Machine tending

Machine tending is the process of loading and unloading parts into machines using industrial or collaborative robots. The choice of the vision system and, in particular, the 3D camera impacts the robot’s ability to successfully detect the target objects, pick them accurately and place them correctly at the desired processing location.

Zivid Two Machine Tending 
Some machine tending scenarios require inserting or fitting industrial objects like cylinders into a feeding hole or similar, or arrange them in a fixture in a uniform way. This can be difficult to achieve without a high accuracy vision system due to tight tolerances and high accuracy required for both the picking task and placing task.
Zivid Two's high resolution and quality 3D data, combined with true to reality representation of object size, rotation, and absolute position in relation to the robot coordinate system, makes it an excellent fit for machine tending scenarios. Achieve reliable detection of object boundaries and orientations for grasp planning, more accurate picking, avoiding mispicks and crashes, and more accurate placing, without colliding or damaging the parts.



Mech-Mind Machine Tending
Our intelligent machine tending solution enables robots to quickly detect the most challenging parts that are in various sizes and shapes, accurately pick them, and stably place them at their designated locations. 
Core Advantages
High Cost-Effectiveness

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

Robust Recognition

Recognize densely stacked shiny, polished, reflective parts with ease.

Intelligent Path Planning

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

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.

Single cycle time can reach 3s
Support objects in different sizes and shapes (including randomly stacked tiny objects, complex-structured metal parts with dark or shiny surfaces, etc.)
Robot Brands
Can be adapted to various mainstream robot brands, such as ABB, KUKA, YASKAWA, Kawasaki, Rokae, Peitian, Techman, Estun, etc.

Personalized solution;

Staff training;

Fixture design.

Intelligent Planning Algorithm
Intelligent Grasping Strategy 

The intelligent grasping strategy guides the robot to accurately pick up objects. The picking success rate is > 99%.

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 visual programming environment.

Built-in intelligent algorithms such as path planning, collision monitoring, and picking planning can 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
Randomly-Placed Metal Parts (Rotors)
Randomly-Placed Metal Parts (Rotors)
Structural Parts
Structural Parts
Parts with Considerably Reflective or Dark Surfaces
Parts with Considerably Reflective or Dark Surfaces
Objects with Dark Surfaces
Randomly-Stacked Wire Harnesses
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