Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4

© Nicolas Modrzyk 2020

N. ModrzykReal-Time IoT Imaging with Deep Neural Networkshttps://doi.org/10.1007/978-1-4842-5722-7_4

4. Analyzing Video Streams on the Raspberry Pi

Nicolas Modrzyk¹ 

(1)

Tokyo, Tokyo, Japan

 

In this chapter, you’ll learn how to analyze video streams using concepts taken from functional programming. Specifically, you’ll use the Filter interface and combine it with a Pipeline object and then apply them to the video stream.

We will start with an overview of filters. Then we’ll look at different basic, fun filters, and we’ll gradually move on to object detection using different vision techniques. Finally, we’ll talk about neural networks.

Overview of Applying Filters

In the Clojure language, you can apply a set of transformations directly ...