Inspiration
We wantto improve independent mobility for visually impaired users by creating an affordable, embedded system alternative to traditional canes.
What it does
The cane detects nearby obstacles using sensors and alerts the user through vibrations and audio feedback for safer navigation.
How we built it
We integrated a Raspberry Pi 4 and a pico with distance sensors, motors, and computer vision software to process obstacle data and deliver real-time feedback.
Challenges we ran into
Balancing accuracy, response time, and power consumption while keeping the system lightweight and user-friendly was challenging.
Accomplishments that we're proud of
We successfully built a working prototype that reliably detects obstacles and provides intuitive feedback in real-world tests.
What we learned
We gained hands-on experience with embedded systems, sensor integration, computer vision, and designing technology with accessibility in mind.
What's next for Embedded Smart Cane
We plan to improve battery life, reduce hardware size, voice/AI assitance and add features like GPS navigation and mobile app integration.
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