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.
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)
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
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
