Supporting work style reform! Introducing a case study of implementing license plate number recognition.
At a major automobile parts manufacturer, there was a significant discrepancy between the card readings at the time of clocking in and out and the actual working (clock-out) times. To address this, they adopted license plate recognition technology that has greatly improved recognition rates through AI technology. The recognition rate for clean and undistorted license plates is between 97% and 98%, which was deemed sufficient for this purpose as it is not intended for security purposes. 【Case Overview】 <Challenges Before Implementation> ■ There was a significant discrepancy between the card readings at the time of clocking in and out and the actual working (clock-out) times. <Deciding Factors for Implementation> ■ Adoption of license plate recognition technology that has greatly improved recognition rates through AI technology. ■ The recognition rate for normal license plates is between 97% and 98%, which was deemed sufficient for this purpose as it is not intended for security purposes. *For more details, please refer to the PDF document or feel free to contact us.
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【Other Case Summary】 ■Implementing Company: Major Automotive Parts Manufacturer ■Operation Start: May 2022 *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
Company information
Our company is based in Toyama City, Toyama Prefecture, and as a solution service provider for information, communication, and control, we offer various systems to the local community, primarily serving the three Hokuriku prefectures of Toyama, Ishikawa, and Fukui.
