Hackathon Stuttgart 2017

Hackathon ’17 after video

Winner Teams 2017

Gallery 2017

Summary of pitched Projects ’17

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. 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.

Verwendete Technologien: Bosch IOT Cloud, Tlnkerforce, Amigobot, Raspberry Pi, Dweet

Here you can find the presentation.


One Of the biggest problems Car2Go customers complain about are dirty cars. We solve this problem by re-engineering the user inter-action inside the car with help of artificial intelligence.

Verwendete Technologien: OpenShift, Docker, IBM Watson / Microsoft Azure, Speech & Image Recognition, Camera & Microphone

Here you can find the presentation.


The main concept of this project is to provide a demand prediction information based on a machine- learning algorithm, which takes statistics data and circumstances into account to supply every customer with a car! The solution was deployed in the cloud. Used platforms, gadgets: Backend: Python, NumPy,scikit-learn, GO, SQLite. Frontend: Html, Javascript, Car2Go API, Google Maps API Idea description: The main concept of this project is to provide a demand prediction information based on a machine- learning algorithm, which takes statistics data and circumstances into account to supply every customer with a car! The solution was deployed in the cloud.

Verwendete Technologien: Backend: Python, NumPy,scikit-learn, GO, SQLite. Frontend: Html, Javascript, Car2Go API, Google Maps API


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! Used platforms, gadgets: Amazon echo, Microsoft Azure, Raspberry Pi, Waveshare 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!

Verwendete Technologien: Amazon echo, Microsoft Azure, Raspberry Pi, Waveshare


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 3D- printed car-models on the map. Used platforms, gadgets: Lenze delta robot, Car2Go, Dremel 3D-printer 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 3D- printed car-models on the map.

Verwendete Technologien: Lenze delta robot, Car2Go, Dremel 3D-printer


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. Used platforms, gadgets: Arduino, Raspberry Pi, 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.

Verwendete Technologien: Arduino, Raspberry Pi, 

Here you can find the presentation.

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. Used platforms, gadgets: ESP8266, RFID-RC522, iBeacons, Raspberry Pl 3, Label Printer, MySQL, NodeJS 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.

Verwendete Technologien: ESP8266, RFID-RC522, iBeacons, Raspberry Pl 3, Label Printer, MySQL, NodeJS

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.

Verwendete Technologien: socket.io, Angular JS, Phaser JS, Android, Heroku, Tinkerforge, iOS native, Motion wristband N/A

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.

Verwendete Technologien: AlphaBot 2 Pi, Html, JavaScript, Python, car2go API, MATLAB N/A

Here you can find the presentation.

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.

Technologien: Waveshare, Alphabot 2 Pi, Adruino N/A

Here you can find the presentation.

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

Verwendete Technologien: OpenShift, Docker, IBM Watson / Microsoft Azure, Speech & Image Recognition, Camera & Microphone 

AR-puzzle game using Google Tango devices and various IOT devices. Step I: 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. Used platforms, gadgets: Google Tango, Sphero, Raspberry Pi, (Phillips hue, water dispensers), Android, unity, NodeJS Idea description: AR-puzzle game using Google Tango devices and various IOT devices. Step I: 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.

Technologien: Google Tango, Sphero, Raspberry Pi, (Phillips hue, water dispensers), Android, unity, NodeJS 

Here you can find the presentation

Individual labeling for fruits and vegi With Trumpf laser technology.

Technologien: Backend: Trumpf laser, NTT Data Altemista Cloud Idea description: Individual labeling for fruits and vegi With Trumpf laser technology. Used platforms, gadgets: Trumpf laser, NTT Data Altemista Cloud 

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. Used platforms, gadgets: Rasperry Pi, Master Brick, Servo Brick, Motion detection Brick, Amazon Echo, Firebase, Pi Camera 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.

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

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 try to break gods commandments…

Technologien: Backend: Hue, Echo Dot, Kärcher Luftfilter, Kärcher Wasser, Kärcher Maschine, iBeacon, Heroku N/A

Die Präsentation findet Ihr hier

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! Used platforms, gadgets: Lenze Robot, Trumpf Laser, DB Api, Heroku, 3D printer, Arduino, Raspberry Pi, Linear Slider, Ultra-Sonic-Distance-Measurement-Sesnor, Servor, Stepper Motor, possible a camera for QC-Code recognition 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!

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

Here you can find the presenation.

Summary of other Projects ’17

The main idea for this project was to develop a electronic pet – short ePet – based on the provided AlphaBot 2. The ePet was supposed be controlled via speech through Alexa. It should have been able to communicate and play games with the user.

Verwendete Technologien: Bosch IOT Cloud, Tlnkerforce, Amigobot, Raspberry Pi, Dweet

Here you can find the presentation


Smart Motion Control is a flexible, open- source 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.

Verwendete Technologien: Kinetic Wristband, Sony Smartwatch 3, Raspberry 3 Model B, radio controlled switch kit N/A


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.

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


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.

Verwendete Technologien: Amigobot, Rasperry Pi, Amazon Echo, Bosch IOT cloud, ROS


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! Used platforms, gadgets: Raspberry 3, e-lnk display, Tinkerforge GPS Brick, MS Kinect 2, Heroku, Ultimaker 3D Printer, QR- Codes, Java, Angular / Ionic, C++, Python, NoSQL (MongoDB) 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!

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


Bringing emotion through sense into virtual modeling. Used platforms, gadgets: Kinemic, Alex, Rhinoceros, Grasshopper Idea description: Bringing emotion through sense into virtual modeling.

Verwendete Technologien: Kinemic, Alex, Rhinoceros, Grasshopper 

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 first- person live video from robots‘ camera — MAXIMIZE THE FUN! Used platforms, gadgets: AlphaBot2, Gesture Band, AR Glasses Recon, Car2Go, Raspberry, NodeJS, Phython, Flask 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 first- person live video from robots‘ camera — MAXIMIZE THE FUN!

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

Visualization and expansion Of environmental data utilizing OpenData and user-provided info. Used platforms, gadgets: NTT Data Altemista Cloud, Tinkerforge Bricklets, Android, OpenStreetMap Idea description: Visualization and expansion Of environmental data utilizing OpenData and user-provided info.

Verwendete Technologien: NTT Data Altemista Cloud, Tinkerforge Bricklets, Android, OpenStreetMap

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 Used platforms, gadgets: IBM Bluemix, IBM Watson IOT, Watson Speech, Amazon Alexa, Philips Hue, Bosch IOT Cloud, Rasperry Pi, Tinkerforge Bricklets 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.

Verwendete Technologien: IBM Bluemix, IBM Watson IOT, Watson Speech, Amazon Alexa, Philips Hue, Bosch IOT Cloud, Rasperry Pi, Tinkerforge Bricklets

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. Used platforms, gadgets: Tinkerforge bricks and bricklets, Microsoft Azure Emotion API, Philips Hue, Python 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.

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

Control an Arduino robot using a web interface and speech recognition.

Verwendete Technologien: Smart Car Kit V2.O for Arduino Web Server

Control a car with hand gestures! Used platforms, gadgets: Kinetic for gesture Tracking, Arduino car Kit Idea description: Control a car with hand gestures!

Technologien: Kinetic for gesture Tracking, Arduino car Kit

Unfortunately we dont have a record of this teams presentation.