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  6. HALCON Deep Learning Object Detection

HALCON Deep Learning Object Detection

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last updated:Sep 06, 2024

南久 本社
南久 本社
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AI detection of the position and rotation angle of inspection targets using HALCON DL object detection is possible for electronic components and food-related picking.

Using HALCON deep learning object detection, we can instantly AI-detect the classification of electronic components, their positions, and rotation angles. By combining this with robots, picking tasks become possible. It can be used for AI picking in food and automotive parts.

    Other resource recycling
オブジェクト検出画面.jpg

HALCON Deep Learning Object Detection

オブジェクト検出画面.jpg
オブジェクト検出画面.jpg
  • Related Link - https://www.youtube.com/watch?v=AGy8q17Ao84

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basic information

Using HALCON DL Camera: Basler camera Lighting: CCS manufactured Robot: Mitsubishi Electric manufactured, Denso manufactured

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※The delivery time may vary depending on the quantity, so please feel free to contact us.

Applications/Examples of results

Picking foreign objects (stones, ceramics) inside the glass (cullet) using a robot.

Detailed information

  • オブジェクト検出画面.jpg

    Extracting the position coordinates and rotation angles of electronic components.

Company information

南久

南久 本社

Facility Design Office

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In the Vision & Robot System Development Department, we develop vision systems for robot systems and robot system development. We are involved in the development of optical sorting machines for recycling companies, automotive parts manufacturers, and food manufacturers, as well as the development of appearance inspection systems for automotive parts manufacturers. Our areas of expertise include optical automatic sorting machines, high-speed image processing, AI (deep learning) image processing, appearance inspection of metal parts, and PLC control design. We also develop and design automatic sorting inspection equipment using robots from scratch. For customers considering equipment automation within their factories, we provide automatic sorting machines, control panel design for equipment, robot implementation, and vision system implementation. 1. We primarily use KEYENCE, HALCON, and HALCON DL for image processing. We also support other image processing systems, including MERLIC. 2. For PLCs, we mainly use KEYENCE and Mitsubishi Electric products (we also handle other brands of PLCs) and utilize Beckhoff's TwinCAT 3. 3. We use robots from Denso Wave and Mitsubishi Electric. 4. For cameras, we use color/monochrome area cameras and line scan cameras, including Basler cameras, JAI UV cameras, JAI prism spectroscopic cameras, and KEYENCE cameras.

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