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Business：info@mech-mind.net

In today’s world of technology, facilities are automating various processes to enhance their efficiency and reliability. Machine tending is one process that has seen a radical change in technology adoption.

Mech-Eye Industrial 3D Cameras

High resolution & high accuracy & detail-rich 3D images of a wide variety of objects
Mech-Eye 3D Laser Profilers

Mech-Eye LNX 3D laser profilers feature 4K+ resolution* and high scan rates (up to 15 kHz*) to deliver highly accurate 3D data of tiny features and defects at a faster speed. These sensors are designed for industrial measurement and inspection applications in electronics, EV battery, and automotive industries.
Mech-Vision Machine Vision Software

Industry-leading machine vision software for the most challenging vision applications
Mech-Viz Robot Programming Software

Designed to enable demanding automation tasks, including robotic bin picking, piece picking, depalletizing and palletizing, etc.
Mech-DLK Deep Learning Software

Versatile and easy-to-use deep learning software solves complex applications like overlapping object recognition and classification, high-precision measurement, etc.
Mech-MSR 3D Measurement and Inspection Software

Intuitive, AI-powered software for rapid, high-precision 2D/3D inspection and measurement
Embodied Intelligence "Eye-Brain-Hand" Robot Station

One-stop embodied intelligence robot station integrating Mech-Eye, Mech-GPT and Mech-Hand—delivering powerful perception, understanding, manipulation and strong generalization across robots and scenarios

Depalletizing and Palletizing

Intelligent robotic depalletizing and palletizing solutions are widely used in manufacturing, distribution, and fulfillment applications. Robots guided by the 3D vision system can automatically execute palletizing and depalletizing while maintaining excellent stability and high speed.
Machine Tending

Mech-Mind's 3D vision-guided machine tending solution enables robots to quickly detect the most challenging parts of various sizes and shapes, accurately pick them, and stably place them at designated locations.
Piece Picking

Mech-Mind 3D vision solution enables robots to accurately pick various individual items (SKUs) from an inventory bin and place them into an order container. Robots, guided by 3D vision system, can handle a wide variety of items (including cartons, boxes, poly bags, transparent packages, etc.) with ease.
Bin Picking

Guided by Mech-Mind 3D vision system, robots can recognize randomly-piled materials, even those with dark or reflective surfaces and complex structures, and then pick them up from deep bins accurately without damaging the components.
Localization and Assembly

Mech-Mind 3D vision system enables robots to manage complex assembly, localization, and other automation tasks with high accuracy and remarkable dexterity.
Inline Measurement

Mech-Mind's inline 3D measurement system delivers high-performance 3D measurement solutions for various manufacturing processes in the automotive and new energy industries, including body-in-white manufacturing, automotive component inspection, and battery tray manufacturing.

Choosing the Right 3D Laser Profiler for Quality Inspections in Manufacturing

Find the best 3D laser profiler for manufacturing quality inspections. Compare features, accuracy, and applications to enhance your production process!

2024 . 06 . 10

How to get optimal results when 3D scanning dark and reflective objects?

Struggling to scan dark or reflective objects? Discover expert 3D scanning techniques to capture precise details and improve accuracy!

2024 . 04 . 11

What is Automated Material Handling?

Discover how automated material handling enhances efficiency, reduces costs, and improves logistics operations with smart robotics solutions!

2024 . 02 . 21

Machine Vision vs. Computer Vision: Differences and Relations

Machine vision and computer vision are two names of the same branch of signal processing science. The difference between the two is based on what they do, and how they can transform your business.

2023 . 11 . 20

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