<?xml version="1.0" encoding="UTF-8"?><record xmlns:dc="http://purl.org/dc/elements/1.1/"><dc:title>Deep Learning Object-based Distance Measurement - How to help blind people maintain social distancing 
outdoors</dc:title><dc:creator>Kevin Sebineza</dc:creator><dc:publisher>African Leadership Univerisity</dc:publisher><dc:date>2021</dc:date><dc:description>The COVID-19 pandemic has impacted the world, with measures like social distancing and mask-wearing reducing infection rates. This research proposes using deep learning and object detection to help blind and visually impaired people maintain social distancing.</dc:description><dc:subject>Covid-19, Deep learning, social distancing, neural networks, artificial intelligence, deep learning object-based, learning object-based distance, object-based distance measurement, distance measurement how, measurement how help</dc:subject><dc:type>Final Year Project</dc:type><dc:identifier>https://inrepscholar.com/african-leadership-univerisity/projects/993</dc:identifier><dc:rights></dc:rights></record>