Object Recognition and Classification System for Visually Impaired
Rashika Joshi, Meenakshi Tripathi, Amit Kumar, Manoj Singh Gaur
Abstract
There have been diverse accounts of research relating to navigation assistance for the visually impaired. Using the object recognition approach, we aim to assist the blind to travel independently with the ability to identify any obstacles the the path. The subject now is to identify a solution that is low powered, easily portable and still effective. The system consists of Jetson Nano ported with the trained deep learning model and is interfaced with camera, that acts as a easy-to-use platform for object recognition, speech processing and image classification. Tests indicate that system is accurate and functions as navigation assistant.
Topics & Concepts
Cognitive neuroscience of visual object recognitionComputer sciencePortingVisually impairedArtificial intelligenceComputer visionObject (grammar)3D single-object recognitionNavigation systemPath (computing)Speech recognitionHuman–computer interactionSoftwareProgramming languageTactile and Sensory InteractionsAdvanced Neural Network ApplicationsSmart Parking Systems Research