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At Forks Co., Ltd., we offer a robot vision system called 'VT (Visual Teach)' that allows for teaching with physical objects. It can recognize objects in three dimensions and simultaneously pair the teaching path of the arm. Thanks to high-precision positioning technology, it can accurately reproduce the spatial relationship between the object and the teaching points, enabling speedy work and achieving high precision in reproduction. You can find more details in related products and catalogs.

At Mazda Corporation, a robot equipped with a 3D vision camera (YCAM3D) and 3D vision software (VT: Visual Teach) has been implemented to transfer cranks stacked in a grid pattern. Thanks to the capabilities of VT: Visual Teach, we have achieved the transfer of crankshafts without collisions or gripping failures by accurately determining the robot's gripping position and posture. You can find more details in related products and catalogs.

The "3D Vision Software (VT: Visual Teach)" developed by YOODS Co., Ltd. can easily add a positioning function that automatically corrects the workpiece's positional deviation by simply equipping existing industrial robots with a 3D vision camera and a dedicated controller. Unlike typical vision systems, the control of the robot arm can be done using the traditional teaching playback method with robot language, and the system will correct the deviation of the workpiece from the taught position. Therefore, in the event of any malfunction, there is no need to wait for maintenance personnel from the vision system side, allowing customers to easily restore functionality themselves. You can find more details in related products and catalogs.