We will conduct visual inspection of automotive parts (cylindrical interiors) using AI image processing with HALCON DL via a borescope.
Using a borescope, we will conduct an appearance inspection of automotive parts (cylindrical shapes with diameters of φ3 to φ6 mm) with HALCON DL (Deep Learning) to detect scratches, defects, dents, crimping, and dirt.
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basic information
Camera: Area Camera Lens: Borescope AI will perform visual inspection for an inner diameter inspection of φ3mm.
Price range
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Applications/Examples of results
Currently under development at the request of a certain automotive parts manufacturer.
Company information
In the Vision & Robot System Development Department, we develop vision systems for robotic systems and robotic systems themselves. 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 factory equipment automation, we provide automatic sorting machines, control panel design for equipment, robot implementation, and vision system implementation. 1. We mainly use KEYENCE, HALCON, and HALCON DL for image processing. We also support other image processing solutions, including MERLIC. 2. For PLCs, we primarily use KEYENCE and Mitsubishi Electric products (we also handle other manufacturers' PLCs). 3. We use robots from DENSO WAVE, Mitsubishi Electric, FANUC, and Yamaha Motor. 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.
