Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations
The aim of this paper is to create image-processing Android apps to launch on the Google Play Store. Three apps with different usages will be presented for different situations. The first app is a night-vision app on an Android phone that uses OpenCV. The second app is a tooth-brushing assistant app...
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MDPI AG
2025-01-01
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| Series: | Technologies |
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| Online Access: | https://www.mdpi.com/2227-7080/13/1/27 |
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| author | Roland Szabo |
| author_facet | Roland Szabo |
| author_sort | Roland Szabo |
| collection | DOAJ |
| description | The aim of this paper is to create image-processing Android apps to launch on the Google Play Store. Three apps with different usages will be presented for different situations. The first app is a night-vision app on an Android phone that uses OpenCV. The second app is a tooth-brushing assistant application. The app is made for mobile phones and uses advanced image-processing techniques to detect when the tooth is brushed correctly or incorrectly. The main focus is on the direction of the toothbrush movement because this is one of the key aspects of correctly brushing teeth. The direction of movement of the brush is detected using movement vectors. The third app is a lane-detection app on the smartphone. Lane detection is carried out using OpenCV and TensorFlow libraries. The mobile app was implemented on the Android operating system. The app has a live video feed of the surroundings. When in the area of view, there will be a road with a lane. The system detects the lane and draws a green line over it. |
| format | Article |
| id | doaj-art-05cb74de77d4465195688f6baf8f7654 |
| institution | Kabale University |
| issn | 2227-7080 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Technologies |
| spelling | doaj-art-05cb74de77d4465195688f6baf8f76542025-01-24T13:50:47ZengMDPI AGTechnologies2227-70802025-01-011312710.3390/technologies13010027Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical DemonstrationsRoland Szabo0Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University Timisoara, Vasile Parvan Av., No. 2, 300223 Timisoara, RomaniaThe aim of this paper is to create image-processing Android apps to launch on the Google Play Store. Three apps with different usages will be presented for different situations. The first app is a night-vision app on an Android phone that uses OpenCV. The second app is a tooth-brushing assistant application. The app is made for mobile phones and uses advanced image-processing techniques to detect when the tooth is brushed correctly or incorrectly. The main focus is on the direction of the toothbrush movement because this is one of the key aspects of correctly brushing teeth. The direction of movement of the brush is detected using movement vectors. The third app is a lane-detection app on the smartphone. Lane detection is carried out using OpenCV and TensorFlow libraries. The mobile app was implemented on the Android operating system. The app has a live video feed of the surroundings. When in the area of view, there will be a road with a lane. The system detects the lane and draws a green line over it.https://www.mdpi.com/2227-7080/13/1/27night visionimage motion analysislane detectionmobile applicationsmobile computing |
| spellingShingle | Roland Szabo Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations Technologies night vision image motion analysis lane detection mobile applications mobile computing |
| title | Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations |
| title_full | Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations |
| title_fullStr | Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations |
| title_full_unstemmed | Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations |
| title_short | Implementing Computer Vision in Android Apps and Presenting the Background Technology with Mathematical Demonstrations |
| title_sort | implementing computer vision in android apps and presenting the background technology with mathematical demonstrations |
| topic | night vision image motion analysis lane detection mobile applications mobile computing |
| url | https://www.mdpi.com/2227-7080/13/1/27 |
| work_keys_str_mv | AT rolandszabo implementingcomputervisioninandroidappsandpresentingthebackgroundtechnologywithmathematicaldemonstrations |