Abstract
This research presents an assistive technology system employing YOLO (You Only Look Once) object detection to identify medication packaging, addressing challenges faced by visually impaired individuals that could have severe consequences. Tailored for common medications in the Indonesian market, the system utilizes an innovative dataset. Its core components are the YOLOv8n framework, gTTS for text-to-speech, and the Pygame audio module. The trained YOLOv8n models achieved a precision of 1 and a recall of 0.73. Text-to-speech processing using gTTS and Pygame took 142 ms. These results indicate a robust and beneficial system performance.
| Original language | English |
|---|---|
| Title of host publication | 26th International Seminar on Intelligent Technology and Its Applications |
| Subtitle of host publication | Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 25-30 |
| Number of pages | 6 |
| Edition | 2025 |
| ISBN (Electronic) | 9798331537609 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025 - Hybrid, Surabaya, Indonesia Duration: 23 Jul 2025 → 25 Jul 2025 |
Conference
| Conference | 26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025 |
|---|---|
| Country/Territory | Indonesia |
| City | Hybrid, Surabaya |
| Period | 23/07/25 → 25/07/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- TTS
- assistive technology
- object detection
- visual impairments
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