Helmet&Vehicle Number Plate Recognition With Transfomer-Based Realtime Yolo Deep Learning
DOI:
https://doi.org/10.48047/ytz91512Keywords:
Smart Retail, Inventory Monitoring, Internet of Things (IoT), Load Cell Sensors, Arduino Uno, Real-Time Tracking, Wireless Communication, Cloud Integration, Automation, Embedded Systems, Retail Management, Stock Monitoring System.Abstract
Road safety continues to be a major concern, especially in regions with a high number of two-wheeler users. One of the most common and dangerous traffic violations is riding without a helmet, which significantly increases the risk of severe injuries and fatalities during accidents. Traditional methods of monitoring such violations rely heavily on manual surveillance, which is time consuming, inefficient, and prone to human error.
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