Paper Title
Object Detection Using Machine Learning To Avoid Accidents And Improve Road Safety
Article Identifiers
: Authors
Keywords
object,vehicle,camera,raspberry pi,motor driver, dc motor,ultrasonic sensor,led display
Abstract
At present situation the human beings are going through many accidents during the road way transportation. Simultaneously they lose their life and significant properties in those accidents. Most of the Indian roads in rural and suburbans are not ideal for driving due to faded lanes, irregular potholes, inappropriate and unseen road signs, which caused many accidents, lost lives and caused serious damage to vehicles. The most difficult task is to detect obstacles on the highway. The basic concept is to design a system that has the effect of detecting the presence of an obstacle in the track of the vehicles. In the proposed work, the Raspberry Pi, Camera module is used for object detection and image acquisition. The system can classify objects like vehicles, animals, humans, etc. Once the object is detected the system informs the user to slow down the vehicle. A sufficient analysis is carried out to consolidate the results obtained. The result analysis shows that proposed system is more precise and consumes less time than existing system.
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How To Cite (APA)
N.meghana, M.Madhan Mohan Reddy, CH.silpa, B.Madhavi, & G.Manga Rao (April-2023). Object Detection Using Machine Learning To Avoid Accidents And Improve Road Safety. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), c577-c584. https://ijnrd.org/papers/IJNRD2304274.pdf
Issue
Volume 8 Issue 4, April-2023
Pages : c577-c584
Other Publication Details
Paper Reg. ID: IJNRD_191144
Published Paper Id: IJNRD2304274
Downloads: 000122254
Research Area: Engineering
Author Type: Indian Author
Country: NELLORE, AP, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2304274.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304274
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