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Robot Vision AI box depare system-AI box depare system
Robot Vision AI box depare system-Micro Technica Co., Ltd.

Robot Vision AI box depare system
Micro Technica Co., Ltd.

Micro Technica Co., Ltd.'s Response Status

Response Rate

100.0%

Response Time

3.5hours

Very Fast Response


About This Product

■AI robot vision for box depalletizing. There is no need for pre-registration or size information, and individual recognition is achieved regardless of the pattern or shape on the top of the box.

Recognizing boxes on pallets and inside cars usually involves pre-registering patterns, etc., and using a two-dimensional classical algorithm that recognizes boxes based on the registered information. With this recognition method, it is necessary to store images for each type of box as master data, and when a new type increases or the design of a box changes, a worker at the distribution center registers the design. There is a need. How many people do this troublesome pre-registration work in their daily work? Our image recognition technology is a new recognition method that eliminates pre-registration as much as possible. case study

■Box Depare AI robot vision (2016-present) Supports random work, can recognize PP bands and transparent tape, and almost all boxes.

Since 2010, our company has been recognizing various boxes using various technical methods, and it is now possible to recognize almost all workpieces in boxes (rectangles) without using pre-registered masters such as patterns. . We combine our conventional technology with DeepLearning to recognize random boxes and perform robot picking. It is possible to recognize even if boxes with various conditions as shown below are mixed together. ・Boxes of different sizes ・Boxes with various colors of sealing tape (including transparent tape) ・Boxes with various surface printing ・Box with PP band wrapped around it ・Box with PP hand wrapped and no tape attached

■Developed a new algorithm (MOP) to recognize boxes for deparations (from 2019) Supports stacking of the same type and layers, no pattern registration required.

A new mathematical optimization (MOP) algorithm has been developed as a recognition algorithm for workpieces that are classified into boxes and rectangles. This box recognition algorithm does not require any information such as the box's pattern. This method uses only box size information and combines mathematical methods and image recognition from 3D and 2D box shapes obtained by a camera to recognize individual boxes, which is highly robust and fast. It is a recognition algorithm suitable for processing. Specifications are subject to change without notice.

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    Robot Vision AI box depare system

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1 Models of Robot Vision AI box depare system

Image Part Number Price (excluding tax) Robot connection Robot calibration Vision unit selection Vision unit configuration Hand interference check PC
Robot Vision AI box depare system-Part Number-AI box depare system

AI box depare system

Available upon quote

Connection via PLC (OMRON/Mitsubishi) *Connection to robot controller is also possible.

Functional (compatible with multiple robot manufacturers)

Choice of fixed camera or hand-eye camera

3D camera, 2D camera, LED lighting, control box, PC

Functional (also supports cage car interference check)

OS: Win10 or higher, CPU: Corei7 or higher, Memory: 16GB or higher, GPU recommended

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About Company Handling This Product

Response Rate

100.0%


Response Time

3.5hrs

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