Wednesday, December 6, 2017

Wine Scanner For Christmas!

MyŒno team has developed a wine scanner that objectively characterizes the style of the wine you are savouring.

The measurement is taken without sampling and with no chemical interaction, so as not to alter the wine. Using MyŒno, you will no longer choose your wine by chance, but according to YOUR taste.


Why this Invention?
Who hasn't ever felt lost when faced with the multitude of bottles of wine  lined up on a supermarket shelf?

This situation is even more representative since 80% of bottles of wine purchased are acquired in big-box stores, which can represent over 1500 different items on the shelf... The default solution often consists of deciding based on the only criteria accessible to everyone: price.

Other wine applications provide people’s opinions. But to each his own taste! This is not because other people like a wine that you will love it for sure. That’s why our algorithm is based on the measures from the MyŒno Scan. A touch of objective information will help you to secure your choices. 
Knowing the characteristics of a bottle without having to uncork it? It's finally possible! Thanks to the Scans done by the community, you will know the style of a wine. All without having to rely solely on many ratings by other tasters, whose tastes can be different from your own.

Features:
The features of MyŒno enable you to solve this problem. Once the MyŒno Scan tool is immersed in your glass of wine, the MyŒno App will give you immediate access to many pieces of information:


It is extremely difficult to remember the nature of all the wines tasted over time. Suggestions of similar wines give the user a simple, fast first level of discrimination when confronted with the complexity of the current offering of wines (country, region, appellation, estate, chateau, vintages, varieties, etc.). In this way, MyŒno serves as a decision-making aide, making it possible to both reassure the user in their choices/purchases and to discover new labels.

From its name when you are looking at a restaurant wine list. Our Kickstarter campaign will enable to add the automatic recognition of labels in our App.

Search for wines with a style you can define arbitrarily. This feature enables the user to discover different styles. Tasting a wine also means opening up to other styles.

But how Does it Works:

As a wine lover, you have probably already realized that the color of a wine gives you relevant information on its style in the mouth.

Many independent scientific studies have established strong correlations between the spectrometric analysis of a wine and its fundamental oenological characteristics (strength, tannins, and acidity) sensed during tasting. Our algorithm was developed using this rich scientific literature and was compared, in blind testing, to the sensations of professionals and well-informed wine enthusiasts.

Our technology is based on spectrum visible and near-visible analysis. Specific wavelength are emited and cross the wine located on the MyŒno Scan interstice. The absorption of each wavelength by the wine are compiled in our algorithm and translated to oenological characteristics. To be reproducible and reliable we subtract luminosity environment, thanks to a calibration before each measure.

The MyŒno technology can quantify each of the 4 oenological parameters on a basis of 100 (±2 depending on luminosity context). MyŒno is not intended to be a measuring device as such, but can be used to identify style resemblances in terms of Strength, Tannins, Acidity and Evolution. These styles are then supplemented by the aromatic palate which you are free to determine, using the MyŒno Tags.

There already exist sophisticated analytical tools (mass spectrometers, Oeno Resolution standard of 1/2006) aimed at wine-making professionals. These highly-precise laboratory tools are not portable, are costly, and often require damaging the sample. In light of this, MyŒno has developed the "MyŒno Scan" tool, specifically adapted to distinguishing the various styles of wines using reliable colorimetric indicators.


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