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ジェイエイアイコーポレーション

number of employees50
addressKanagawa/Kanagawa-ku, Yokohama-shi/10-35 Eimachi, Portside Dia Building
phone045-440-0154
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last updated:Oct 14, 2026
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自動車製造検査 自動車製造検査
ウェブ・表面検査 ウェブ・表面検査
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Case Study: "High-Precision Color Measurement Using Two Filter Wheels"

Introducing the technical advantages of the MSC 8X8 multispectral camera and other factors supporting JAI!

PANOVOTEC GmbH has developed a new type of photometric analysis system that offers high resolution and short measurement times. By using two filter wheels, it is now possible to combine color filters, allowing for the acquisition of even more color information. This document introduces high-precision color measurement using two filter wheels. We invite you to read it. 【Contents (partial)】 ■ About the MSC 8X8 Multispectral Camera ■ Animated illustration displaying the filter wheels ■ Technical advantages and other factors supporting JAI ■ Introduction to JAI's Spark series "CMOS Cameras" *For more details, please refer to the PDF document or feel free to contact us.

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[GOX Series Use Case] Rimburgs

An inspection system has been introduced to confirm that the thermal pad adhered to the aluminum heat sink is installed in the designated position!

We would like to introduce a case where Rimburgs implemented our "GOX-5103C-PGE CMOS Color Camera" to verify whether the thermal pad is adhered to the correct position on the aluminum heat sink. Quality control of electronic components is extremely challenging due to the very small size of the inspection targets, the mass production of these components, and the need to conduct inspections relatively quickly for production efficiency. To address this, the company adopted JAI's GOX-5103C-PGE CMOS Color Camera for this application to confirm the position of the thermal pad, achieving the necessary image quality with a resolution of 5.01 megapixels and a global shutter. 【Case Overview】 ■Challenges - Quality control of electronic components is extremely difficult. - Accurate defect inspection becomes impossible due to light reflection. ■Solutions - Achieved the necessary image quality with a resolution of 5.01 megapixels and a global shutter. - Enabled imaging with appropriate image quality. *For more details, please download the PDF or feel free to contact us.

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Introduction of JAI Go-X camera wafer inspection

Provide flexible options for applications that require the addition of inspection tasks in the operation of the system for users!

In the manufacturing of electronic components, accurate processing is a prerequisite for producing defect-free products. Leader Vision, based in Taiwan and engaged in system design for custom projects as a machine vision distributor, has developed a wafer OCR (Optical Character Recognition) system using JAI cameras for one of the major semiconductor foundries in Taiwan to ensure stable wafer production. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

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[Case Study of 45 Megapixel Camera] PANOVOTEC GmbH

Introducing examples of cases where precision color measurement systems have been adopted!

This is a case where PANOVOTEC GmbH has implemented our "SP-45000-CXP4 camera" into a high-precision color measurement system. The company has developed a system that can verify chromatic coordinates, luminance, and optical uniformity, and has successfully implemented it. The latest system equipped with JAI's SP-45001-CXP4 camera demonstrates excellent performance in color measurement and analysis. This CMOS camera, part of JAI's Spark series, features an extremely high resolution of 45 megapixels and a high bit depth of 14 bits, and can operate in HDR (High Dynamic Range) mode. [Case Overview] ■ Challenge: It must meet strict specifications to satisfy the industry's demanding requirements. ■ Solution: - Capable of determining values such as luminance, dominant wavelength, and color position. - Suitable for both inline use in continuous production factories and offline use in laboratories or random sample testing. *For more details, please download the PDF or feel free to contact us.

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[Go Series Case Study] Aristurtle

Identify corn in any weather! Introducing a case that has been thoroughly prepared to withstand continuous use during the tournament period.

We would like to introduce a case where Aristurtle has implemented our Go series cameras to work on the development of a fully autonomous system. In autonomous vehicle racing, the most critical technology that determines success is machine vision. Fully autonomous racing cars, which do not have drivers, require advanced and efficient machine vision hardware and software to understand track limitations and road conditions. The company selected two JAI Go series cameras and installed them diagonally under the main hoop of the autonomous racing car "Thetis." Both cameras are used to provide image data to a neural network model for object detection. [Case Overview] ■ Challenge: Identify cones in any weather while maintaining high-resolution image quality transferred to machine learning algorithms. ■ Benefits: - Gained advantages of lightweight and compact size when integrating into the racing vehicle. - Ensured top-level image quality with appropriate focal length and field of view. *For more details, please download the PDF or feel free to contact us.

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Precise sorting of agricultural products using a prism camera.

You can achieve images with superior color accuracy and sharp details!

In sorting tasks for cotton, tobacco, broccoli, and other items, it is often difficult for the human eye or conventional cameras to reliably detect foreign objects with similar colors, identify subtle quality differences, or keep up with high-speed production lines. Here, we present three examples where advanced prism camera technology has solved these challenges. *For detailed information on the cases, please refer to the related links. For more information, you can download the PDF or feel free to contact us.*

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