Automotive Industry | Mech-Mind Robotics

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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, and more.
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, powerful software for high-precision inspection and measurement

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.

Home > Cases > Automotive

3D Vision-Guided Wheel Assembly

Mech-Eye PRO S-GL captures accurate 3D data of reflective wheel hubs and the 3D vision system guides the robot to mount the wheel and torque the lug nuts precisely.

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3D Vision-Guided Machine Tending of Brake Discs

Mech-Eye LSR L-GL captures 3D images and then guides the robot to pick up brake discs and place them on different conveyor lines based on their orientation (front or back).

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3D Vision-Guided Loading of Aluminum Castings

Mech-Eye PRO S-GL, a high-precision structured light 3D camera, incorporates advanced optical elements to meet on-site millimeter-level positioning accuracy requirements.

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Inline Measurement of Bumper Beams

Micron-level accuracy 3D camera delivers high-quality 3D data of complex and reflective features

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3D Vision-Guided Loading of Bearing Inner Rings

The 3D vision system can quickly identify bearing inner rings, distinguish between forward orientation and reverse orientation, guide the robot in accurate picking.

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3D Vision-Guided Sand Core Picking

After the vision system positions the core box, the robot is guided to put the sand core into the core box.

Watch Video

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