ENARGY; A CLEVER°FRANKE Experiment
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At CLEVER°FRANKE, we focus on experimenting at the intersection of design and development, challenging ourselves with emerging technologies, acquiring knowledge, developing new techniques and nurturing our curiosity. This prototype was an exploration into a better way to visually represent streams of energy and their consumption in the home. Our prototype uses image recognition to find appliances and with Augmented Reality, visually map streams of energy and display information on their consumption and the costs associated with their use.
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ENARGY; A CLEVER°FRANKE Experiment
- 1. Exploring data and energy expenditure in the home through radical prototyping ROLE Concept / UI / UX / Visual Design / Front End Development YEAR 2017 A CLEVER°FRANKE EXPERIMENT
- 2. Background
- 3. INTRODUCTION At CLEVER°FRANKE, we focus on experimenting at the intersection of design and development, challenging ourselves with emerging technologies, acquiring knowledge, developing new techniques and nurturing our curiosity.
- 4. RESEARCH QUESTION How can energy consumption and data use in the home be presented in an engaging way?
- 5. Process
- 6. BRAINSTORM SESSION To better understand the challenge, we had a brainstorm session, mapping the possibilities and discovering interesting connections with other topics.
- 7. CONCEPT PHASE Taking our insights from the session, we developed simple ideas to expand on the concept directions, enabling us to select the best idea.
- 8. TECHNICAL EXPLORATION Augmented Reality ARKit Core ML Machine Learning (Object Recognition) UI & State Management React Native IOS Augmented Reality ARCore Tensor Flow Machine Learning (Object Recognition) ANDROID
- 9. Concept
- 10. CONCEPT Our insights from the process and research phase led to the concept of an Augmented Reality prototype, able to recognize devices and appliances that consume gas, water, electricity, and use data. The app visualizes household expenditure through a new, engaging interface.
- 11. KEY CONCEPTS A compelling interface readily provides beautifully visualized insights into energy and data use of home devices and appliances. LAMP LAMP TV TV HEATER TV MACBOOK METER CABINET CV - 10 watt CV - 10 watt 2000watt TV - 1600 watt CV - 1600 watt 30 watt 30 watt HEATER HEATER TV 2 LAMP
- 12. KEY CONCEPTS Intelligent layering traces energy and data streams of each device visually and granularly. GROUP 2 META INFO HEATER €1,32 Per uur 230 V - 2000 W 50 Hz €0,80 Per uur 190 V - 1800 W 50 Hz NOW AVG. MONTH 4 % OF HOUSEHOLD
- 13. PRODUCT ECOSYSTEM GAS flow meter WATER flow meter CLOUD OR SMARTHUB EXTENDED APP CONNECT WITH GAS WATER LIGHT SUPPLIER CONTRACT LoRa LIGHT Smart plug DATA Modem
- 14. MINIMUM VIABLE CONCEPT To ensure the feasibility of the prototype, we took the decision to begin with the core features of the app, to prove the concept and added value of the solution. FACTORY SPECS OBJECT RECOGNITION BASIC FREE APP
- 15. The prototype recognizes devices using machine learning and visualizes energy and data streams running through the home. Color specifies the nature of the source while the weight of the stream indicates expenditure relative to the entire home. Pointing at a device calls up information on its energy consumption. A smart sensor allows detailed, historical data visualizations while standard devices display manufacturer averages. Visualizing this information allows users to understand their expenditure in an immersive, engaging fashion, enabling them to manage their consumption with minimum effort. DESIGN CHALLENGE gas water data electricity
- 16. The prototype app uses Apple’s ARKit to superimpose virtual objects on the real world in Augmented Reality. Further expansion with Apple's machine learning library CoreML, could enable object recognition. On Android devices, ARCore could be implimented for the Augmented Reality functionality, and Google's machine learning platform TensorFlow Mobile for object recognition capabilities. The app uses React Native, which enabled us to quickly build and validate the application. TECH CHALLENGE
- 17. Result
- 19. VISUAL DIRECTION NORMAL USING THE APP
- 20. VISUAL DIRECTION
- 21. VISUAL DIRECTION
- 22. View demo DEMO
- 24. © CLEVERFRANKE B.V. All rights reserved. All content is confidential unless explicitly specified otherwise. C°F Utrecht office Plompetorengracht 4 3512 CC Utrecht the Netherlands C°F Chicago office 222 W. Merchandise Mart Plaza Suite 570, 5th Floor Chicago, IL 60654 United States of America Contact information Email: info@cleverfranke.com Utrecht: +31 30 785 19 26 Chicago: +1 312 380 0166 www.cleverfranke.com