The Internet is full of tutorials about detecting objects in images. But can you apply the same concepts to a live video stream?
Yes, you can! In this article series, we’ll demonstrate how to use AI to determine what’s going on in a live video stream by building a lightning detector that runs in realtime on an Android device.
The title of the series – "Live Lightning Detection ..." – sounds too emotionally charged. Poetry? Cinema? Or a marketing trick? Let’s parse the "emotion" into technical terms. Live = in a set of consecutive frames that constitute video; Lightning Detection = nothing but an object detection, using Deep Learning (DL) and Tensorflow (TF) implemented in an app running on the Android OS. Sounds more up your alley?
Hosted on CodeProject.com | Member | Profile
Article 1/6 : Live Lightning Detection with Deep Learning and Tensorflow on Android: Getting Started
Article 2/6 : Live Lightning Detection with Deep Learning and Tensorflow on Android: Training and Exporting Model
Article 3/6 : Lightning Detection with Deep Learning and Tensorflow on Android: Building UI with Android Studio
Article 4/6 : Lightning Detection with Deep Learning and Tensorflow on Android: Setting Up a TFLite Model
Article 5/6 : Live Lightning Detection with Deep Learning and Tensorflow on Android: Real-time Testing
Article 6/6 : Live Lightning Detection with Deep Learning and Tensorflow on Android: Exploring the Outcome
Youtube videos