An Assistive and Assessment Smart Eye for Visually Impaired People using CAFFE Model
Vaibhav Sontakke1, Siva Shanmugam G2
1Vaibhav Sontakke *, School of computer science and Engineering, Vellore Institute of Technology Vellore, India.
2Siva Shanmugham G, School of computer science and Engineering, Vellore institute of technology Vellore India.
Manuscript received on May 16, 2020. | Revised Manuscript received on May 23, 2020. | Manuscript published on May 30, 2020. | PP: 2520-2525 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2987059120/2020©BEIESP | DOI: 10.35940/ijrte.A2987.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Those who are visionless or visually compromised and rely heavily on others, like their family or friends. Whereas in acquainted settings, they’re going to face several obstacles whereas conducting their everyday activities. A bit like we tend to love democracy and knowledge it, so that they can expertise it too. They ought to not be set apart merely as a result of capable otherwise and particularly in today’s world wherever we tend to are technologically thus advance. The planned work object discovery system identifies, calculates the gap to our camera from an illustrious entity in a picture and scans the important world objects from binary pictures or film, wherever the entity might belong to any category or cluster, like folks, cars, vehicles, etc. to finish this duty of detection an object in a picture or video, I used OpenCV packages, Caffe model, Python, and NumPy. This investigation work discovers however deep learning techniques are wont to notice a live object, find an item, reason an item, extract options and show information and lots of additional, in footage and videos use OpenCV and the way to use the Caffe model, and conjointly why select the restaurant prototype over alternative frames. To form our deep learning-based period factor detector with OpenCV, we did like to access webcams and apply factor discovery to every frame effectively.
Keywords: Object Detection, Deep Learning, Caffe Model, Thing Discovery, Distance from Camcorder to Thing, OpenCV, Raspberry Pi, Camcorder Module.
Scope of the Article: Deep Learning