Title: My Raspberry Pi for Computer Vision Kickstarter will go live on Wednesday, April 10th at 10AM EDT. - PyImageSearch

URL Source: https://pyimagesearch.com/2019/04/03/my-raspberry-pi-for-computer-vision-kickstarter-will-go-live-on-wednesday-april-10th-at-10am-est/

Published Time: 2019-04-03T14:00:46+00:00

Markdown Content:
I’ve got big news to share today!

I’m super excited to announce that my **_Raspberry Pi for Computer Vision_ Kickstarter campaign** is set to launch in **exactly one week** on **Wednesday, April 10th at 10AM EDT.**

![Image 1](data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20600%20800'%3E%3C/svg%3E)

**Computer Vision**, **Deep Learning**, and **Internet of Things (IoT)** are three of the fastest-growing industries and subjects in computer science — **you will learn how to combine _all three_ using the Raspberry Pi inside my new book.**

Whether this is the first time you’ve worked with the Raspberry Pi or you’re a hobbyist who’s been hacking with the Pi for years, **_Raspberry Pi for Computer Vision_ will enable you to “bring sight” to the Pi.**

**Inside the book we will focus on:**

*   Getting started with computer vision on the Raspberry Pi
*   Computer vision and IoT projects on the Pi
*   Servos, PID, and controlling the Pi with computer vision
*   Human activity, home surveillance, and facial applications
*   Deep learning on the Raspberry Pi
*   Fast, efficient deep learning with the Movidius NCS and OpenVINO toolkit
*   Self-driving car applications on the Raspberry Pi
*   Tips, suggestions, and best practices when performing computer vision and deep learning with the RPi

I also have chapters planed on the **NVIDIA Jetson Nano** and **Google Coral** as well!

As a heads up, over the next 7 days I’ll be posting a few more announcements _that you won’t want to miss_, including:

#### Thursday, April 4th 2019

**A sneak preview of the Kickstarter campaign,** including a **demo video** of what you’ll find inside the book.

#### Friday, April 5th 2019

**The Table of Contents** for **_Raspberry Pi for Computer Vision._** This book is _practical_ and _hands-on_, giving you the knowledge you need to bring CV and DL to embedded devices. You don’t want to miss this list of chapters!

#### Monday, April 8th 2019

**The full list of Kickstarter rewards _(including early bird discounts and sales)._** You’ll be able to use this list to plan ahead for which reward tier you want when the Kickstarter launches.

#### Tuesday, April 9th 2019

Please keep in mind this book is already getting _a lot_ of attention so there will be **multiple people in line for each reward level** when the Kickstarter launches on Wednesday, April 10th at 10AM EDT. **To help ensure you get the reward tier you want, I’ll be sharing my _tips and suggestions_ you can use to ensure you’re first in line.**

#### Wednesday, April 10th 2019

**I’ll email you the Kickstarter campaign link** you can use to **claim your copy of RPi for CV, _as well as the additional discounts and sales!_**

To be notified when these announcements go live, [**be sure to signup for the _Raspberry Pi for Computer Vision_ Kickstarter notification list!**](https://app.monstercampaigns.com/c/lmpypnxz7n0g1h4v2puy/)

![Image 2](data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20410%20567'%3E%3C/svg%3E)

#### Join the PyImageSearch Newsletter and Grab My FREE 17-page Resource Guide PDF

Enter your email address below to **join the PyImageSearch Newsletter** and **download my FREE 17-page Resource Guide PDF** on Computer Vision, OpenCV, and Deep Learning.

![Image 3](data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20240%20240'%3E%3C/svg%3E)

#### **About the Author**

Hi there, I’m Adrian Rosebrock, PhD. All too often I see developers, students, and researchers wasting their time, studying the wrong things, and generally struggling to get started with Computer Vision, Deep Learning, and OpenCV. I created this website to show you what I believe is the best possible way to get your start.