Lighting System Control for Cataract Maturity Imaging Device
As technology advances, various innovations have been made to assist in diagnosing and treating cataracts. In cataract detection, artificial intelligence-based methods such as Convolutional Neural Networks (CNN) have proven very effective in detecting cataracts. CNN can classify eyes with an accurac...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Indonesian |
| Published: |
LP3M Universitas Nurul Jadid
2025-04-01
|
| Series: | Journal of Electrical Engineering and Computer |
| Subjects: | |
| Online Access: | https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10849 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849716159881936896 |
|---|---|
| author | Katon Bagus Setiawan I Komang Somawirata Irmalia Suryani Faradisa |
| author_facet | Katon Bagus Setiawan I Komang Somawirata Irmalia Suryani Faradisa |
| author_sort | Katon Bagus Setiawan |
| collection | DOAJ |
| description | As technology advances, various innovations have been made to assist in diagnosing and treating cataracts. In cataract detection, artificial intelligence-based methods such as Convolutional Neural Networks (CNN) have proven very effective in detecting cataracts. CNN can classify eyes with an accuracy of up to 87%. In addition to image processing techniques such as CNN, the quality of the resulting images highly depends on the lighting system used during the eye image capture. This research expects the lighting system to be designed to adjust light intensity flexibly. This feature allows for adjusting brightness as needed, ensuring high-quality image results without compromising eye health. From this research, the image quality test results show good quality in the duty cycle range of 23.53% to 62.75% with light intensity of 30-84 lux. This indicates that the light intensity at the medium level produces images with good indicators. However, the light intensity conditions at the medium level begin to vary in terms of visual comfort and are still tolerable by most users. In the final test, an experiment involving respondents and image analysis using image processing was conducted. From the experiment, the respondents felt comfortable with the light intensity emitted by the LED. In the image processing section, the average number of images taken to obtain a good indicator was 3 times. A structured lighting system can ensure that good image results are obtained and patients feel comfortable with the light intensity used. |
| format | Article |
| id | doaj-art-9e7a3140cf8b4e93a5841c526d43aed0 |
| institution | DOAJ |
| issn | 2715-0410 2715-6427 |
| language | Indonesian |
| publishDate | 2025-04-01 |
| publisher | LP3M Universitas Nurul Jadid |
| record_format | Article |
| series | Journal of Electrical Engineering and Computer |
| spelling | doaj-art-9e7a3140cf8b4e93a5841c526d43aed02025-08-20T03:13:07ZindLP3M Universitas Nurul JadidJournal of Electrical Engineering and Computer2715-04102715-64272025-04-017110.33650/jeecom.v7i1.108493874Lighting System Control for Cataract Maturity Imaging DeviceKaton Bagus SetiawanI Komang SomawirataIrmalia Suryani FaradisaAs technology advances, various innovations have been made to assist in diagnosing and treating cataracts. In cataract detection, artificial intelligence-based methods such as Convolutional Neural Networks (CNN) have proven very effective in detecting cataracts. CNN can classify eyes with an accuracy of up to 87%. In addition to image processing techniques such as CNN, the quality of the resulting images highly depends on the lighting system used during the eye image capture. This research expects the lighting system to be designed to adjust light intensity flexibly. This feature allows for adjusting brightness as needed, ensuring high-quality image results without compromising eye health. From this research, the image quality test results show good quality in the duty cycle range of 23.53% to 62.75% with light intensity of 30-84 lux. This indicates that the light intensity at the medium level produces images with good indicators. However, the light intensity conditions at the medium level begin to vary in terms of visual comfort and are still tolerable by most users. In the final test, an experiment involving respondents and image analysis using image processing was conducted. From the experiment, the respondents felt comfortable with the light intensity emitted by the LED. In the image processing section, the average number of images taken to obtain a good indicator was 3 times. A structured lighting system can ensure that good image results are obtained and patients feel comfortable with the light intensity used.https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10849cataract eyeled lightingpwmopencvimage processing |
| spellingShingle | Katon Bagus Setiawan I Komang Somawirata Irmalia Suryani Faradisa Lighting System Control for Cataract Maturity Imaging Device Journal of Electrical Engineering and Computer cataract eye led lighting pwm opencv image processing |
| title | Lighting System Control for Cataract Maturity Imaging Device |
| title_full | Lighting System Control for Cataract Maturity Imaging Device |
| title_fullStr | Lighting System Control for Cataract Maturity Imaging Device |
| title_full_unstemmed | Lighting System Control for Cataract Maturity Imaging Device |
| title_short | Lighting System Control for Cataract Maturity Imaging Device |
| title_sort | lighting system control for cataract maturity imaging device |
| topic | cataract eye led lighting pwm opencv image processing |
| url | https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10849 |
| work_keys_str_mv | AT katonbagussetiawan lightingsystemcontrolforcataractmaturityimagingdevice AT ikomangsomawirata lightingsystemcontrolforcataractmaturityimagingdevice AT irmaliasuryanifaradisa lightingsystemcontrolforcataractmaturityimagingdevice |