Overview of Hackathon Stuttgart 2017 teams

Here you can see all the teams that attended at Hackathon Stuttgart 2017 and read about their ideas. Also you can see what technologies they used to bring their project to life. Sadly five teams had to give up before the pitches. Thats why their team numbers are missing. But all the others, the two awesome school teams as well, are listed in this overview. Have fun!

School teams

FPGZ

Speech Control Robot

hackstgt17 winners so2 fpgz
Idea description:
Control an Arduino robot using a web interface and speech recognition
Tech Stack:
 Smart Car Kit V2.0 for Arduino Web Server

#StiftsHack

Motion Controlled Car

hackstgt17 winners so1 sgs
Idea description:
Control a car with hand gestures!
Tech Stack:
Kinetic for gesture tracking, Arduino, Car Kit

Team #1 – ePet

The speech crontrolled virtual pet

hackstgt17 teams 1
Idea description:
A robot as pet that expresses his mood via obedience. The user can interact using speech or a mobile phone app. The pet’s mood can be improved with games
and strokes.
Tech Stack:
Alphabot 2, Bosch IOT Cloud, Alexa, Mobile app

Team 2 – Clean Car

Every Car2Go Customer gets a clean car

hackstgt17 teams 2
Idea description:
One of the biggest problems Car2Go customers complain about are dirty cars. We solve this problem by re-engineering the user interaction inside the car with help of artificial intelligence.
Teck Stack:
OpenShift, Docker, IBM Watson / Microsoft Azure, Speech & Image Recognition, Camera & Microphone

Team #3 – Smart Motion Control

Remote Control

hackstgt17 teams 3
Idea description:

Smart Motion Control is a flexible, opensource and universal system to control various connectivity devices by gestures. This way the whole smart home can be controlled by gestures. We use wristbands and smart watches to capture raw motion data of the user, The actions are trigger by a Raspberry Pi.

Tech Stack:

Kinetic Wristband, Sony Smartwatch, 3, Raspberry 3 Model B, radio controlled switch kit

Team #4 – Chaos Unicorn Network

Dark Fairytale
hackstgt17 teams 4
Idea description:

Four players are in an escape room. Every player has one character (vampire, evil fairy, reaper, black magician) connected to features. At the beginning, they are stuck in a happy fairytale world. Since they are characters of darkness, they hate all this joyfulness and wish themselves back to darkness. To make wish come true, they to break gods commandments…

Teck Stack:

Hue, Echo Dot, Kärcher Luftfilter, Kärcher Wasser, Kärcher Maschine, iBeacon, Heroku

Team #5 – Kamer

Real time Fleet Management
hackstgt17 teams 5
Idea description:

The main idea is when a user wanted to use the car sharing robot. The application should locate the user’s current location and destination. Based on his location and destination, the nearest robot is chosen for driving. The algorithm developed is to efficiently save time and use the shortest distance to reach the user and the destination.

Tech Stack:

Alphabot2-Pi, Arduino MCU, Sensors, C, C++,Python, Mobile App (HTML5, CSS3, JS, Angular JS), Car2Go API

Team #7 – Dratuti

Cars demand prediction model for Car2Go
hackstgt17 teams 7
Idea description:
The main concept of this project is to provide a demand prediction information based on a machinelearning algorithm, which takes statistics data and circumstances into account to supply every customer with a car! The solution was deployed in the cloud.
Tech Stack:
Backend: Python, NumPy, scikit-Iearn, Go, SQLite, Frontend: Html, Javascript, Car2Go API, Google Maps API
Team #9 – Soil Rover
Analyzing soil moisture using autonomous bot for efficient irrigation
hackstgt17 teams 9
Idea description:

Todays irrigation and garden watering techniques rely on sprinklers operated on a timed schedule. Due to rain, moisture content of soil may vary and isn’t uniform everywhere. With a swarm of soil rovers, we can analyze moisture content quickly so that appropriate distribution of water (irrigation) can be applied.

Advantages: Reduction in wastage of water, Better yield of crops, No damp gardens.

Tech Stack:

Bosch IOT Cloud, Tinkerforce, Amigobot, Raspberry Pi, Dweet
Team #10 – confood
connected food
hackstgt17 teams 10
Idea description:
Individual labeling for fruits and vegies with Trumpf laser technology.
Tech Stack:
Trumpf laser, NTT Data Altemista Cloud

Team #11 – 71

ButlerBot at a bar

hackstgt17 teams 11
Idea description:

Picture the situation of a totally crowded bar and only one bar keeper. In this situation, the barkeeper would be totally lost. But not with our „ButlerBot“! It manages and delivers the orders and the barkeeper can focus on his main task: getting the drinks ready!

Tech Stack:

Amazon echo, Microsoft Azure, Raspberry Pi, Waveshare

Team #12 – Hallo Platoon!

Autonomous vehicles platooning together!

hackstgt17 teams 12
Idea description:

The idea is to make a user-interactive call for an autonomous car. The user just requests Alexa for a car (autonomous taxi). The information is then processed in the cloud. The cars are moved autonomously from an area of less demand to the area of more demand by means of connected-autonomous platoons.

Tech Stack:

Amigobot, Rasperry Pi, Amazon Echo, Bosch IOT cloud, ROS

Team # 13 – Naked Factory

Live cost tracking & material flow simulation
hackstgt17 teams 13
Idea description:
Naked factory visualizes resource consumption and material flow to indicate incurred costs. Every factory should be easily managed by measures to maintain efficiency of processes to stay profitable with the best output. Naked factory provides the tool to factory owners to fulfill their customers‘ needs.
Tech Stack:
ESP8266, RFlD-RC522, iBeacons, Raspberry PI 3, Label Printer, MySQL, NodeJS

Team #14 – Pickman

Fresh IOT vending machine for train stations
hackstgt17 teams 14
Idea description:

Get customized food like a lunchbox just in time and chose your favorite ingredients in advance at your app or chose from special offers. The IOT-Robot will prepare your meal and you can pick it up. It will be fresh, regional and seasonal. A smart deposit system also reduces waste!

Tech Stack:

Lenze Robot, Trumpf Laser, DB Api, Heroku, 3D printer, Arduino, Raspberry Pi, Linear Slider, Ultra-Sonic-Distance-Measurement-Sesnor, Servor, StepperMotor, possible a camera for QC-Code recognition

Team # 16 – Car-€-Zone

Car-€-Zone — your universal car wallet
hackstgt17 teams 16
Idea description:

You know the problem: you’re in your car and your wallet is in your trunk. What if your car can pay for you in certain situations? Imagine you’re travelling from Germany to Croatia and your car already knows that you’ll have to pay toll fees in Austria & Italy — why not buy all tickets upfront? Or use your car to pay in your burger place’s drive through? Even cooler: order @ home and just drive through — your burger place already knows your order and will prepare it freshly. Your car is your univseral wallet!

Tech Stack:

Raspberry 3, e-lnk display, TinkerforgeGPS Brick, MS Kinect 2, Heroku, Ultimaker 3D Printer, QR-Codes, Java, Angular / Ionic, C++, Python, NoSQL (MongoDB)

Team # 17 – Go2Car

G02CAR — Teaming up to share! #swoop
hackstgt17 teams 17
Idea description:
With our mobile G02CAR app, users can join one of three teams and „swoop“ cars/vehicles in their proximity (via QR code or NFC). Each vehicle has a number of slots for users. The team with the majority of slots gains benefits from car2go when using the specific vehicle.
Tech Stack:
Car2Go Fleet Management API

Team #18 – Command&Swarm

Optimal distribution of autonomous cabs based on customer data
hackstgt17 teams 18
Idea description:

Based on customer data, we generate a density function describing the optimal distribution of the cabs. Subsequently, the distribution is achieved utilizing coverage control. Since the demand is time-varying with next-to-no prior knowledge, we position the cabs dynamically using Centroidal Voronoi tessellations.

Tech Stack:

AlphaBot 2 Pi, Html, JavaScript, Python, car2go API, MATLAB

Team #20 – Hello Technology

My Pure Air

hackstgt17 teams 20
Idea description:

Particulate matter and other nitrogen oxides affect our health and therefore our quality of life. Even if you are using a bike for your ways you might breathe bad air. With a mobile measurement device we guide the users to healthier routes and optimize their routined ways.

Tech Stack:
Arduino, Raspberry Pi

Team #21 – Hack’n’Slay

Intellilight — Let the traffic Flow!
hackstgt17 teams 21
Idea description:

Especially in big cities like Stuttgart, particulate matter emissions due to poor traffic flow impose a serious threat to public health.

Our approach tackles this challenge by enabling decentralized Car-2-X communication, today! We’ve built a universal IoT-upgrade for light signals to provide real-time information to car drivers. As each individual will be able to optimize their driving behavior, emissions and fuel consumption will be reduced.

Tech Stack:

Waveshare, Alphabot 2 Pi, Adruino Uno

Team #23 – 44Forge

Ghost in the machine

hackstgt17 teams 23
Idea description:
AR-puzzle game using Google Tango devices and various IOT devices.
Step 1: The game master scans the game area and places „ghosts“ (+puzzles)
Step 2: The player searches the area for ghosts and solves their puzzles by interacting with the devices.
Tech Stack:

Google Tango, Sphero, Raspberry Pi, (Phillips hue, water dispensers), Android, Unity, NodeJS

Team #24 – Re:Shape

Sense Matters.
hackstgt17 teams 24
Idea description:

Bringing emotion through sense into virtual modeling.

Tech Stack:

Kinemic, Alex, Rhinoceros, Grasshopper

Team #25 – Wriggle

Wriggle!
hackstgt17 teams 25
Idea description:

Wriggle is a gesture-controlled game with the main goal to encourage people to interact with each other while playing a healthy improving game. The API is open so we can connect any motion-controller we want, e.g. dance mats, bikes or smartphones

Tech Stack:

socket.io, Angular JS, Phaser JS, Android, Heroku, Tinkerforge, iOS native, Motion wristband

Team #26 – Car 2 Play

Das ultimative AlphaBot Spiel — Rocket League
hackstgt17 teams 26
Idea description:

Play football with AlphaBots!

Our fun multiplayer-game is fun for the whole family! Team up and try to score a goal by moving he car with the AlphaBot. The robots can be controlled right from the amazing iPhone app. The live video feed shows a firstperson live video from robots‘ camera — MAXIMIZE THE FUN!

Tech Stack:

AlphaBot2, Gesture Band, AR Glasses, Recon, Car2Go, Raspberry, NodeJS, Phython, Flask

Team #27 – Team Null

Green City
hackstgt17 teams 27
Idea description:
Visualization and expansion of environmental data utilizing OpenData and user-provided
Tech Stack:
NTT Data Altemista Cloud, Tinkerforge, Bricklets, Android, OpenStreetMap

Team #28 – OMNI

A smart Energy and Home Assistant
hackstgt17 teams 28
Idea description:

OMNI is a smart Home and Energy assistant which helps you make the best use of Green Energy, by helping you manage the household tasks better. OMNI also helps you get the best market price for your household electricity generated via photovoltaics or wind turbines

Tech Stack:

IBM Bluemix, IBM Watson IOT, Watson Speech, Amazon Alexa, Philips Hue, Bosch IOTCloud, Rasperry Pi, Tinkerforge Bricklets

Team #29 – Smart 17

MODIFY.ME

hackstgt17 teams 29
Idea description:

Our idea is to customize the driving experience and atmosphere at home based on the mood of a person. We use the personal calendar, emotion and gesture recognition to predict the mood, and accordingly provide suitable music, lighting and other comfort features.

Tech Stack:

Tinkerforge bricks and bricklets, Microsoft Azure Emotion API, Philips Hue, Python

Team #30 – Car2Go Wunderland

Car2Go Wunderland
hackstgt17 teams 30
Idea description:

This project aims to represent the locations of parked Car2Go-cars on a physical map. We fetch the locations of the cars from the Car2Go API and send scaled coordinates to the Lenze delta robot, which places 3Dprinted car-models on the map.

Tech Stack:

Lenze delta robot, Car2Go API, Dremel 3D-printer

Team #31 – Smart Food

Smart Food
hackstgt17 teams 31
Idea description:

Food wastage should be minimized — too much is thrown away. We want to provide an easy, low cost solution to the problem. Object recognition through camera that tracks what is at home. The user is inspired with recipes he can cook with his ingredients at home.

Tech Stack:

Rasperry Pi, Master Brick, Servo Brick, Motion detection Brick, Amazon Echo, Firebase, Pi Camera