Title: Learn how to identify wine bottles in a snap (of your smartphone). - PyImageSearch

URL Source: https://pyimagesearch.com/2015/02/10/learn-identify-wine-bottles-snap-smartphone/

Published Time: 2015-02-10T16:00:04+00:00

Markdown Content:
[![Image 1: hand_gesture_recognition_2_kickstarter](data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20600%20467'%3E%3C/svg%3E)](https://www.kickstarter.com/projects/1186001332/pyimagesearch-gurus-become-a-computer-vision-openc)

We’re getting close to the end of the PyImageSearch Gurus Kickstarter — **_and we just hit our 2nd stretch goal!_**

This means that we’ll be learning all about **hand gesture recognition** inside the PyImageSearch Gurus computer vision course!

Anyway, over the past few days I have been visiting family. It’s amazing how much I’ve missed a good home-cooked meal — there is just something about the care and love that goes into a sit-down family dinner.

As myself and my mother sat down around the dinner table my father reached over to our wine rack and pulled down a bottle of red, slowly uncorked it, and poured a little into my glass for a taste.

Examining the wine, I titled my glass to the side so I could investigate the color against my white napkin: mahogany, with a slight brick color.

I then swirled the wine for a couple seconds, aerating the wine and allowing the tannins to mellow before taking in three sharp breaths through the nose and one deep breath through the mouth

I had only one word to describe this wine:

**_Glorious._**

And right as the first taste of wine met my lips, the next stretch goal for PyImageSearch Gurus hit me so hard that I nearly spit the delicious wine across the room like a cartoon character:

**A complete how-to guide and tutorial on building an app to recognize wine bottles.**

[![Image 2: wine_recognition](data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20230%20400'%3E%3C/svg%3E)](https://www.kickstarter.com/projects/1186001332/pyimagesearch-gurus-become-a-computer-vision-openc)

**Figure 1:** Learn how to use computer vision, image processing, and machine learning to automatically recognize wine labels.

For example, have you ever heard of the [Vivino wine scanning app](http://www.vivino.com/)?

Basically, it’s a mobile app that allows you to snap a photo of a wine bottle and then instantly identify it, view ratings, and even purchase a bottle!

And If we reach our **_third stretch_** goal we’ll build upon **_first stretch goal_** (learning how to incorporate computer vision into mobile applications), and build our own version of Vivino.

At the end of this guide you’ll have a **fully functioning wine identification app** that you can use at your own leisure — and even submit to the App Store!

So what do you think?

Do you want to build an entire mobile computer vision application from front to back? And maybe even make a few dollars on the App Store?

It sounds like a good investment to me — but I’ll let you be the judge.

There are less than **_72 hours left_** in the PyImageSearch Gurus Kickstarter until the doors close. And once the doors close, **_they will not re-open again until August!_**

If you haven’t joined the course yet (or want to upgrade your reward so we can reach the third stretch goal), just use this link:

[https://www.kickstarter.com/projects/1186001332/pyimagesearch-gurus-become-a-computer-vision-openc](https://www.kickstarter.com/projects/1186001332/pyimagesearch-gurus-become-a-computer-vision-openc)

And thank you again for making this such a successful campaign. I am unbelievably grateful for you and your support — and I can’t wait to see you inside the PyImageSearch Gurus course!

### What's next? We recommend [PyImageSearch University](https://pyimagesearch.com/pyimagesearch-university/?utm_source=blogPost&utm_medium=bottomBanner&utm_campaign=What%27s%20next%3F%20I%20recommend).

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#### **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.