify the part in front of the camera and where it is located. Even complex parts can be identified and then placed accurately, the company says.
Minimal downtime is required to train new parts due to its simple point-and-click programming interface. New parts can be trained in seconds. No calibration is required due to advanced algorithm and unique recognition of patterns programmed.
Using a single 2D camera (GigE technology), MotoSight 3D CortexVision returns object position information in six degrees of freedom (X, Y, Z, roll, pitch and yaw) without the use of structured lighting. This is an evolutional change in which a single camera can be utilized to provide a 3D solution, the company says, adding that accuracy within +/- 0.5 mm can be achieved with additional inspections.
