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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.

Vision-Guided Steel Bar Labeling for A Large Steel Plant

Customer Demand

Traditional manual marking requires workers to work in a high dust and noise environment, which can cause some physical damage to them. Traditional solutions do not recognize randomly-piled steel bars with complex structures, and therefore cannot conduct marking accurately.

So the client expects robots to conduct marking quickly, steadily, and accurately, increasing the productivity of their enterprises.

Advantages

Related Solutions

  • Intelligent depalletizing and palletizing solutions are widely used in manufacturing, distribution, and fulfillment applications. Backed by 3D vision, deep learning, and other AI algorithms, the robots can automatically execute palletizing and depalletizing while maintaining excellent stability and fast processing speed.
  • 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.
  • 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.
  • Guided along by the powerful 3D vision system, the 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.
  • Leveraging 3D and several advanced technologies, Mech-Mind provides comprehensive, cost-effective, and easy-to-deploy vision-guided gluing, high-precision locating, and assembly solutions for customers in automotive and manufacturing industry.
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