Distance Estimation using Tensorflow Object Detection

Amin, Fakhra; Mehdi, Syed Ali; Khan, Ahmad Danish

doi:10.1109/upcon47278.2019.8980216

Cited by 2 publications

(2 citation statements)

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“…According to Faizad Amin in [1], If we want to understand the geometry of a scene, it is important to identify the obstacle present in our way as well as estimate the depth. There are two types of Object Detection: they can be static or dynamic.…”

Section: Object Detection With Image Captioningmentioning

confidence: 99%

“…On reviewing [1], [2], [3], [4] papers we figured out a few extremely important things, which are not present very widely, and we would be planning to implement and emphasize more on it while creating our project. First thing is that along with object detection it is very important to also, find the depth and the distance between the object and the user because we are trying to create an application that can be used in daily commute, so according to the depth of the object, priorities are set, for example, if in the scene if a dog and a bike both are present, but the dog is at 100 cm and the bike is at 1 m, so object detection will only mention the name of both objects, but we want that user should get first output as the dog is present at 50 cm and then about the bike.…”

Section: Research Gapsmentioning

confidence: 99%

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VirtualEye: Android Application for the Visually Impaired

Bagrecha

Shah

et al. 2021

Advances in Parallel Computing

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In India, almost 18 million visually impaired people have difficulties in managing their day-to-day activities. Hence, there is a need to develop an application that can assist them every time and give vocal instructions in both English and Hindi. In this paper, we introduced a robust lightweight Android application that facilitates visually impaired individuals by providing a variety of essential features such as object and distance detection, Indian currency note detection, and optical character recognition that can enhance their quality of life. This application aims to have a user-friendly GUI well suited to the needs of the blind user and modules like Object Recognition with Image Captioning so that the visually challenged user can gain a better understanding of their surroundings.

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Section: Object Detection With Image Captioningmentioning

confidence: 99%