Project Information
- Category: AI Vision
- Client: Assistive Technology
- Project Date: 2024
- Application: Accessibility
Project Overview
Blind Can See is a revolutionary smart glasses system designed to assist visually impaired individuals in their daily lives. The system uses advanced computer vision and AI technologies to recognize currency, classify food, detect stairs, identify faces and emotions, recognize text, detect dangers, and read sign boards, providing real-time audio feedback to users.
Project Impact
Key metrics and achievements
Key Features
Currency Recognition
Recognizes Pakistani currency notes and coins, providing audio feedback about denominations for independent financial transactions
Food Classification
Identifies and classifies various foods including Biryani, Korma, Noodles, and other common dishes for meal planning assistance
Stair Detection
Detects stairs and counts the number of steps, providing audio warnings to help users navigate safely
Facial & Emotion Detection
Recognizes faces and detects emotions, helping users understand social situations and identify people
Face Recognition
Stores and recognizes known faces in a secure database, enabling personalized identification of friends and family
Image to Text Recognition
Converts images to text using OCR technology, reading documents, signs, and labels aloud
Danger Detection
Identifies potential hazards including holes, manholes, bumps, and fire, providing critical safety warnings
Sign Board Detection
Recognizes and reads sign boards, helping users navigate public spaces and understand directions
Text to Speech
Converts all detected information into clear audio feedback for hands-free operation
Technical Implementation
The Blind Can See system integrates TensorFlow for deep learning models, OpenCV for computer vision processing, and Python for core functionality. The system uses advanced neural networks trained on Pakistani currency, food items, and various objects. Real-time image processing captures the environment through camera sensors, and the AI models analyze the scene to identify objects, text, faces, and dangers. All information is converted to audio through text-to-speech engines, providing immediate feedback to users through headphones or speakers.
Impact & Results
Blind Can See has transformed the lives of visually impaired individuals by providing them with greater independence and safety. The system enables users to navigate their environment more confidently, identify objects and people, read text, and avoid dangers. This assistive technology significantly improves quality of life by reducing reliance on others and increasing autonomy in daily activities. The comprehensive feature set addresses multiple challenges faced by visually impaired individuals, making it a truly impactful solution.