Empowering Smart Citizens to Sense

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Transcript of Empowering Smart Citizens to Sense

EMPOWERING SMART CITIZENS TO SENSE

Dr. Mazlan Abbas CEO - REDtone IOT Sdn Bhd

Email: mazlan.abbas@redtone.com

ASEAN IoT Innovation Forum Hotel Istana, KL, August 25 2015

PRESENTATION CONTENTS •  Introduction - Internet of Things and its Business Opportunities •  The Challenges •  Making Sense of Data •  Participatory Approach - Empowering Citizens to Sense •  Summary

MOVING FROM M2M TO IOT THE CHANGING LANDSCAPE

CHANGE IN BUSINESS MODEL

[Source: http://postscapes.com/what-exactly-is-the-internet-of-things-infographic ]

10/90 RULE The Last 100 meter

connectivity

The “last 100 meters” represent > 90% potential number of connections

Today, the devices used in the “last 100 meters” are typically not connected. The wide-area network is to a larger extent connected e.g. through smartphones, home routers (e.g. ADSL routers) and GSM / 3G / 4G Routers.

Still Disconnected Connected World

SELECTING THE IOT BUSINESS

WHY SMART CITY?

Improved Performance

Reduced Costs

Create Innovative Products

New Revenue Streams

Monitor

Autonomous

Optimize

Control

BUSINESS OPPORTUNITIES Capabilities Benefits

Smart City Approach Too much focus on the role of large technology companies and governments as the catalysts of technology-enabled progress.

DO NOT ignore the most important dimension of cities i.e. the people who live, work and create within them.

As citizens turn smart so will the cities they inhibit.

Traffic Volume Maps 76% want sensors in streets, pavements and public areas to report how crowded a street, shopping mall or park is.

THE RISE OF SMART CITIZENS

Building Trust Citizens encounter good customer service across government channels

SMART CITIZEN TOOLS

Open source and open data

Make visible the invisible

Sensing the city Provide tools for the citizens to interpret and change the workings of the city

Technology may help mitigate the “black hole” problem.

EMPOWER THE CITIZENS TO SENSE

BUILDING 3 TYPES OF CITIES

1.  ROI-driven –  the aim of rolling out smart city technologies is to

generate income which pays for its deployment and more. There are many cities in the western hemisphere which fall into this category, such as Los Angeles, London.

2.  Carbon-driven –  The aim here is to reduce the carbon footprint and

ideally become carbon neutral long-term. These are mainly cities in Middle and Northern Europe, such as Luxembourg, Helsinki, etc.

3.  Vanity-driven –  Finally, “vanity” driven cities are mainly driven by

events where the entire world is watching and they want to be perceived as “modern”

TO OVERCOME 3 KEY CHALLENGES

Only by addressing all three can organizations turn raw data into information and actionable insights.

Integrating data from multiple sources

Automating the collection of data

Analyzing data to effectively identify actionable insights

MAKING SENSE OF DATA … BUT WHAT CITY DATA?

THE GOLD RUSH

Wisdom

Knowledge

Information

Data

More Important

Less Important

Evaluated understanding

Appreciation of

Answers to questions.

Symbols

Understanding

Answers to questions

WHO

WHY

HOW

WHAT

WHERE WHEN

VALUE IS CREATED BY MAKING SENSE OF DATA

VALUE PYRAMID

Wisdom

Knowledge

Information

Data

More Important

Less Important

N/A

Empty (0), Full (1)

Understanding

EXAMPLE - SMART PARKING

Who park at this lot? What kind of vehicle?

Where is the empty parking lot? When is the peak period?

How to implement a tiered charging? How to find “overstayed” vehicles?

Why this parking area is not fully occupied?

Who Benefits? - Citizens / Parking Operators / City Council / Shops

Home Health Transport Office Waste

WHAT-IF – WE CAN DO DATA BLENDING

Creating New Compound Applications

All personal items, such as mobile phones, wrist watches, spectacles, laptops, soft drinks, food items and household items, such as televisions, cameras, microwaves, washing machines, etc

Private business organization has the right to take the decision whether to publish the sensors attached to those items to the cloud or not.

Public infrastructure such as bridges, roads, parks, etc. All the sensors deployed by the government will be published in the cloud depending on government policies.

Business entities who deploy and manage sensors by themselves by keeping ownership. They earn by publishing the sensors and sensor data they own through sensor publishers.

Personal and Households

Commercial Sensor Data

Providers

Organizations

Public Private

[Source: “Sensing as a Service Model for Smart Cities Supported by Internet of Things”, Charith Perera et. al., Transactions on Emerging Telecommunications Technology, 2014]

CHALLENGES – DATA OWNERSHIP

HOW-TO PROVIDE A SMART CITY SOLUTIONS?

HOW-TO

Smart City App #1

SMART CITY SERVICE PROVIDER

Device Provider

Network Provider

Platform Provider

Application Provider

Customer

Network Platform

Smart City App #3

Smart City App #2

IOT ENCOURAGE INNOVATION EVERYONE CAN BE IN THE GAME

“Makers, startups and crowdsourcing efforts result in high numbers of low-revenue niche IoT applications.”

SENSING-AS-A-SERVICE WHAT-IF

The city would pay for access to the light sensors in order to decide when to turn on and off the street lights

Gathering temperature, light, pressure, humidity and

pollution.

COMMERCIAL IOT SENSOR PROVIDER

A university may want access to the pollution information for research purposes for a limited period

The weather department would want the temperature and pressure data

The street town council center would want the temperature and humidity data for planning during rough weather

HARNESSING THE CREATIVITY

PARTICIPATORY SENSING – “RAPID DEPLOYMENT”

REDUCTION OF DATA ACQUISITION COST – “SUSTAINABLE BUSINESS MODEL”

DIFFERENT BUSINESS MODELS

COLLECT DATA PREVIOUSLY UNAVAILABLE – “ASSIST SCIENTIFIC OR SURVEY ACTIVITIES”

CROWDSENSING GETTING INSIGHTS FROM

EMPOWER THE CITIZENS TO SENSE

SMARTPHONE AS YOUR “SENSING ASSISTANT” Sensors: ①  Camera – “Eyes” ②  Audio – “Ears” ③  Accelerometer –

“Speed” ④  GPS – “Location” ⑤  Gyroscope –

“Movement” ⑥  Compass – “Direction” ⑦  Proximity –

“Closeness” ⑧  Ambient light – “Eyes” ⑨  Others…

Crowdsourcing Via Crowdsensing Context ①  Spatial – Location / Speed Orientation ②  Temporal – Time / Duration ③  Environmental – Temperature / Light / Noise Level ④  User Characterization – Activity (Mobility Pattern) / Social (Friends, Interactions)

MAKING CITIES BETTER USING CITIZENS

Traffic

Noise Environment

Network Coverage (WiFi/3G/4G)

LET ALL CITIZENS BE OUR “EYES”

Incident reporting facilities - citizens can report on issues concerning public infrastructure allowing collective collaboration to ensure an active response

COLLECTIVE COLLABORATION WITH CITIZENS

MOBILE APPLICATION

LIVABILITY LOCAL AREA SERVICES

PUBLIC SAFETY NATURAL DISASTER

Open Data

Smartphone Users

Social Media

Users

PORTAL CITISENSE.COM

CASE MANAGEMENT SYSTEM

DASHBOARD

EMPOWERING SMART CITIZENS

WHICH CAME FIRST – THE CHICKEN OR THE EGG?

SMART CITIZENS AND SENSORS CONNECTING AND AGGREGATING

Smart City

Environmental Monitoring

Multiple Sensors

Outdoor Parking Management

Parking sensors

Mobile Environmental

Monitoring Sensors installed in

public vehicles

Traffic Intensity Monitoring

Devices located at main entrance of

city

Guidance to free parking lots

Panels located at intersections

Smart Citizen Crowdsensing

Parks and Gardens Irrigation

Sensors in green zones

•  Temperature •  CO •  Noise •  Car Presence

•  Ferromagnetic sensors

•  Temperature •  CO •  Noise •  Car

Presence

•  Measure main traffic parameters •  Traffic volumes •  Road occupancy •  Vehicle speed •  Queue Length

•  Taking information retrieved by the deployed parking sensors in order to guide drivers towards the available free parking lots

•  Moisture temperature •  Humidity •  Pluviometer (rain gauge) •  Anemometer (wind-speed)

•  User generated feedback with smartphones that help to make cities better

[Source: http://inrix.com]

Changes in the law do not adapt as quickly as technology changes behavior. Example - Many city managers now carry Smartphones — and some receive communications from citizens about potholes. They worry: The law says, once a pothole is reported, the city is responsible for any damage a car experiences — once it’s officially reported. In a web 2.0 world, what’s an “official” report — when does liability begin — once the city official receives a text? Once a formal notice is filed? Once it’s tweeted to the world?

ONE THE MAIN CHALLENGES

ASK OURSELVES

ARE WE READY?

THANK YOU @REDtoneIOT REDtoneIOT