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CECP Project
NO MEDIA
⚡ Intermediate Robotics & Automation
Active / Ongoing

Smart Assistive Navigation Goggles for the Visually Impaired

A wearable assistive system designed to help visually impaired individuals navigate safely using real-time obstacle detection and intelligent feedback. The device integrates ultrasonic sensors, IR/ToF sensing, and a microcontroller to provide directional guidance through haptic vibrations and audio alerts, enabling hands-free mobility and enhanced independence.

ESP32 / Arduino Ultrasonic Sensors IR ToF / LiDAR Embedded Systems Sensor Fusion Haptic Feedback Systems Wearable Electronics
N

LEAD

Nandni Tyagi

May 2026 2026

Protected Resources

The GitHub repository, documentation, and demo links for this project are protected. Only club members and authorized users can access these resources.

🔒 Repository 🔒 Paper / PPT / Docs
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Technical Specification

This project is a wearable embedded system combining multiple sensing and feedback mechanisms. Sensors: Ultrasonic sensors for obstacle detection, IR ToF/LiDAR for precise distance mapping Processing Unit: ESP32 / Arduino microcontroller for real-time data processing Optional Vision Module: Camera for scene recognition and object classification Feedback System: Vibration motors for directional alerts (left/right/front) Bone conduction speakers / audio output for voice guidance Power: Rechargeable Lithium-ion battery Design: Lightweight wearable frame for continuous use.

Achievements & Awards

1 TOTAL

Internal Hackathon Selection – SIH 2025 Nominee

Smart India Hackathon (SIH) 2025 – Internal Round

🏆 Selected / Nominated Team
Sep 22, 2025 Competition / Hackathon

Team

1 MEMBERS
Nandni Tyagi

Nandni Tyagi

Project Lead