Object Detection Using Machine Learning To Avoid Accidents And Improve Road Safety

Registration ID: IJNRD_191144

Published ID: IJNRD2304274

DOI: Click Here to Get

N.meghana , M.Madhan Mohan Reddy , CH.silpa , B.Madhavi , G.Manga Rao

object,vehicle,camera,raspberry pi,motor driver, dc motor,ultrasonic sensor,led display

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.

Published Paper   E-Certificate

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

Volume 8 Issue 4, April-2023

Pages : c577-c584

Paper Reg. ID: IJNRD_191144

Published Paper Id: IJNRD2304274

Downloads: 000121982

Research Area: Engineering

Country: NELLORE, AP, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304274.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304274

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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