GitHub - matteomedioli/AndroidObjectDetection: Real time object detection Android application using OpenCV 4.1 and YOLOv3.
![Let's Build an Android AI App with OpenCV (+put YOLOv3 there) || Android Deep Learning with OpenCV#1 - YouTube Let's Build an Android AI App with OpenCV (+put YOLOv3 there) || Android Deep Learning with OpenCV#1 - YouTube](https://i.ytimg.com/vi/lGtUA5wz0tk/maxresdefault.jpg)
Let's Build an Android AI App with OpenCV (+put YOLOv3 there) || Android Deep Learning with OpenCV#1 - YouTube
![State of the art technologies for object recognition and its deployment... | Download Scientific Diagram State of the art technologies for object recognition and its deployment... | Download Scientific Diagram](https://www.researchgate.net/publication/354291739/figure/fig1/AS:1118867019571201@1643770093516/State-of-the-art-technologies-for-object-recognition-and-its-deployment-in-smartphones.png)
State of the art technologies for object recognition and its deployment... | Download Scientific Diagram
![android - Possibilities of tracking an object after detection(feature based object recognition) - Stack Overflow android - Possibilities of tracking an object after detection(feature based object recognition) - Stack Overflow](https://i.stack.imgur.com/O7hvt.png)
android - Possibilities of tracking an object after detection(feature based object recognition) - Stack Overflow
![java - OpenCV, Android: color detection from particular area or portion of an image? - Stack Overflow java - OpenCV, Android: color detection from particular area or portion of an image? - Stack Overflow](https://i.stack.imgur.com/BzrNp.png)
java - OpenCV, Android: color detection from particular area or portion of an image? - Stack Overflow
GitHub - argos-research/android-OpenCV: opencv-based object detection on android by using the speed-dreams simulator
![Smartphone-based real-time object recognition architecture for portable and constrained systems | Journal of Real-Time Image Processing Smartphone-based real-time object recognition architecture for portable and constrained systems | Journal of Real-Time Image Processing](https://media.springernature.com/m685/springer-static/image/art%3A10.1007%2Fs11554-021-01164-1/MediaObjects/11554_2021_1164_Fig3_HTML.png)