THEIA

Redefining Sight with Sound

About THEIA

THEIA is a smart wearable designed to help visually impaired individuals identify Indian currency and assess note condition. Built with a camera, Raspberry Pi 5, and YOLOv8 AI models, it offers real-time offline recognition, ensuring accessibility, independence, and fraud protection.

THEIA Front View THEIA Front View THEIA Front View
This project was funded (Rs 35,000) by Rajagiri School of Engineering & Technology and has received a UK patent for its design.

Features

Real-Time Detection

Uses deep learning to identify Indian currency notes in under 2 seconds.

Damage & Screen Check

Detects folded, torn, or digital note images to prevent misuse or fraud.

Hands-Free Experience

Ergonomic neckband with tactile buttons and audio feedback—no screen needed.

Offline Capability

Fully functional without internet using edge AI on Raspberry Pi 5.

How THEIA Looks in Action

See how THEIA empowers users in real-world scenarios. These photos capture people using the device for currency recognition and independence.

System Architecture

Theia consists of interconnected modules: camera (input), OpenCV (preprocessing), YOLOv8 (currency + damage detection), Raspberry Pi (processing), and pico2wave (voice). Housed in a 3D-printed shell, it includes tactile buttons and a 2000mAh battery.

System Architecture Diagram

Results & Impact

Training and Validation Graphs

Meet the Team

Abel George Stanley
u2204003@rajagiri.edu.in
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Anandhakrishnan J
u2204013@rajagiri.edu.in
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Anjith Saju
u2204016@rajagiri.edu.in
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Namit Rajeev
u2204045@rajagiri.edu.in
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Swathi S
u2204064@rajagiri.edu.in
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