3D vision

The 3D manipulator is an automated device that can imitate human arm movements and has high flexibility and adaptability. This program aims to design a 3D manipulator with high precision, fast response and strong load capacity to meet the needs of complex industrial application scenarios. The manipulator will achieve excellent performance through optimized mechanical structure design, electrical control system design and software algorithm design.

Core advantage
High precision

3D visual recognition, with a maximum accuracy of 0.024mm, solves the problem of inaccurate positioning of three-dimensional irregular materials and achieves a high positioning and grabbing rate.

high efficiency

The cycle time is short and the beat is fast, which can be used in the manufacturing process to save a lot of costs and manufacturing time.

High precision

3D visual recognition, with a maximum accuracy of 0.024mm, solves the problem of inaccurate positioning of three-dimensional irregular materials and achieves a high positioning and grabbing rate.

high efficiency

The cycle time is short and the beat is fast, which can be used in the manufacturing process to save a lot of costs and manufacturing time.

route plan

AI analysis algorithm + optimal grabbing path planning + anti-collision design.

High flexibility

Real-time motion planning, CAD model import, and optional end actuator can quickly adapt to the needs of multi-type and multi-material workpieces.

System structure
visual system
· • 3D industrial cameras • Image processing software
Crawl system
· •Robotic arm •Robotic arm control software
·
Application scenario
3D disordered grabbing

Based on artificial intelligence deep learning technology, this system can accurately identify the front and back of the workpiece.

01
Random sorting of complex-shaped workpieces

With the help of 2D image recognition function and 3D camera, the robotic arm can grasp complex-shaped workpieces.

02
High speed character recognition

High-speed deformed character recognition is achieved through deep learning algorithms and a small amount of sample training

03
Automatic loading and unloading

Based on 3D vision and robots, it realizes fully automatic loading and unloading of workpieces on 4 sets of lathes, greatly reducing labor costs.

04
Random sorting of different workpieces

By using Shengheng 3D solutions, the robotic arm was trained to grab and sort two different workpieces.

05
Warehousing and transportation

The AGV is mounted on a 3D solution to identify material boxes and carry the materials to designated workstations. Through deep learning algorithms and 3D cameras, it can distinguish small packaging boxes with subtle color differences and sort them into different areas.

06
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