RV300: Approx. 500~600 mm
RV500: Approx. 800~1,000 mm
RV1100: Approx. 1750~2350 mm
RV1100 with Option 1: 1750~2650
RV300: Up to 340 mm (d) x 340 mm (w) x 100 mm (h)
RV500: Up to 540 mm (d) x 540 mm (w) x 200 mm (h)
RV1100: Up to 1160 mm (d) x1160 mm (w) x 600 mm (h)
RV1100 with Option 2:
Option (width): Up to 1300 mm (d) x1300 mm (w) x 600 mm (h)
Option (height): Up to 1160 mm (d) x1160 mm (w) x 900 mm (h)
Pattern projection method using a projector
Approx. 252 mm x 206 mm x 124 mm
Approx. 6 kg
Yes (Determines whether a pallet is empty or not)
Yes (Measures the positioning of the pallet)
Yes (Checks whether the robotic arm will collide with a part or pallet)
Yes (Conducts calibration between the robot and scanner) 7
Yes (Conducts communications with robot)
Measurement Field Expansion Option applies to RV1100, which has the largest vision field in RV Series.
The measurement field expands by 71.4% compared to that of current RV1100.
It allows to use much larger pallets yet still guarantees accuracy and calibrations within the expanded area.8
Mount the 3D Vision Head onto a slider and enable measurements from multiple spots. Correctly output position and posture (6DOF) for each recognized work with the robot coordinate system at each movement spot that has been pre-registered.
This enables dictionaries to be created on PCs other than the PC connected to the 3D Vision Head.
This enables a reduction in recognition time by placing multiple pallets that have been placed in the same field of view, and taking advantage of the fact that the work in one pallet does not influence other pallets at the time of picking to recognize multiple parts in one capture. This also applies to partitioned pallets that divide one pallet into multiple regions.
This enables a reduction in recognition time by detecting the changed regions and determining that capturing is not required for the next parts recognition when there are works which are able to be grasped outside the changed regions.
This enables a reduction in wrong position and pose recognition by using CAD data of a size that fits in the measurement range or CAD data of only a part with low tolerance, even if the work to be measured is of a size that exceeds the measurement range or of a shape which significantly differs from that of the CAD data.