Face Mask, Road Traffic and License Plate Detection using YOLOv3.pdf (1.8 MB)
Download fileFACE MASK, ROAD TRAFFIC AND LICENSE PLATE DETECTION USING YOLOv3
The growing cases of Covid-19 are a cause of concern all around the world. The major reason for
this pandemic is the carelessness of people. Thus, it is important to look for solutions that help
people in the long run. Wearing a mask is the most efficacious way to solve this problem. Roads
being the most common way of transportation imply need of mask, road traffic and license plate
detection systems and are something that are growing in demand. The detection system would be
able scan people’s faces and detect whether a person is wearing a mask correctly or not, detect
current vehicles on road with their respective license plates. The system uses techniques that
involve deep learning and a YOLOv3 detection model. Deep learning involves the use of neural
networks while YOLOv3 involves detecting objects for a given image. This work involves
inputting an image, video or live video which will lead to detection of mask on a person’s face,
detection of type of road traffic and detection of license plate of the vehicle by drawing a
rectangular box. The project will ultimately make transportation management easier.
History
Email Address of Submitting Author
shreya00garg@gmail.comSubmitting Author's Institution
Maharaja Agrasen Institute of Technology, PSP Area, Sector-22, Rohini, Delhi, 110086Submitting Author's Country
- India