THE PARKING LOT MANAGEMENT SYSTEM WITH RECOGNIZING A LICENSE PLATE NUMBER AUTOMATICALLY

The parking lot management system described in this paper has been developed to realize the new management system of the parking lots according to the high information-oriented society. The most remarkable feature of this intelligent parking system is that it uses automatic recognition of a license plate instead of the usual parking ticket to identify the vehicle. At first, the camera mounted in the IN/OUT gate takes a picture of the vehicle license plate. The picture is automatically analyzed as digital image data and the license plate data is converted by this system to characters. In this way it is possible to improve several kinds of services, such as convenience for parking lot users, shortening delays when a vehicle passes the IN/OUT gate, and the high level of security. This paper is an investigation report for the effectiveness and the problem of this system through a case study of utilization in the large and complicated building. As a result of measurement, the recognition rate is 99.2 percent, the IN time is 5.54 seconds, and the OUT time is 6.12 seconds. Both the IN/OUT times of an ordinary ticketing are about twice as long as the time of this system. In addition, the results of the investigation and a questionnaire survey reveal that a big contribution toward the convenience of the parking user is apparent. As a problem to be solved in the future, the recognition rate must be improved and the HIRAGANA and KANJI characters must be recognized.

  • Supplemental Notes:
    • Five volumes of papers and one volume of abstracts comprise the published set of conference materials.
  • Corporate Authors:

    VERTIS

    TORANOMOM 34 MORI BUILDING 1-25-5
    TORANOMON, MINATOKU, TOKYO 105  Japan 
  • Authors:
    • IMAI, T
  • Conference:
  • Publication Date: 1995-11

Language

  • English

Media Info

  • Pagination: p. 873

Subject/Index Terms

Filing Info

  • Accession Number: 00722006
  • Record Type: Publication
  • Report/Paper Numbers: Volume 2
  • Files: TRIS
  • Created Date: Jun 22 1996 12:00AM