VISION
THE_MISSION
GIVING SIGHT TO
THE BLIND
> Developed during my 1st Year of Engineering.
> A fusion of Computer Vision, IoT, and Empathy.
> Designed to replace the traditional cane with a "Digital Eye".
DEV_ARCHIVES // COMPUTER_VISION
YOLOv5 Inference
Real-time object detection running on the Jetson Nano. The system identifies vehicles, pedestrians, and obstacles with high accuracy, translating visual data into audio cues.
Development Phase
Snapshots from the rigorous testing phase, calibrating the vision model to handle diverse lighting conditions and complex street environments.
HARDWARE_DESIGN
HARDWARE_MATRIX
JETSON_NANO
The brain. Edge AI processing running YOLOv5 for real-time object detection.
COMPUTER_VISION
Webcam input analyzed @ 30FPS to identify obstacles, people, and traffic.
GPS_TRACKING
Real-time location telemetry sent to cloud DB for caregiver monitoring.
ULTRASONIC_ARRAY
Precise distance measurement for close-range haptic feedback.
VOICE_FEEDBACK
Text-to-Speech interface via Bluetooth earbuds for navigation.
FALL_DETECTION
Accelerometer-based fall detection with automated SOS calls.
IMPACT
THE_OUTCOME
NATIONAL RECOGNITION
SMART INDIA HACKATHON 2021
What started as a freshman year project evolved into a nationally recognized innovation. We won First Prize at the Smart India Hackathon, receiving accolades from the Ministry of Health.
Selected by the Ministry of Health for production funding to scale the device for mass manufacturing.
The device successfully demonstrated that complex edge computing (Jetson Nano) could be miniaturized into a life-changing assistive tool, bridging the gap between "sight" and "sensing".
ISSUED: OCT 25, 2022
