Summary: | 碩士 === 國立臺灣科技大學 === 資訊管理系 === 107 === Today, with the maturity of the Internet of Things technology, the information generated by parking activities in several counties and cities of Taiwan has become an important resource for traffic management systems.Currently, the wisdom of off-road parking lots in Taiwan, such as license plate recognition, RFID reading, parking space detection, parking space guidance, parking fund management and connection in series of payment of flow of gold, have reached their expiration and have been replaced gradually The parking administration staff invested in the project; however, road parking in Taiwan is still in the manual billing stage. Today, when the Internet of Things technology is maturing, the intelligent technology of related applications in off-street parking lots should also be applied to the on-street parking bill. In this way, when the management of the street parking bill is smart, it can improve the parking charges on the street, the administration efficiency, also solve the shortage of current labor in Taiwan.
In this study, an integrated automatic parking billing system is completed with a photo surveillance lens combined with image motion detection combined with license plate image recognition. The recommendation for the parking space is to use the instant vacancy data to integrate the owner's parking space to the parking destination radius, to help him find the parking space that meets the owner's time and location, and to actively allocate parking space informations. Besides, the system will not provide a paper of parking ticket after the system opens automatically, so the system will provide a multiple payment mechanism for the owner can pay through different forms such as electronic payment, mobile payment, automatic deduction , payment through the supermarkets etc., after leaving the parking space.
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