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YoloV4 Based Object Detection for Blind Stick

Authors :
Mahesh Pawaskar
Sahil Talathi
Shraddha Shinde
Digvijay Singh Deora
Adesh Hardas
Vrushali Devlekar
Publication Year :
2023
Publisher :
Zenodo, 2023.

Abstract

Blind humans face many problems to interact with their close by surroundings. The intention of this paper is to offer a device to help blind humans to navigate in addition to feel the barriers. We plan to propose an operating model that is taking walks stick with inconstructed ultrasonic sensor with a micro controller gadget. Detection and monitoring algorithms are laid out in terms of extricating the capabilities of photographs and motion pictures for protection and scrutiny applications. famous algorithms of item detection consist of You only look once (YOLO), area-based Convolutional Neural Networks (RCNN), quicker RCNN (F-RCNN). RCNN has higher accuracy in comparison to different algorithms, but YOLO surpasses whilst pace is considered over accuracy. &nbsp

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8d1611c32c3fee644619c24ea503b177
Full Text :
https://doi.org/10.5281/zenodo.8049766