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3D vision

K2 uses robots equipped with 3D vision technology to achieve 3D scanning and positioning through a 3D vision system, fast set and change the data mode, to achieve the flexible positioning, intelligent analysis of workpiece grabbing priority, quickly and accurately grasp parts from the material frame filled with disordered parts, to meet the production needs of small batch and multiple varieties.

Core advantage
High accuracy

3D visual recognition, the highest accuracy is 0.024mm, solve the problems of 3D irregular material positioning is not accurate, achieve high positioning grasp rate.

High efficiency

Cycle time is quick, can be used in the manufacturing process, save a lot of cost and manufacturing time.

High accuracy

3D visual recognition, the highest accuracy is 0.024mm, solve the problems of 3D irregular material positioning is not accurate, achieve high positioning grasp rate.

High efficiency

Cycle time is quick, can be used in the manufacturing process, save a lot of cost and manufacturing time.

Path planning

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

High flexible

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

System structure
Visual system
· ? Visual system ? Image processing software

No need to set the point position in advance, and the manipulator can be controlled to different point positions in real time by calculation. The vision system recognizes obstacles, and the robot arm bypasses itself Meet flexible production.

Fetching system
· ?Mechanical arm ?Manipulator control software

eal-time motion planning: Flexible grasping of workpiece in material box Avoid collision between manipulator and material box, and avoid collision between end actuator and material box/workpiece The end actuator is optional

·

eal-time motion planning: Flexible grasping of workpiece in material box

Avoid collision between manipulator and material box, and avoid collision between end actuator and material box/workpiece

The end actuator is optional

Application scenario
3D disorder picking

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

01
Random sorting of complex shape workpiece

With 2D image recognition function and 3D camera, the manipulator can grasp the workpiece with complex shape.

02
High speed character recognition

Through the deep learning algorithm and a small number of samples training, the high-speed deformed character recognition is realized

03
Automatic loading and unloading

Based on 3D vision and robot, the workpiece automatic loading and unloading of 4 sets of lathes is realized, and the labor cost is greatly reduced

04
Random sorting of different workpieces

By using the K2 Tech 3D solution, the robotic arm is trained to grasp and sort two different workpieces.

05
Warehousing and transportation

The AGV is installed in a 3D solution to identify and deliver material bins to designated workstations. Using a deep learning algorithm and a 3D camera, it is able to identify small boxes with subtle color differences and sort them into different areas.

06
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