Archive | Raspberry Pi

OpenCV Vehicle Detection, Tracking, and Speed Estimation

In this tutorial, you will learn how to use OpenCV and Deep Learning to detect vehicles in video streams, track them, and apply speed estimation to detect the MPH/KPH of the moving vehicle. This tutorial is inspired by PyImageSearch readers who have emailed me asking for speed estimation computer vision solutions. As pedestrians taking the […]

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Getting started with Google Coral’s TPU USB Accelerator

In this tutorial, you will learn how to configure your Google Coral TPU USB Accelerator on Raspberry Pi and Ubuntu. You’ll then learn how to perform classification and object detection using Google Coral’s USB Accelerator. A few weeks ago, Google released “Coral”, a super fast, “no internet required” development board and USB accelerator that enables […]

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The Raspberry Pi for Computer Vision Kickstarter is now LIVE!

The Raspberry Pi for Computer Vision Kickstarter is officially LIVE! To back the Kickstarter campaign (and claim your copy of RPi for CV/my other books and courses at the 15-25% OFF discounted rates), just use the link below: https://www.kickstarter.com/projects/adrianrosebrock/raspberry-pi-for-computer-vision-ebook?ref=project_build And remember, I’m offering an additional 15% OFF the already discounted bundle prices for the first 10 […]

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OpenVINO, OpenCV, and Movidius NCS on the Raspberry Pi

Inside this tutorial, you will learn how to utilize the OpenVINO toolkit with OpenCV for faster deep learning inference on the Raspberry Pi. Raspberry Pis are great — I love the quality hardware and the supportive community built around the device. That said, for deep learning, the current Raspberry Pi hardware is inherently resource-constrained and […]

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