[Case Study of Vehicle Number Authentication] Major Automotive Parts Manufacturer
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.
- Company:NES
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