| Summary: | 碩士 === 大葉大學 === 資訊管理學系碩士在職專班 === 93 === With the growth in economy, the percentage of people in Taiwan owning personal vehicles is increasing every year. The development of parking lots is unable to cope with this, Parking problems has become severe. The current parking lots manage the incoming and outgoing vehicles at the entrances and exits, charging cars at these specific points. This type of management causes long queues at these points. The way to improve the management of the parking becomes an important researching thesis.
In addition to the congestion problems for entering and exiting parking lots, traditional ticketing methods require employee training, work schedule arrangement, employee payments, and other human costs, and may still have concerns over management reliability. As for ticketing employees, long hours of repetitive work may result in increasing error percentage in the long-term. Hence, automatic management is the most expected problem solution. Furthermore, parking lots often have clients with different clearance levels, requiring different entrance methods to satisfy the different wait-times and privacy protections of different clearance level clients.
The vehicle licence plate is unique, like the personal identification. If this trait can be used along with fast processing computers for image analysis, it can solve many current management problems in parking lots, and manage clients of different unique clearance levels. Thus this thesis hopes to discuss the use of the image analysis techniques on parking lot applications in reducing queuing time at parking lot entrances and exits, and helping to elevate management efficiency.
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