Gorde:
| Egile Nagusiak: | , , , , |
|---|---|
| Formatua: | Recurso digital |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Zenodo
2026
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| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.5281/zenodo.20227828 |
| Etiketak: |
Etiketa erantsi
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Aurkibidea:
- <h2><span>This paper presents an AI-powered Object Detection system designed to provide real-time environmental awareness using computer vision and machine learning techniques. The system captures live video input through a camera and processes each frame to perform object detection, text recognition using OCR, currency identification, and traffic light detection. It includes a direction and urgency analysis module to determine the position and importance of detected objects, enabling effective decision-making. A priority-based alert queue system is implemented to manage and deliver voice alerts using a text-to-speech engine without overlap. The system supports multiple modes such as walk mode, OCR mode, and currency mode, allowing flexible and context-aware<span> </span>operation.<span> </span>Experimental<span> </span>results<span> </span>demonstrate<span> </span>that<span> </span>the system performs efficiently in real-time scenarios with minimal delay, making it a practical and reliable assistive solution, particularly for visually impaired individuals.</span></h2> <p class="MsoNormal"><strong><em><span> </span></em></strong></p>