Object Recognition for the Visually Impaired

Abstract

Today images and videos are everywhere. In fact, the sheer quantity of images on social media and networking sites is unfathomable. Every device is now fitted with a camera. This opens up huge possibilities. Object Recognition is a process of detecting an object and identifying it using various image algorithms. The main purpose of this paper is to recognize objects in real time and allot the objects to the classes that are previously defined. The algorithms that we utilized are more computationally efficient. Previously, object detection was done using RFID and IR technologies which required dedicated hardware. But with the advent of image processing and neural networks, we require almost no new hardware. Almost everything has camera these days from pens to mobile phones. This has given rise to a new field called computer vision i.e. using pictures and videos to detect, segregate and track objects or events so that we can “understand” a real world scenario.