AI Glasses + Smart Assistive Ecosystem
Navigate. Understand. Experience the world—independently.
Samriddha Drishti is an AI-powered assistive ecosystem combining smart glasses and a smart blind stick prototype. Together, they provide scene understanding, navigation support, obstacle detection, and real-time audio feedback for the visually impaired.
Discover how our innovative AI-powered ecosystem combines smart glasses and an assistive stick to deliver real-time support, empowering visually impaired individuals with greater independence and confidence in their daily lives.
Explore Features
Explore our prototypes, real-world tests, and development journey.
Detects ground level obstacles with ultrasonic and infrared sensors, vibration alerts, and SOS support. Works standalone or in sync with Samriddha Drishti glasses.
Supports major Indian languages like Hindi, Tamil, and Bengali — ensuring accessibility for everyone.
Experience real-time scene descriptions and instant answers to visual questions using computer Vision AI — helping users perceive and understand their surroundings effortlessly, indoors or outdoors.
Read documents, signs, menus, and currency with high-speed OCR.
Identify known faces and scan QR codes with spoken output.
AI-powered navigation with real-time object detection and audio direction.
Samriddha Drishti is a seamless integration of smart glasses and a smart blind stick. Together, they empower visually impaired individuals to navigate independently, interact confidently, and understand their surroundings — all in real time.
Put on the smart glasses and power on the smart blind stick. Both devices connect to the Samriddha Drishti mobile app, which acts as the central processing hub. This forms a unified assistive ecosystem.
Speak naturally or press the button to control the system. Commands like “Describe surroundings”, “Read text”, or “Locate object” trigger instant AI responses.
The smart glasses capture live video and process it using advanced AI. You receive real-time Navigation Assistance ,scene descriptions and object recognition via audio & haptic feedback.
Simply point the camera at any text — documents, signs, or menus — and Samriddha Drishti reads it aloud instantly using high-accuracy OCR technology.
The smart blind stick detects obstacles through ultrasonic and infrared sensors. It vibrates or issues alerts to keep you safe while navigating.
Together, the smart glasses and blind stick provide a powerful assistive ecosystem — enabling users to move with independence, awareness, and confidence.
🔹 Hardware:
• Smart Glasses (Camera, Microphone, Speaker)
• Smart Blind Stick (Ultrasonic Sensors, Infrared Sensor, Vibration Motor, SOS Button)
🔹 AI Models:
• Gemini Pro Vision – Scene Description & Visual QA
• BLIP – Image Captioning & Visual Question Answering
• YOLOv8 (Mobile Optimized) – Object & Obstacle Detection
• Multilayer AI System
🔹 Software Platform:
• Python, OpenCV, TensorFlow, PyTorch
• Android Integration (Chaquo, Pydroid 3)
• Text-to-Speech: Android-native + pyttsx3
🔹 Offline Support:
• Navigation (YOLOv8 + HVLM), Visual Q&A (BLIP), Object Detection, Text Reading (OCR), and QR Recognition available without internet.
Samriddha Drishti envisions a world where visual impairment is no barrier to independence, safety, and opportunity. By merging AI, real-time processing, and intuitive design, we aim to empower millions of visually impaired individuals to navigate their world with confidence and dignity. Our mission is to build India’s first truly integrated accessibility ecosystem—a fusion of smart glasses and smart blind stick technology—bringing freedom and connection to every step they take.
Samriddha Drishti is an AI-powered vision assistant designed to empower the visually impaired with independence and confidence. Through smart assistive technology, it transforms everyday challenges into seamless experiences — enabling users to perceive, navigate, and interact with their surroundings effortlessly.
Get in touchLooking for: Volunteers, Developers, Mentors, and Supporters
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Samriddha Drishti
Backed by KPR Institute of Engineering and Technology, Hackathon Awards, and Community Support.