Magnesia calcium brick loading and unloading automation case

携手集成商

构建全行业场景应用创新

Industry
Project background

The traditional manual loading and unloading of magnesia-calcium brick faces challenges including high labor intensity, low production efficiency, safety risks and difficulty in quality control. Manual operation is difficult to ensure the accuracy and consistency of loading and unloading, which is easy to lead to low production efficiency and product quality fluctuations. At the same time, manual handling is difficult to adapt to the expansion of production scale and the needs of product diversification.

Project highlights

  • 01
    High precision positioning

    The recognition accuracy of the system reaches ±2mm, and the grasping accuracy of the robot is ±5mm, which ensures the high accuracy of the loading and unloading process, reduces the error and scrap rate in the production, and directly improves the quality and consistency of the product.

  • 02
    Ultra-fast response

    Taking pictures takes about 2.8 seconds, and the algorithm processing time is about 3 seconds, which means that the system can complete the identification and positioning of the workpiece in a short time, speeding up the production rhythm and improving the overall production efficiency.

  • 03
    Strong environmental adaptability

    The 3D vision system has excellent resistance to ambient light interference performance, and can operate stably in changeable industrial environments, including dust, vibration, humidity, high temperature and other harsh conditions, to ensure the continuity and stability of production.

3D Vision Guidance Platform

Focused on 3D vision guidance for robot arms

Consult Now
Phone: 4000-191-161
Email: marketing@qianyi.ai
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