Sensor-Based Assistive Device for Visually Impaired People
Harshal Gurav
Electronics & Telecommunication Engineering.
Atharva College of Engineering Mumbai, India
Chirag Kini
Electronics & Telecommunication Engineering.
Atharva College of Engineering Mumbai, India
Aryan Jadhav
Electronics & Telecommunication Engineering.
Atharva College of Engineering Mumbai, India
Mitali Malusare
Electronics & Telecommunication Engineering.
Atharva College of Engineering Mumbai, India
Under the Guidance of Prof. Vivek Ramakrishnan
Electronics & Telecommunication Engineering.
Atharva College of Engineering Mumbai, India
Abstract: This paper presents the design and development of a sensor-based assistive device for visually impaired individuals, integrating object detection, Optical Character Recognition (OCR), and color detection capabilities. The device is equipped with advanced sensors and cameras to detect and identify objects in the environment, providing real-time audio feedback to the user. The OCR function enables reading text from printed materials, converting it into speech for improved accessibility. The color detection feature also allows users to recognize colors, enhancing daily activities such as choosing clothing or identifying objects. This assistive device aims to empower visually impaired individuals by improving their mobility, independence, and interaction with their surroundings through cutting-edge technology.
The "SENSOR BASED ASSISTIVE DEVICE FOR
VISUALLY IMPAIRED PEOPLE" is a wearable device designed to assist individuals with visual impairments by providing real-time object detection and auditory feedback. Utilizing advanced computer vision techniques, the goggle is equipped with a camera that identifies surrounding objects, and people in the environment. The detected objects are processed using Artificial intelligence mark-up language (AIML) algorithms for accurate classification and recognition.
Keywords: OCR, text to speech, real-time object detection, API.
