Session Details

W-JAX | 6. - 10. November 2017, München

Armin Hamzic


07 Nov 2017
18:00 - 19:00
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Food and A.I. – a tasty combination. Learn how we combined the two.

07 Nov 2017
18:00 - 19:00

Today, if we discuss where Computer Vison or Machine Learning are used, then you’re likely to think of Google’s self-driving car, Amazon’s Alexa or Apple’s Siri. You probably wont think about how these technologies can be used in a food-court or canteen. But we did.  We developed Trayzi, an A.I. checkout system for the food retail industry.

In this presentation, I’ll show you how we’ve built Trayzi using cutting edge technology. I’ll introduce you to our AWS cloud backend, where we handle a huge amount of image data every day. I’ll give the rundown on some of the challenges we’ve experience with Machine Learning.  We’ll look at how we’re using Deep Learning for food detection and classification. And finally, I’ll explain how we managed to fit this into a working product.

After this presentation, you should have some new ideas on how you, too, might fit cutting edge technology into a commercial product.

Ab jetzt exklusive Neuigkeiten erhalten:

Behind the Tracks

Agile & Culture
Teamwork & Methoden

Big Data & Machine Learning
Speicherung, Processing & mehr

Clouds, Container & Serverless
Alles rund um Cloud

Core Java & JVM Languages
Ausblicke & Best Practices

DevOps & Continuous Delivery
Deployment, Docker & mehr

Strukturen & Frameworks

Web Development & JavaScript
JS & Webtechnologien

Performance & Security
Sichere Webanwendungen

Serverside & Enterprise Java
Spring, JDK & mehr

Digital Transformation & Innovation
Technologien & Vorgehensweisen

Software Architecture
Best Practices