Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
Master Thesis: Real Time Enhancement of Printed Receipts with Augmented Reality
You will use computer vision to identify food products from a printed receipt. Further, you build a Unity application for Mobile or Hololens/MagicLeap in which users will become able to see the health impact of purchased groceries.
**The Topic**
Obesity, diabetes type II and other overweight related illnesses take a significant toll on patients and the health care sector. Our project “NutriBonAR” will be a digital, Augmented Reality shopping coach and aims to increase
transparency between retailers, food producers and
consumers: Consumers can use their phone or headset (Microsoft Hololens or Magic Leap One) to look at a grocery receipt and your app will use text recognition, machine learning and our product database to identify and rank products based on each product’s ingredients. Your prototype will make shopping decisions easier for consumers, and you should be able to show its feasibility within a user acceptance study. We want to observe how the AR solution ranks when compared to a product scanning app in terms of consumer attitudes, intention & behavior.
**The Thesis**
You build a Unity application in which users will become able to recognize bought product items through OCR and see their nutritional impact from their ingredients (ingredient data retrieved from our own database). Your prototype might look something like our demo: https://www.youtube.com/watch?v=dvk7RosUCq8. As this entirely digital
intervention is a novelty in the retail sector, you have the chance to become a co-author of a scientific paper in a top conference or journal.
**You are**
You are
• familiar with developing a Unity app AR (Augmented
Reality)
• product image & ingredient DB available for quickstart
• experienced with API frameworks
• capable of reading scientific articles
• motivated to participate on current research
**The Topic** Obesity, diabetes type II and other overweight related illnesses take a significant toll on patients and the health care sector. Our project “NutriBonAR” will be a digital, Augmented Reality shopping coach and aims to increase transparency between retailers, food producers and consumers: Consumers can use their phone or headset (Microsoft Hololens or Magic Leap One) to look at a grocery receipt and your app will use text recognition, machine learning and our product database to identify and rank products based on each product’s ingredients. Your prototype will make shopping decisions easier for consumers, and you should be able to show its feasibility within a user acceptance study. We want to observe how the AR solution ranks when compared to a product scanning app in terms of consumer attitudes, intention & behavior.
**The Thesis** You build a Unity application in which users will become able to recognize bought product items through OCR and see their nutritional impact from their ingredients (ingredient data retrieved from our own database). Your prototype might look something like our demo: https://www.youtube.com/watch?v=dvk7RosUCq8. As this entirely digital intervention is a novelty in the retail sector, you have the chance to become a co-author of a scientific paper in a top conference or journal.
**You are** You are • familiar with developing a Unity app AR (Augmented Reality) • product image & ingredient DB available for quickstart • experienced with API frameworks • capable of reading scientific articles • motivated to participate on current research
You build a Unity application in which users will become able to recognize bought product items through OCR and see their nutritional impact from their ingredients (ingredient data retrieved from our own database). Your prototype might look something like our demo: https://www.youtube.com/watch?v=dvk7RosUCq8. As this entirely digital intervention is a novelty in the retail sector, you have the chance to become a co-author of a scientific paper in a top
conference or journal.
You build a Unity application in which users will become able to recognize bought product items through OCR and see their nutritional impact from their ingredients (ingredient data retrieved from our own database). Your prototype might look something like our demo: https://www.youtube.com/watch?v=dvk7RosUCq8. As this entirely digital intervention is a novelty in the retail sector, you have the chance to become a co-author of a scientific paper in a top conference or journal.
Klaus Fuchs
ETH Zürich, D-MTEC
Weinbergstrasse 56/58
8092 Zürich
Phone: +41 44 633 89 15
fuchsk@ethz.ch
www.autoidlabs.ch
www.im.ethz.ch
Klaus Fuchs ETH Zürich, D-MTEC Weinbergstrasse 56/58 8092 Zürich