The main objective of this project is to develop a hybrid model for a vehicle overload detection system using Arduino sensors, combining multiple sensor technologies to accurately identify and alert against overloading in vehicles, thereby enhancing road safety and compliance with weight regulations
Effective management of vehicle loads is vital for road safety, and this project introduces a novel Hybrid Model for Vehicle Overload Detection System. The system employs a set of components, including an Arduino microcontroller, load cells for precise load measurement, MEMS sensors for accident detection, a DC motor to halt vehicle movement when overloading is detected, an LCD display for data visualization, and a buzzer for immediate alerts.
The Hybrid Model operates by continuously monitoring the load on vehicles using load cells, ensuring that they remain within safe weight limits. In case of overloading, the system promptly triggers the DC motor to stop the vehicle's movement, preventing potential accidents. Additionally, MEMS sensors are used for accident detection, adding an extra layer of safety. Data is displayed on the LCD, providing immediate insights into the vehicle's load condition. A buzzer provides immediate audio alerts to the vehicle operator. This innovative system offers a comprehensive solution for vehicle overload detection and accident prevention, contributing to road safety and efficient transportation. Further research and testing will be essential to validate its effectiveness and refine its features for practical implementation.
Keywords: Arduino, Over load detection, Safety purpose, Alerting purpose, Buzzer
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
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