Piece Picking 

Robotic piece picking is the process of automated order fulfillment, picking various individual items (SKUs) from an inventory bin and place them in an order container for shipping to customers. The choice of the vision system and, in particular, the 3D camera impacts the robot’s ability to successfully detectpick, and place all types of pieces.

Zivid Piece Picking
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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 SKUs.
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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.
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Place
Zivid Two with its groundbreaking trueness, enables more demanding place operations. Dimensioning of objects, and placing for packaging with known position and orientation, with minimal gaps and tight fit, and without colliding or damaging the objects.
Work faster. Zivid Two delivers significantly higher quality at much faster speeds than typical stereo 3D cameras used in piece picking today. Capture speeds <100ms for low to medium dynamic range scenes of some typical piece picking items.
Challenges & Solutions
Piece picking is still a challenge for robots, the detection and picking of unknown SKUs of various shapes, sizes and materials is still one of the biggest problems in logistics. Unpickable objects goes under many terms, such as “uglies” or “pathologicals”, and the difficulty stems from the inherent uncertainty in physics, perception, and control.
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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.
 
  • Distinguish features smaller than 5mm for reliable object recognition and separation of boundaries for picking.
  • Very small, thin, porous, deformable, or highly irregular objects. Densely stacked with little gap or randomly arranged and piled on top of each other.
  • Low occlusion with almost no shadowing contrary to bigger baseline cameras that can potentially miss smaller objects hidden by shadows in the bin, e.g. close to corners and edges.

See shiny, reflective, glossy, and plastic wrapped objects.

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 plastic, aluminum, ceramics, cosmetics, glossy packaging, translucent, semitransparent, and plastic wrapped items.
  • Avoiding artifacts from the highly reflective plastic bins often used in logistics.
  • Capture speeds < 300 ms for high dynamic range scenes such as shiny and reflective
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See a wide variety of objects.

The unique combination of native color and high dynamic range enables imaging of a broad range of SKUs

  • Plastic, ceramic, metal, cardboard, wood, colored, textured, light, dark and absorptive. Single or mixed SKU bin scenarios.
  • Non-laser based white light for broad material coverage and native color capabilities.
  • 2D and 3D data from the same sensor.
  • Capture speeds < 300 ms for high dynamic range scenes, including shiny and dark absorptive.
Mech-Mind Piece Picking
Our solution enables robots to accurately pick various individual items (SKUs) from an inventory bin and place them into an order container. Robots, equipped with 3D vision, can handle a broad range of items ( including cartons, boxes, poly bags, transparent packages, etc.) with ease.
Core Advantages
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High Cost-Effectiveness

The price is only half to one-third of the same type of typical products.

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Powerful Algorithms

Built-in AI algorithms enable robots quickly and accurately recognize objects of random sizes and shapes (including cartons, boxes, bags, etc.) without registration.

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Intelligent Path Planning

The built-in path planning algorithm guarantees the movement of robots is precise and collision-free.

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Plug and Play, Easy to Use

A visualized interface can simulate the robots' movement with only one click.

The code-free programming enables a low threshold for operators to deploy.

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Seamless Integration with the WMS System

 
Seamless integration with the WMS system allows robots to pick up goods on demand.

Specification
Speed

Up to 1200 pieces/hour for small objects

Up to 800 pieces/hour for large objects

Objects
Support objects in different sizes and shapes (cartons, boxes, bags, sacks, various express parcels, etc.). 
Robot BrandsCan be adapted to various mainstream robot brands, such as ABB, KUKA, YASKAWA, Kawasaki, Rokae, Peitian, Techman, Estun, etc.
CalibrationSelf-calibration
Service

Personalized solution;

Staff training;

Fixture design.

Intelligent Planning Algorithm
 
Mech-Vision Graphical Machine Vision Software
 
Mech-Vision simplifies all codes into steps, and users can edit algorithms without writing any codes.
It can support users to develop customized algorithms and independently deploy multiple typical applications.
 
Mech-Viz Interface
 

One-click simulation on the left side of the software. Users can intuitively see the robot's motion path, recognition results and collision model.

The right side is the robot operation process, which is easy to learn to operate.

Different from traditional code-based programming software, Mech-Viz is a graphical and visualized programming environment.

Built-in path planning, collision detection, and grasping strategy, and other intelligent algorithms help the robot plan the optimal route and avoid collision.

With Mech-Viz, users can manipulate robots after simple training.

Our solutions can be adapted to various mainstream robot brands.

Camera Introduction

Point Cloud
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Tightly-Packed Sacks with Patterns
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Randomly-Piled Goods
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Randomly-piled Commodities
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