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.