Helmet and Number Plate Detection for Image Using YOLO V7

 

YEAR : 2023

 

Description

In today’s world, the increasing use of Motorcycles has prompted increment in road accidents and injuries. Helmet not used by the motorcycle rider is one of the major cause. Currently, one procedure is to physically check use of helmet at the pavement junction or through the CCTV footage video, which requires human intervention to detect motorcyclists without helmet. The proposed framework presents a computerization machine structure to distinguish the motorcycle rider with or without helmet from images. And these process will be executed with YOLO v7 modules.

ADDITIONAL INFORMATION

HARDWARE REQUIREMENTS

Hard Disk : 500GB and above
RAM : 4GB and above
Processor : I3 and above

SOFTWARE REQUIREMENTS

Operating System : Windows 10 (64 bit)
Software : Python 3.9
Tools : Anaconda

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