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IoT_IO1_2 Getting familiar with Hardware - Development Boards.pdf
- 1. Lectures on IoT © IOT-OPEN.EU Consortium Project Ref. 2016-1-PL01-KA203-026471
- 2. Erasmus+ disclaimer This project has been funded with support from the European Commission. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
- 3. Getting familiar with your hardware - development boards
- 4. IoT device •Embedded system •Sensors •Actuators •Communication unit •Embedded software Communication unit Embedded system Embedded software Sensors Actuators
- 7. Sensors • Switch • Temperature • Humidity • Pressure • Light • Colour • Gases • Pollution • Acceleration • Gyroscope • Magnetic field • Position • etc...
- 8. Actuators • LED • Lamp • Alphanumeric display • Graphic display • Relay • Motor • Buzzer • Valve • Pump
- 9. Arduino Uno •ATmega328 microcontroller •Digital I/O Pins 14 • 6 PWM outputs •6 Analog Input Pins •Flash Memory 32 KB • 512B used by bootloader •SRAM 2 KB •EEPROM 1 KB •Clock Speed 16 MHz
- 10. Arduino Leonardo •ATmega32U4 microcontroller •Digital I/O Pins 20 • 7 PWM outputs • 12 Analog Input Pins •Flash Memory 32 KB • 4kB used by bootloader •SRAM 2,5 KB •EEPROM 1 KB •Clock Speed 16 MHz
- 11. Arduino Mega 2560 •ATmega2560 microcontroller •Digital I/O Pins 54 • 14 PWM outputs •16 Analog Input Pins •Flash Memory 256 KB • 8 KB used by bootloader •SRAM 8 KB •EEPROM 4 KB •Clock Speed 16 MHz
- 12. Arduino Nano • Microcontroller ATmega168 or ATmega328 • Operating Voltage: (logic level) 5 V • Digital I/O Pins: 14 (of which 6 provide PWM output) • Analog Input Pins: 8 • Flash Memory: 16 KB (ATmega168) or 32 KB (ATmega328) of which 2 KB used by bootloader • SRAM: 1 KB (ATmega168) or 2 KB (ATmega328) • EEPROM: 512 bytes (ATmega168) or 1 KB (ATmega328) • Clock Speed: 16 MHz
- 13. Arduino LillyPad •ATmega168V or ATmega328V •Digital I/O Pins 14 • 6 provide PWM output •Analog Input Pins 6 •Flash Memory 16 KB • (of which 2 KB used by bootloader) •SRAM 1 KB •EEPROM 512 bytes •Clock Speed 8 MHz
- 16. Arduino Leonardo Eth •Leonardo with Ethernet •Wiznet 5500 controller
- 17. Arduino Yun •Microcontroller ATmega32U4 •Digital I/O Pins 20 • PWM Output 7 • Analog I/O Pins 12 •Flash Memory 32 KB • 4 KB used by bootloader •SRAM 2.5 KB •EEPROM 1 KB •Clock Speed 16 MHz
- 18. • Processor Atheros AR9331 • Architecture MIPS • Ethernet 10/100Mbit/s • WiFi 802.11b/g/n 2.4 GHz • USB 2.0 Host • RAM 64 MB DDR2 • Flash Memory 16 MB • SRAM 2.5 KB • EEPROM 1 KB • Clock Speed 400 MHz Arduino Yun – WRT Linux
- 19. Raspberry Pi 2 model B • A 900MHz quad-core ARM Cortex-A7 CPU • 1GB RAM • 4 USB ports • 40 GPIO pins • Full HDMI port • Ethernet port • 3.5mm jack audio and video • Camera interface (CSI) • Display interface (DSI) • Micro SD card slot • VideoCore IV 3D graphics core
- 20. Raspberry Pi 3 model B •A 1.2GHz 64-bit quad-core ARMv8 CPU •802.11n Wireless LAN •Bluetooth 4.1 •Bluetooth Low Energy (BLE)
- 21. Intel Edison •Intel Atom processor •1GB RAM •30 I/O pins •WiFi •Bluetooth LE •500MHz clock
- 22. Beaglebone black •TI AM3358 ARM Cortex-A8 •4GB eMMC •512MB DDR3 •65 digital I/O •7 analog inputs •Ethernet •micro-HDMI video, audio •1GHz clock
- 23. Beaglebone black wireless •Octavo Systems OSD3358 1GHz ARM® Cortex-A8 •4GB eMMC •512MB DDR3 •65 digital I/O •7 analog inputs •802.11b/g/n •Bluetooth 4.1 and BLE •microHDMI video, audio •1GHz clock
- 24. Espressif ESP8266 • 32-bit RISC CPU: Tensilica Xtensa LX106 • 80 MHz clock • 64 KB of instruction RAM, • 96 KB of data RAM • External QSPI flash - 512 KB to 4 MB • IEEE 802.11 b/g/n Wi-Fi • WEP or WPA/WPA2 authentication, or open networks • 16 GPIO pins • SPI, I²C, • I²S interfaces with DMA (sharing pins with GPIO) • UART • 10-bit ADC
- 25. ESP-01 •WiFi 802.11 b/g/n •UART •3 GPIO
- 26. ESP-12 •WiFi 802.11 b/g/n •UART •9 GPIO •1 analog input
- 27. NodeMCU •ESP-12 •USB •10 GPIO •Lua scripting programming language
- 28. NodeMcu mini •ESP-12F •RGB led •Light sensor •Two pushbuttons
- 29. WeMos D1 •ESP-12 •Arduino pin compatible •3V3 !
- 30. WeMos D1 mini •ESP-12 •Small shields
- 31. Some more IoT scenarios Otto works for the municipality of Osnabrück. He is employed as a bus driver. He manages bus line 1. Line 1's route ranges from the central train station in the middle of the city to a nearby village in the south of Osnabrück, 10 km from the city center. Especially at the bus-stops in the city the bus has a hard time pulling back out into traffic after stopping. This of course results in wasted time and delays in Ottos usual route. In addition to the simple usage of indicator lights an application is planned that informs nearing cars about the starting bus. Karl, driving a car behind the stopping bus, gets a notification (acoustical/visual) on his navigation system/smartphone that the bus will leave the bus stop any moment. Karl can react early and reduce the speed of his car giving Otto the opportunity to get back into traffic. Hence, the bus can stay on schedule. Source: http://iot.ieee.org/iot-scenarios.html Optimizing bus departure, pull bus out into traffic
- 32. Some more IoT scenarios Recently the doctors have diagnosed that John's Alzheimer's disease is taking a turn for the worse. As a result, his children have decided to upgrade the monitoring solution with sensor applications that enable the monitoring of his locations, posture and mental conditions at home and in the neighborhood. This helps Charles retains his private and social life which is very important for coping with his condition and happiness. Source: http://iot.ieee.org/iot-scenarios.html Aging population - Alzheimer's disease
- 33. Some more IoT scenarios Linda lives in Copenhagen and every single day she goes for a walk with her little child Knud, 2 years old. She is an attentive mother and takes care of her son’s health very much. Recently a new app called “FAR – Fresh Air Radar” has been rolled out and it is becoming more and more popular in Denmark. As soon as Linda discovers the existence of this application she downloads and tests it. FAR helps her avoiding particularly polluted areas in the city during her daily walks with her child. With FAR she can visualise on her smartphone a colored 3D map showing the polluted zones in the city. The app provides real-time data about quality of the air, kind of pollutants floating, their concentration, health consequences, etc. Data come from a series of networked environmental sensor deployed citywide and are showed through a user-friendly interface. Moreover, FAR suggests possible tracks according to the level of pollution in the air, guiding the user towards those urban areas where the air quality is better. Source: http://iot.ieee.org/iot-scenarios.html FAR - Fresh Air Radar
- 34. Some more IoT scenarios Anna is going to shop in the supermarket. While she enters the store, her intelligent shopping application starts. The shopping list she made during the past days is uploaded and displayed on her phone. Additionally, the system added some items to the shopping list considering needed products at home that Anna did not list. The system guides Anna through the store aisles to help her locate the products. The system considers the proximity of the products first and also freshness: i.e., fresh products are collected at the end. While Anna approaches the products, she gets a ranking of comparable products that are in the section according to her profile preferences (e.g. price, quality, fat free, organic, and allergies). Source: http://iot.ieee.org/iot-scenarios.html Intelligent shopping application
- 35. Some more IoT scenarios Smart meters will be installed in more and more households in the next years. Although Bob can now get a detailed daily report of his energy spending, saving energy is still a boring activity and long-term engagement is hard. With the new Facebook app EnergySaver Bob can compete with his friends for becoming the energy saving king. Bob was very excited to get his new smart meter. The new electricity meter can measure electricity usage, and will send the data every 15 minutes to the operator. Bob can then check his usage on the operator's web page. Still, saving energy is a boring task. Bob is now using the new EnergySaver Facebook. After allowing data transfer, EnergySaver automatically imports Bob's historical electricity usage data. In the future EnergySaver will periodically import current data or get real time data. Every week Bob gets a notification telling him how much energy he used last week, and how much he saved compared to the weeks (or years) before. EnergySaver also includes a leaderboard where Bob can compare his energy usage and the amount of saved energy with his friends. He can then publish these notifications. Bob now buys a new refrigerator to finally become king. Source: http://iot.ieee.org/iot-scenarios.html Save energy with friends
- 36. Some more IoT scenarios Live Space provides an always-on sensor network backbone for the Smarthome, configured as a learning sensor network. It builds on the assumption that consumers want experiences that only building-scale sensing can provide, namely personalized services that follow the user throughout the house. Examples are: • Location based adaptive Audio • Automated Lighting • Personalized content (Music, TV, Talk-Radio) • Location-based Intra-Home communication Source: http://iot.ieee.org/iot-scenarios.html LiveSpace: Indoor Sensor Networks
- 37. The end ;)