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Zivid 2+
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Get Started
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Get Started
Support
Downloads
Customers
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The development of robotics technology and the increasing demand for automation have created market potential for employing bin picking systems in China. Jiangrun, a Shenzhen-based technology firm, focuses on 3D and 2D solutions, aiming to help local Chinese companies improve efficiency and reduce costs. Jiangrun has collaborated with Zivid to develop an AI and 3D technology-integrated bin picking system, which has been successfully applied in multiple manufacturing-related fields.
Jiangrun, through internal testing and customer feedback, has developed an AI+3D integrated bin picking system. This system has three core components: the Zivid 2+ M60 camera, an industrial control computer, and software algorithms. It effectively simplifies the whole process, enhancing capture speed and sorting efficiency.
This AI+3D integrated system is compatible with a wide range of bin picking applications. Jiangrun has further developed its applications to enable use in a wider range of scenarios.
Bin picking requires high accuracy and precision. The 3D calibration accuracy and fast image capture speed are key for us. The Zivid camera has strong performance, significantly simplifying certain application processes”
- Jiangrun, Yaoshu Lu, Sales manager
As robotics technology advances and the demand for automation grows in China, robotic manufacturing reveals significant market potential. More companies are turning to automated solutions.
Shenzhen-based tech company Jiangrun specializes in 3D & 2D solutions and AR-assisted applications to boost efficiency and reduce costs. In partnership with Zivid, they developed an AI and 3D integrated random bin picking system, achieving success in various manufacturing applications.
As a comprehensive solution aimed at addressing customer challenges, development faced challenges like capturing clean point cloud images of reflective objects, handling various shapes of objects, and integrating algorithms with robotic motion control and 3D trajectory guidance. Varying requirements for precision, resolution, and speed across different scenarios added to the complexity. Additionally, different scenarios have varying algorithm requirements, involving differences in precision, detail resolution, and speed.
