Zivid-Two-Machine-Tending-3D-sm

Bin-picking 

Random bin picking is typically at the input stage of a manufacturing process. Instead of traditional static fixtures or pre-filled stacking patterns, a robot is instead emptying a bin bulk-filled with parts for placing on, for example, a feeder, conveyor, or sorter for further processing in the plant. The choice of the vision system and, in particular, the 3D camera impacts the robot’s ability to successfully detect, pick, and place all types of parts.
Learn how to increase the number of pickable parts using our Zivid Two 3D camera - without compromising on speed.

Zivid-Detect

Detect

Zivid Two delivers high resolution and extreme precision, native color 3D point clouds with minimal occlusion, and excellent artifact suppression. Significantly improving object recognition and increasing the number of
detectable parts.

Zivid-Pick

Pick

Zivid Two enables more reliable detection of object boundaries for grasp planning and a true-to-reality representation of object size, rotation, and absolute position in relation to the robot coordinate system. Essential for accurate picking, avoiding mispicks, and crashes.

Zivid-Place

Place

Zivid Two, with its groundbreaking trueness, enables more demanding place operations. Placing or inserting more accurately for further processing, with known position and orientation, without colliding or damaging the parts.

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Work faster. Zivid Two delivers significantly higher quality at faster speeds than typical laser scanners used in bin picking today. Capture speeds <300ms for high dynamic range scenes, including shiny and reflective objects.

Challenges & Solutions

Bin picking is still a challenge for robots. Even at large manufacturers, adoption of bin picking stations is low, and at SMEs the number is still close to zero. Unpickable objects are typically complex-shaped, hard to manipulate, entangled, and/or highly reflective machined or polished metals. The difficulty stems from the inherent uncertainty in physics, perception, and control.

See tiny and detailed objects, densely stacked or randomly arranged.

Zivid Two provides high resolution and precision point clouds with minimal occlusion, capturing shapes and sizes with all the fine details.

  • Very small, thin sheets, highly detailed, and irregular objects.
  • Densely stacked with a little gap or randomly arranged and piled on top of each other.
  • Distinguish features smaller than 5mm for reliable object recognition and separation of boundaries for picking.
Random_metallic

Point cloud example with Zivid Two - Various metallic objects in a bin, typical for industrial bin-picking scenarios. View in 3D HERE 

See shiny, reflective, machined, and polished parts

3D HDR and Artifact Reduction Technology (ART) ensures excellent suppression of imaging artifacts from reflections, interreflections, specular highlights, and high contrast transitions.

  • Shiny and reflective, sheet metal, cylinders, washers, molded, machined, polished, and chrome-plated parts.
  • Capture speeds <300ms for high dynamic range scenes such as shiny and reflective
Shiny objects

Point cloud example with Zivid Two - Highly shiny and reflective, chrome plated, machined and polished parts. View in 3D HERE. 

Experience fewer occlusion outliers 

Zivid Two is ultra-compact with a small baseline and more optimal occlusion performance than larger baseline cameras and scanners. A large baseline gives excessive projector/camera shadowing and loss of scene details, creating holes, and missing data affecting the detection. There's also a risk of missing smaller objects hidden by shadows in the bin, for example, close to corners and edges, especially when picking from smaller boxes.

occlusion

Occlusion by bin edges; left image captured with laser system (large baseline), right image is with Zivid Two. View in 3D HERE. 

If you have other difficult cases in your bin-picking application, contact us and we'll do our best to help out!  

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Customer Stories

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