NUS-ISS Learning Day 2019-Building IoT solutions with the Pi
- 1. Building IoT Solutions with the Pi Mini Hands-on #ISSLearningDay Dr Matthew Chua, NUS-ISS Mr. Nicholas Ho, NUS-ISS 2 August 2019
- 2. Dr CHUA Chin Heng Matthew, BEng, PhD, CSM, PMP Lecturer and Consultant, Smart Health Leadership Centre, Institute of Systems Science, NUS Honorary Joint Faculty, Saw Swee Hock School of Public Health, NUS Residential Fellow, Kent Ridge Hall, NUS Research Interests: Medical Systems, Robotics and Artificial Intelligence. Principal Investigator of over S$1 million of health grant funding #ISSLearningDay
- 3. Introduction • Data and IoT in Health industries forms the backbone of many applications in our society today • Applications ranges from: • Rehabilitation • Medical Devices • Assistive and Diagnostic Systems • Decision Systems • Monitoring Systems #ISSLearningDay
- 4. Enabling Technologies • These building blocks helps create synergy with data for health applications: • Machine Vision • Geo-tagging • Telepresence • Internet of Things • Robotics • Machine Learning • Software Systems and Design #ISSLearningDay https://tincture.io/robots-for-everyone-3fddd94f77e0 https://www.med-technews.com/features/medical-robots-friend-or-foe/
- 6. ISS Courses for your Consideration • NICF – Envisioning Smart Urban IoT Solutions • NICF – Developing Smart Urban IoT Solutions • NICF – Securing IoT • NICF – Architecting IoT Solutions • NICF – Visions Systems • NICF – Robotic Systems • NICF – Health Analytics #ISSLearningDay
- 7. About Nicholas Ho nicholashoishere@gmail.com Specialized in architecture, design & development • Augmented/Virtual Reality • Internet-of-Things (IoT) & Cyber-Physical System (CPS) • Artificial Intelligence 7
- 8. Contents • Introduction to Raspberry PI • Introduction to GrovePi+ Starter Kit • Introduction to AWS Products (Selected) • Mini Hands-on • Demonstration #ISSLearningDay
- 9. Introduction to Raspberry PI This section will enable you to understand what is a Raspberry PI and its potential use for IoT systems. #ISSLearningDay
- 10. What is a Raspberry PI? #ISSLearningDay Source: https://www.youtube.com/watch?v=f5CHEfdVE-Y
- 11. What is a Raspberry PI? Various components: 1. ARM CPU/GPU 2. GPIO (General-purpose input/output connection) 3. RCA (allows connection of analog TVs) 4. Audio out 5. LEDs 6. USB 7. HDMI 8. Power 9. SD cardslot 10. Ethernet #ISSLearningDay
- 12. What is a Raspberry PI? • An IoT device • Low cost, credit-card sized computer • Capable of doing everything a desktop computer can do • Ability to interact with the outside world • Built-in wireless/bluetooth connectivity #ISSLearningDay
- 13. Intro to GrovePi+ Starter Kit This section will enable you to understand what is a GrovePi+ Starter Kit and why it may be useful for beginners. #ISSLearningDay
- 14. Introduction to GrovePi+ Starter Kit #ISSLearningDay
- 15. Introduction to GrovePi+ Starter Kit #ISSLearningDay Source: https://www.youtube.com/watch?v=WnOJa4vlS3w
- 16. Introduction to GrovePi+ Starter Kit • Compatible with Raspberry Pi • Add-on board with 15 Grove 4-pin interfaces, which connects the Grove sensors to the PI • Easy-to-use and modular system • No need for soldering or breadboards; plug and play #ISSLearningDay
- 17. Introduction to GrovePi+ Starter Kit Many sensors selection: 1. Temperature 2. Humidity 3. Light 4. Sound 5. Ultrasonic 6. Rotary Angle #ISSLearningDay
- 18. Understanding Sensors • Light sensor – Analog • Sound sensor – Analog • Temperature & Humidity (DHT) Sensor – Digital
- 19. Introduction to AWS Products This section will enable you to understand are some of the AWS products that can be utilized to build IoT systems. #ISSLearningDay
- 20. • Managed cloud service that lets connected devices easily and securely interact with cloud applications and other devices • Supports HTTP, WebSockets, and MQTT • MQTT A lightweight communication protocol specifically designed to tolerate intermittent connections, minimize the code footprint on devices, and reduce network bandwidth requirements AWS IoT Core
- 21. • Cloud-based voice service • Voice user interface (VUI) design platform Build skills (i.e. configure keywords to recognize from voice) Test skills AWS Alexa Developer Console
- 22. Source: https://www.youtube.com/watch?v=qPFFLCBmJ68 Just for Laughs: Voice User Interface (VUI)
- 23. Mini Hands-on & Demonstrations This section will allow you to try out an already developed mini IoT system and understand what are its potential advantages at first hand. #ISSLearningDay
- 24. Stuff you need for a basic IoT System 1. Raspberry PI already-assembled with GrovePi+ board, and the Grove Sensors (i.e. LED, DHT, light, sound) 2. Charger for Raspberry PI 3. HDMI Wire 4. Monitor 5. Mouse and Keyboard #ISSLearningDay
- 25. (A) Basic Setup for PI The HDMI wire is connected from your Raspberry Pi’s HDMI port to the monitor: #ISSLearningDay
- 26. (A) Basic Setup for PI The charger is connected from the power supply to the PI: #ISSLearningDay Your monitor should display the PI desktop like the above image
- 27. (A) Basic Setup for PI The Mouse and Keyboard are connected to the USB ports of your PI: #ISSLearningDay
- 28. (A) Basic Setup for PI Your PI can be controlled by you like a PC/Laptop: #ISSLearningDay Note: The PI actually requires internal setup via the Linux command codes for it to work with Grove and AWS; this will only be covered in the full workshop. Your PI has already been programmed and updated to achieve AWS IoT functionalities.
- 29. (B) Testing your Sensors using your Assembled PI 1. Click on the Terminal or “>_” button on your PI; found at the top left corner of the display #ISSLearningDay A window will pop out. This platform enables you to gain remote access to your Raspberry PI; you can write Linux codes here to execute files.
- 30. (B) Testing your Sensors using your Assembled PI 2. In your PI’s Terminal, change directory (cd) to the file with the python file, and execute the following codes: • cd /home/pi/Documents/groveproject • python ssdiot01.py #ISSLearningDay You can see the various sensors’ values (i.e. light, sound, temp and hum, which represents the brightness, sound, temperature and humidity levels respectively) appearing every 2 seconds
- 31. (B) Testing your Sensors using your Assembled PI 3. Once you have executed the codes, you can check if the sensors are working; for example: • Cover the light sensor (to make it dark) or shine a bright light over the light sensor (to make it bright); the light values will change accordingly • Make noises in front of the sound sensor; the sound values will increase • Put your finger/thumb over the DHT sensor; the temperature and humidity values will increase #ISSLearningDay
- 32. (C) Broadcasting Sensor Data to the AWS Cloud & Using the Alexa Service #ISSLearningDay
- 33. An IoT system enables you (via the Internet) to collect, analyse and manage data in real-time and from a sensory system that may NOT be within close proximity! (D) Summary of Today’s Session