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3D random bin picking is a challenging area in manufacturing industries that has perplexed engineers for years.
To meet this challenge, Canon has aimed for and created a solution that utilizes Canon's leading optical and processing technologies. The installation is simple, yet the system is sophisticated. It automatically recognizes parts, determines the best pick candidate, and calculates the most optimal path so that the robot can safely, but surely, pick up the part and move it to its desired destination. It is a complete solution for random bin picking on any production floor.
Canon’s advanced 3D Machine Vision guides a robot to pick and place resin molded printer parts which are randomly piled in mass production line.
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Incorporating the Machine Vision system into your production line is easy. Setup is simple with the use of user-friendly software. Simply dump the parts into a bin and hit the start button. The system will search for the best pick candidate from the pile based on your application. Your robot, fully integrated with Canon's Machine Vision system, then automatically picks the part and places it, getting you ready for the next process with ease.








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Car Door Panel
1.4x1.7m/4.6x5.6ft


Metal Plate
Use HDR* for easy recognition of glossy parts

Lid
3mm/0.12in
Use "Recognize as Thin Work” capable of 4mm/0.16in or less (RV300)

Hexagon Bolt
320mm x Φ 16mm

Cable Clamp
24mm/0.9in Width
Minimum size 10x10mm/0.39x0.39in
(RV300)
*HDR is High Dynamic Range
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Using a single captured image, this option enables position and orientation recognition of work pieces piled in multiple pallets.
This option enables consecutive recognition upon confirming that the pile state remains unchanged after each work piece has been picked.
This option enables the creation of dictionaries, required for the recognition of new work pieces, on a PC other than the PC connected to the 3-D Machine Vision Head.
Using partial CAD data, this option enables recognition of parts even for large work pieces that extend beyond the measurement range.
This option enables measurements from multiple locations by moving a slider-equipped 3-D Machine Vision Head.
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RV Series |
RV300
|
RV500
|
RV1100
|
RV1100+ Option
|
Measurement area H x W x D |
340 x 340 x 100 mm (13.4” x 13.4” x 3.9”) |
540 x 540 x 200 mm (21.3” x 21.3” x 7.9”) |
1160 x 1160 x 600 mm (45.7” x 45.7” x 23.6”) |
See the red framed trapezoid area. |
Minimum recognizable part size |
10 × 10 mm (0.39” x 0.39”) |
20 × 20 mm (0.79” x 0.79”) |
45 × 45 mm (1.77” x 1.77”) |
50 × 50 mm (1.97” x 1.97”) |
Recognition time * |
1.8 sec | 1.8 sec | 2.5 sec | 2.5 sec |
Dimension of 3D Machine Vision Head |
252 x 206 x 129 mm (9.9” x 8.1” x 4.9”) | |||
Weight of 3D Machine Vision Head |
6.5 kg (14.3 lb) | |||
IP Rating
|
Equivalent to IP54 | |||
Operating Temperature
|
0 – 45°C (32 – 113°F) |
* The time is measured by using an eyebolt M30 for RV1100, an eyebolt M12 for RV500 and an eyebolt M8 for RV300 as a target work, and setting the default measurement modes and the default recognition parameters. (Measurement period may vary depending on target work, measurement modes and recognition parameters.)
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Introduction to Robotic Bin Picking: Safer and Self-Sufficient Solutions
July 29th, Wednesday
2PM ET (1PM CT)
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How to Create a Self-Sufficient and Cost-Effective Bin Picking System from Scratch
July 30th, Thursday
1PM ET (12PM CT)
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