Development of blind spot warning system for heavy vehicles using microcontroller

Indran, Larkesh Nair (2021) Development of blind spot warning system for heavy vehicles using microcontroller. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

A blind spot has been difficult and is a major concern for a driver neither for a car driver nor for a heavy good vehicle (HGV) driver. Generally, a blind spot is an invisible area for the drivers to glance at any vehicle or object. In Malaysia, statistic shows that the accidents occurred between HGVs and other vehicles or pedestrians or cyclists are due to the blind spot zone. Therefore, there are several blind spot detection systems and warning systems have been proposed to alert the HGV drivers of the presence of other road users in their surroundings. This paper proposes a low-cost warning system of a front view on the left and right corners of the HGV’s blind spot area. This project utilizes Arduino Nano as a microcontroller to control the actions of a device, ultrasonic sensors to detect an obstruction in the specified blind spot area, DF player module for Arduino, which generate voice audio. This Audio sound player gives a precise calculated distance audio where helps the driver to understand the obstacle range in the blind spot of the HGV’s. To support the driver capable to avoid the vehicle from the blind spot, the driver able to access the BLYNK application in their own Smart Phone to perceive the obstacle. The purpose of adding this application of giving a live feed, where the driver has troublesome to visual the obstacle. Based on the experiment conducted the result of it helps to analysis the precision and data to analyses the blind spot area. The warning system from the Ultrasonic sensor and ESP32CAM able to give the driver an early triggered and prepared driving on the blind spot zone. Thus, this project implies both warning and action plan for the HGV’s driver to avoid collision and securing road safety.

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