A smart assistive system for visually challenged people through efficient object detection using deep learning with tunicate swarm algorithm

Nature·Nov 27

✦ NabkaNews BriefAuto-summarized from multiple outlets · verify with the source

Researchers are developing various smart assistive systems to aid visually challenged people through object detection using deep learning and other algorithms. These systems, which may include wearable devices or other technologies, aim to provide guidance and support for independent living. The specific details and approaches of these systems vary, with different outlets reporting on different projects and technologies.

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PolyU develops smart assistant “AI-Care” that automatically identifies daily tasks and provides guidance to support independent living for visually impaired people

EurekAlert!·Jul 9

An intelligent framework for visually impaired people through indoor object Detection-Based assistive system using YOLO with recurrent neural networks

Nature·Dec 12

The Best Smart Assistive Devices for People With Disabilities

The New York Times·Oct 7

AI-powered BlindSpot VisionGuide system on raspberry Pi for enhancing independence of visually impaired users

Nature·Feb 27

AI-powered assistive eyewear for the visually impaired launched in Bengaluru

The Hindu·Jan 22

SENSEYE: a resource-aware visionary framework for assisting individuals with visual disabilities

Nature·May 11

Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model

Nature·Aug 17

Multi-strategy dung beetle optimization for robust indoor object detection and tracking for visually impaired people with hybrid deep learning networks

Nature·Oct 21

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