Automatic toll booth tracker based on deep learning | |
| Author | Krishna, Tumpati Rama |
| Call Number | AIT RSPR no.ICT-22-03 |
| Subject(s) | Deep learning Vehicle detectors |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technologies, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Toll Booths are one of the most common gates passes on any highway. Any vehicle which intends to cross the tollbooth has to pay a small fee. One of the most painful things in a toll road is the huge queue, and a few times the whole process takes longer than usual. With the increase in population across the globe we have so many people traveling now more than ever. As a result, it has become difficult to keep track of the number of vehicles that are present at a given time. Keeping a track on the number of vehicles and their license plates is for security purposes. In this project, we intend to develop a Deep Learning based Toll-Booth-Tracker,which can count the vehicle number at any instance of time and save the license plates for any future use. |
| Year | 2022 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Teerapat Sanguankotchakorn |
| Examination Committee(s) | Poompat Saengudomlert;Dailey, Matthew N. |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship |
| Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2022 |