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YoloV4 Based Object Detection for Blind Stick
- Publication Year :
- 2023
- Publisher :
- Zenodo, 2023.
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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
- Subjects :
- YOLOv4, Raspberry Pi, RCNN, Blind stick, Object Detection
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....8d1611c32c3fee644619c24ea503b177
- Full Text :
- https://doi.org/10.5281/zenodo.8049766