Low cost, high performance automatic motorcycle helmet violation detection | |
| Author | Aphinya Chairat |
| Call Number | AIT Thesis no.CS-18-07 |
| Subject(s) | Traffic regulations Pattern recognition systems Machine learning Neural networks (Computer science) |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-18-07 |
| Abstract | Thailand has a very high road fatality rate. The main cause of road fatalities is non-use of motorcycle helmet. Regional and local governments are trying to prevent this problem through law enforcement, but this method requires many police officers. Recently, computer vision and machine learning have developed to the point that we may improve the situation through automated helmet violation ticketing. AIT has a prototype helmet violation detection system, but the prototype needs improvement to have good accuracy. Hence, the main objective of this thesis is to improve the exiting helmet violation system |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis : no. CS-18-07 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Dailey, Matthew N.; |
| Examination Committee(s) | Mongkol Ekpanyapong;Phan Minh Dung; |
| Scholarship Donor(s) | Royal Thai Government Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2018 |