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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Technologies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7080/13/1/27 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 2227-7080 |