Live Lightning Detection with Deep Learning and Tensorflow on Android

Updated: 6 days ago

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?

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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

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#DeepLearning, #AndroidStudio, #LiveDetection, #ObjectDetection, #LightningDetection, #Android, #Tensorflow, #TensorflowLite, #MLkit, #TensorflowModel, #MachineLearning

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