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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.
A Construction Machinery Giant

Vision-Guided the Grease Applying for Swing Bearings

Customer Demand

This customer is a private construction machinery giant in China. The swing bearings need to be glued and greased as required, and for every type of swing searing, the gluing and greasing tracks need to be demonstrated, which requires not only mechanical orientation but also tedious manual demonstration. The customer expects to replace manual demonstration with industrial robots and 3D vision.


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 high 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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