CaneSee

The problem

Visually impaired users get distance and obstacles from a cane through touch alone. That's slow feedback for a fast-moving environment.

Overview

CaneSee is a smart assistive cane for visually impaired users, built as a graduation project by a six-person team spanning four engineering disciplines. My part is the software layer: a computer-vision pipeline that detects obstacles, voice recognition for hands-free control, and directional feedback that turns a detection into guidance a user can act on in real time. We presented it at the Graduation Expo.

What I personally did

• Built the computer-vision obstacle-detection pipeline
• Implemented voice recognition for hands-free interaction
• Designed the directional feedback logic that converts detections into user-facing guidance
• Worked directly with the mechanical and electrical team to integrate software with the physical cane
• Presented and demoed the system at the Graduation Expo

Outcome

• Working end-to-end prototype: detection into feedback, in real time
• Presented at the KFUPM Graduation Expo
• Shipped across 4 engineering disciplines without the software becoming the bottleneck