Omotenashi Pepper

Inspiration

• Manpower shortage in restaurant industry
• Tokyo Olympic Games: Trends of foreigners visiting Japan

What it does

• Target Example: Izakaya
• Foreign attention
• Difficulty in rapid increase
• Response to foreign languages
• HACK points: Automatic detection of vacancy situation!
• HACK points（２）:Automatic detection of drinking!
• Ordering a recommended item
• Giving appreciative words
• Talking to Pepper with a smile
• Gamefying interaction with Pepper !

Reflect on the discount rate of coupons that you can get in your account!!

How we built it

Challenges we ran into

Accomplishments that we're proud of

• Making customer server interaction more creative.

What we learned

• Difficulty of SLAM implementation

What's next for Omotenashi Pepper

• Foreign languages corresponding
• menu recommendation by machine learning

Slide

https://docs.google.com/presentation/d/1ZDRl3l0P611GdmQIqexHuQsQU6QSeGYPCO_kuGrJeNQ/edit

Demo Movie

https://drive.google.com/file/d/0Bzk4QF5cMvqXX0c5TVpwaF9wYWc/view?usp=sharing

Built With

• arduino
• c#
• javascript
• mesh
• node.js
• pepper
• python
• raspberry-pi