Buried Pipe Management System
SmartCity Division (Daegu Urban Corporation)
Daegu Metropolitan City, Korea
Daegu City completed the first phase of the construction of the city of Suseong Alpha City, where Daegu has built a Smart City platform that runs 13 smart city services including those addressing safety, transportation, energy, lifestyle, and urban infrastructure management. Solutions developed for this Smart City Platform included urban data collection and processing, visualization and city control, service linkage, citizen participation open platform, self-driving demonstration environment (total 6.5 km): autonomous driving infrastructure, autonomous vehicle control system, and Underground Management System: Underground DB, SPI Tag, SPI Mobile APP.
Solution deployed: IoT, Mobile Application
Wellington City Council
Virtual Wellington is a Virtual Reality version of Wellington., It immerses people in a 3D city experience and allows them to interact with city data to understand urban issues and futures. The model covers all of Wellington City, and the surrounding metropolitan council’s and contains the buildings, trees, roads and other physical features which make up Wellington’s environment. This environment then provides the base to project data, proposals and alternative futures in an engaging, informative and intuitive way. Over the past two years, Virtual Wellington has been used by Wellington City Council to:
Virtual Wellington has been developed on top of the City’s geographic, IoT and architectural data capabilities and uses game engines to fuse these datasets into a sustainable virtual ecosystem.
Solution deployed: IoT, VR
DIGITAL EQUITY AND ACCESSIBILITY
Civic Participation Initiative for Taoyuan Citizen Card Application Expansion
Taoyuan City Government
Taoyuan Dist., Taoyuan City, Taiwan
The Taoyuan Citizen Card (TCC) project was launched in 2015, with total cards issued reaching 1.3 million units. In short, over 50% of Taoyuan's 2.2 million residents are now card holders. The TCC is an integration of various functionalities such as co-branded credit card, e-tickets for public transportation, library card for book check in/out, student ID, building access control, sport/health card for public gymnasium, and e-wallet for micro transactions. Providing great value, the over 1,000 contracted stores in the TCC not only accept the card as a means of payment but offers special discounts to card bearers. In the near future, foreign spouses of qualified TCC applicants can be a card bearer too in order to expand the demographic diversity and service coverage of TCC. Collectively, the TCC has contributed to 220 million NT dollars of output value for peripheral industries.
In a bid to expand the diversity of civil participation on public affairs, Taoyuan city government also launched the "Civil Participation Expansion for Citizen Card Application Initiative". The goal is to engage with our citizens and encourage them to express their opinions on governmental budget planning process. This citizen card project is a means of civil participation to increase transparency of municipal budget spending as well as the power of public monitoring. The government has held three training courses and six workshops with around 3,000 participants since May 2018. This led to the collection of more than 300 opinions during these events, which were eventually synthesized into 14 concrete proposals for future functionality expansion. Online/offline polls were held in August 2018 for these 14 candidate proposals. There were 42,392 votes during the event and the first 7 proposals with highest votes were included into the expansion initiative.
Solution deployed: IoT, Big Data Analytics
ECONOMIC DEVELOPMENT, TOURISM, ARTS, LIBRARIES, CULTUTRE, OPEN SPACES
Singapore Tourism Analytics Network
Singapore Tourism Board (STB)
To create better tourist experiences, the Singapore Tourism Board (STB) has developed an analytics network to collect and analyze tourist data. The Singapore Tourism Analytics Network, or STAN, analyses data on tourist behavior, such as spending patterns and length of stay in hotels. With the network, tourism officials at all levels can now easily draw insights from data and make better decisions on tourism management. STAN collected tourist expenditure data from local telecommunications companies, and then analyzed and visualized these data for officials in an interactive, user-friendly manner. STB could then advise local retailers and the hospitality industry insights to help develop marketing plans that will attract more tourists.
Solution deployed: Big Data Analytics, AI
Will Digital Teacher
Will is a digital teacher operating initially in the Auckland region for schools connected to Vector Ltd© electrical network. The aim of the project is to educate children about energy and its role in New Zealand society. The project utilizes AI combined with digital human face to humanize Will, as well as to provide an interactive interface. While the knowledge base of the AI is currently limited to Vector's energy education program, the aim is to eventually utilize this AI across many different subjects. In the long term the project seeks to solve issues stemming from an international teacher shortage, as well as democratize education. Vector highlights that from a business standpoint, it is essential to follow new technology trends and practices. The project will see a roll out in early 2019.
Solution deployed: AI
Crossing Learning Barriers: Omni Smart Education
Taipei City Government (TCG)
In response to a growing knowledge economy, Taipei City Government (TCG) is actively developing an “iCampus” into practice. The idea of iCampus is to bring up the self-learning capability of students, encourage teachers to apply innovative teaching, and increase the interaction between teachers and parents by utilizing technologies. This smart education initiative aims to build smart internet campuses, establish smart future classrooms, create digital learning platforms and implement mobile smart learning.
Since 2018, TCG has improved internet environment in 236 schools (below high school). There are 5,600 smart future classrooms within 201 junior high and elementary schools in Taipei City since 2018. The smart future classroom is equipped with an 85-inches touch screen and projector, information integration controller, teaching broadcasting system, AR/VR equipment, and goes with student mobile devices to assist teachers to develop innovative interactive learning.
To provide abundant digital learning resources to teachers and students, TCG launched “Taipei Cool Class Cloud” platform in 2016 and has provided 6,945 online videos which were self-recorded by teachers with over 43,821 generated questions. To date, the number of views has exceeded 12 million. TCG has launched online schools since 2017 and has implemented OnO (Online and Offline) Interactive Learning Platform in 8 high schools to promote educational resources sharing.
To familiarize student with self-learning using mobile devices, TCG has launched a “mobile learning smart education” roadmap in 160 schools and has subsidized 26,636 mobile devices till 2018. TCG expects to achieve the goal of implementing mobile learning in 236 schools in 2019.
Solution deployed: IoT, Big Data Analytics, and Mobile Platform
PUBLIC HEALTH AND SOCIAL SERVICES
Intelligent Disease Prediction Project
Provincial/ Municipal Healthcare Administration Departments
The Disease Prediction Project integrates desensitized medical health data, meteorological, and public opinion data. The project is in response to the China government’s efforts to improve disease prevention, reduce the citizen’s economic burden, and improve their decision-making on healthcare matters. Using a combination of artificial intelligence (AI) and big data analytics (BDA), the disease prediction prevention control system is composed of a prediction model with “macro+micro”, multi-dimensional and multi-algorithm fusion. The disease prediction program has developed chronic disease risk factor screening models (such as chronic obstructive pneumonia) and infectious disease prediction models (such as influenza, hand-foot-and-mouth disease, etc.). The accuracy rate of the current COPD screening model is 92%; the influenza prediction model can predict the occurrence of infectious diseases one week in advance, and the accuracy rate is over 90%. The project results have been applied in many hospitals in Chongqing and Shenzhen and have been unanimously recognized by the health authorities and institutions. The project has received attention and reports from media such as Xinhuanet and People’s network.
Solution deployed: AI, Big Data Analytics
PUBLIC SAFETY – DISASTER RESPONSE/ EMERGENCY MANAGEMENT
Integrated Emergency Data Platform – An AIoT Application in All-Hazards Early Warning and Decision Supporting System
New Taipei City Government
New Taipei City is the most populated city in Taiwan with around four million citizens yearly challenged by heavy rainfall, typhoons, potential mudslide areas, and occasional earthquakes and floods. Due to a lack of data integration, disaster response deployment is inefficient and untimely. In response to this problem, the New Taipei City Government initiated a four-year project (2018-2021) called “Integrated Emergency Data Platform - An AIoT application in All-hazards Early Warning and Decision-Supporting System” to predict emergencies and help leaders make better decisions in the face of disasters.
The system contains functions like “Flood Early Warning” which integrates 2D flooding prediction models, disaster database, and cloud computing to establish flooding-prone hotspots 48 hours in advance; a “Localized Weather E-map” which combines local weather data and New Taipei City map to forecast precipitation periods and zones, and “Dynamic Data Visualization” that can present data according to time, region, and disaster category change for commanders to understand holistic disaster situations and each rescue progress aided with a “On-Scene photo Comparison”. Additionally, the system develops “Severity Management” which divides real-time reporting cases into severity and status with icons and colors on e-map to efficiently take control of all cases processing.
The system integrates 20 governmental agencies (including 8 central authorities and 5 local authorities) and 80
databases into one interface unifying different disaster information formats and enhancing the deduction of manual processing cost. The project is beneficial to the development of AI industry, IoT industry, telecommunication, etc. In the coming future, this platform will not only be open to government but also to businesses such as insurance, transportation, IT, telecommunication, travel, architecture to work out their approach facing disasters. The estimated commercial value is US$ 5.6M. Technologies adopted in this project include AIoT (AI and IoT), Web-GIS, Big Data Analytics, and Cloud Computing.
Solution deployed: IoT, Cloud, Big Data Analytics
Wujiang Broadband Trunking Government Network
Suzhou Wujiang Public Security Bureau
Wujiang District, China
Wujiang District Public Security Bureau, in collaboration with a local Chinese solutions provider built the eLTE- based broadband wireless private network to bear the comprehensive police command system, HD video surveillance system, and visual converged command center. The network enables integration of the command and intelligent systems, unifies command across different sectors and departments, monitors and alarm before incidents occur, frontline deployment of the command center, and various mobile policing applications (personal/vehicle recognition, vehicle big data, vehicle track analysis, call taking and dispatching, comprehensive queries, and instant messaging.
Local police stations now have the capability of processing daily policing services. To date, the platform has policed 32 wanted personnel and 186 drug dealers during the G20 Hangzhou summit. This project has received international recognition and would now be considered as a global benchmark. Many cities, both in China and across the world are learning from the success of the “Wujian Solutions” to address their respective challenges in public safety.
Wujiang and Huawei will continue their collaboration to implement the latest ICT technologies on Safe City and Smart City solutions. Wujiang district and its Public Security Bureau are looking forward to building an interconnected, instrumented, and intelligent new policing model, implementing integrated policing operations and, finally, establishing a new police ecosystem that carries out intelligent forecasting, warnings, and prevention.
Solution deployed: IoT
National Digital Identity Facial Biometric System
Immigration and Checkpoint Authority of Singapore
Singapore’s government has deployed a National Digital Identity Facial Biometric System to enable banks, healthcare and immigration departments to collect identity information of citizens. Identities will be compared with the country’s existing national biometric database, which contains images and biographical information for four million residents 15 year and older. Biometrics database of travelers, comprising facial images, fingerprint and iris, will be useful for post-incident investigation and data analytics purposes in the event of a security incident. The Immigration and Checkpoint Authority (ICA) has also been expanding its deployment of security cameras with facial recognition, object recognition, and other capabilities to identify wanted criminals and improve checkpoint safety.
Solution deployed: AI, Cloud, Big Data
Forest City Smart B.I.A.
Country Garden Pacificview
Committed in creating outstanding smart building solutions, Forest City integrates new technology including BIM platform, IoT sensing platform and AI city application. Building information modelling Implementation (BIM) plays a key role in the design quality improvement, sustainable construction and facility & asset management (FM/AM) for the Forest City development. Through the virtual 3D building model creation, BIM model keeps track of the constructed project to ensure all design changes can be checked before they are applied for the project delivery to minimize errors and rework on site.
IoT Sensing Platform includes Smart meters, Building Monitoring and Green Wall. Smart sensors that are installed throughout the city in buildings, such as meters installed in homes allow energy usage to be monitored remotely and for supply to be controlled remotely, which leads to cost savings over manual meter reading and switching. Building Monitoring, also called Building Energy Management is the monitoring of indoor environment in a building by various sensors for temperature, humidity, illuminance, motion, carbon dioxide, etc. Green Wall is a one of the highlights in Forest City which is famous with vertical planting on the building walls. Forest City has invested to set up an automatic irrigation system which will supply the plants with the ideal amount of water. These automations are being monitored online via network. The integration of vegetation on buildings by vertical greening allows a significant improvement of the building’s efficiency, ecology and environmental benefits.
From an AI technology perspective, the building can perform face recognition, license plate recognition, fingerprint recognition etc. The AI city application help to create a security shield to ensure the safety of the community. Also, Forest City has its designated intelligent robot "Sensen" for urban management and public services, to provide residents with consulting, guidance, entertainment interaction and other intelligent experience.
Smart building implementation in the Forest City was initiated in 2016 and the systems and applications mentioned above have been implemented which helping the city to make the best use of resources, deliver public services and utilities more efficiently and effectively.
Solution deployed: IoT, Big Data, AI
Smart Water Project-Busan Eco Delta Smart City
Smart City Promotion Division, Busan City Government
Busan Metropolitan City, Korea
Various cities in Korea are facing serious challenges in water pollution. To solve these water pollution challenges, Busan Eco Delta Smart City Project was designated as the national smart city pilot project in early 2018 by Ministry of Land, Infrastructure and Transport and the project location where the ecological environment around the three rivers and the key technologies of the 4th industrial revolution are well in harmony. Moreover, this project is very ideal for implementing water and environmental innovations since it's located at the basin of Nakdong River. Busan Eco Delta Smart City project will showcase the collection of water management technologies for the restoration of natural water cycle in the city (rain-stream-water treatment-waste water-reuse) and develop a specialized eco-friendly waterfront city all the citizens could trust.
Solution deployed: Precipitation forecast and water-related disaster response systems, Eco-filtering system, Smart water treatment plant, Smart Water Management system, Water recycling system
Madden Street - NZ Smartest Street
Auckland Council/Auckland Transport
Auckland, New Zealand
Spark's New Zealand's 5G team has joined with Auckland Transport, NB Smart Cities, Cisco and Auckland Council’s Panuku Development to create Madden Street. Madden Street utilizes IoT technology to display how 5G will impact the way citizens interact with technology on a daily basis through the installation of sensors in rubbish bins, car park spaces, street lights, pavements, and air monitors. The combination of sensors allows various street factors to change, such as a full rubbish bin being emptied or dimming light triggering street lights. The street lamps house the smart hubs which make all this possible. Through this project, Auckland can remove the ugliness typically associated with smart hubs at street level, while also providing free public Wi-Fi and smart CCTV.
Solution deployed: IoT
TRANSPORTATION - Connected & Autonomous Vehicles, Public Transit, Ride-Hailing/Ride-Sharing
Shenzhen Appointment-based Traveling Project
Traffic Police Department of Shenzhen Public Security Bureau
Urban traffic congestion problems have long plagued Shenzhen, especially during the holidays when large numbers of tourists travel east towards Dapeng New District and Yantian District. To mitigate security and stability risks caused by congestion, the Shenzhen Traffic Police Bureau launched its “Appointment-based Traveling” project which requires booking slots before traveling on certain roads during peak days/seasons in 2018. The measure aims to ensure overall safety, orderly and smooth operation of road traffic, and to create a high-quality transportation service.
During the project's trial run, traffic congestion in Dapeng Peninsula reached its lowest level in recent years. The project was able to evenly distribute traffic flow into three periods, fully utilizing road resources and upping the average driving speed at its highest recorded numbers in the past three years. Congestion in the holiday districts reached their lowest levels in the past three years, with a year-on-year decrease of 40%. Traffic safety likewise saw massive improvements, with traffic accidents and congestion alerts dropping by 94 % and 93% respectively. Following full implementation of the project, the traffic in the affected area has become manageable, with holiday seasons no longer creating significant impact on traffic flow.
Solution deployed: Public appointment system, visualized monitoring system, operation management system, core algorithm and engine
Smart Moves Newcastle - Mobility Projects
City of Newcastle
New South Wales, Australia
The Smart Move Newcastle (SMN) project seeks to optimize multi-modal networks to deliver time critical, accessible options while promoting cycling, public transport and walking linkages to reduce reliance on private vehicles and the city's carbon footprint. This is not a standalone initiative but one that seamlessly contributes to the overall new future for the City.
Smart Move Newcastle comprises 21 sub-projects, of which a number are transport-related including
City E-Bikes with data-tracking functionality, and AV trials which involve the use of autonomous shuttles as last-mile connectors operating between light rail stops and final destinations in the city centre. The project also includes the creation of a City EV Charge Network and an e-Transit Hub. This suite of projects have numerous social, economic and environmental benefits such as reduced carbon emissions, reduced congestion, quicker commutes for citizens, regulatory framework innovation, increased user satisfaction - transport is where people want it when they want it, less road maintenance, and improved city planning and design due to gathered data insights.
Solution deployed: e-Bikes, autonomous vehicle, smart sensors, electric vehicle charge network (solar and battery)
TRANSPORTATION – Transport Infrastructure
Transportation 2.0-AI Transform Transportation Management
Department of IT, Taipei City Government
Since 2018, Taipei City has been using AI to analyze urban traffic surveillance images, so that information such as traffic flow, vehicle types, traffic events, transportation needs and parking spaces can be captured instantly and accurately. This project involves the installation of 360-degree fisheye cameras with AI to provide real-time information such as traffic flow, vehicle speed, and trajectory of different models at complex intersections, providing a basis for future traffic control system integration and simulating the most suitable transportation solution for the city.
By working with the Information Bureau, Transport Bureau and the Police Department, the city has also expanded the use of "Connected Smart Cameras" on some buses and police cars to instantly collect and sort collected image data onto a mobile image platform. With the integration of AI, these smart cameras have given rise to extension applications such as bus stop parking, auxiliary license plate recognition, and virtual vehicle attendants. The cameras also come with video identification systems which, by integrating with other bureaus, has improved license plate recognition to 95% accuracy, and will later enable new efficient and intelligent parking services for the public.
Solution deployed: IoT, BDA, AI
URBAN PLANNING AND LAND USE
Hunter Innovation Project - Smart City Infrastructure
City of Newcastle
Newcastle, NSW, Australia
Newcastle is facing unparalleled growth and has recognized the need to integrate innovative solutions with traditional problems to address this. The project aims to nurture the local innovation ecosystem through the establishment of smart city infrastructure within the CBD and the construction of an innovation hub. The Hunter Innovation Project is a catalyst regional endeavor dedicated to the implementation of smart city infrastructure comprising 6 interconnected elements: a passive layer of fiber and conduit to support above-ground smart city tech; over 150 smart poles in the CBD which improve the efficiency of the lighting network and an improved ability to remotely monitor lights for planned and unplanned maintenance; a LoRaWAN network to provide low cost, low-power connectivity and support IoT sensors and data collecting devices; a Wi-Fi backbone within the city which provides alternate access to the Environmental Sensing Network and IoT platform as well offering free Wi-Fi to the public in the Newcastle CBD; Smart Parking via a networked system for monitoring the city’s car parking resources and provide information to drivers to enable more efficient use of parking network and reduce traffic congestion; and an environmental sensing network to record real time environmental data such as air quality, temperature, for use in research collaborations.
Solution deployed: Smart Poles, Fiber and Conduit Layer, LoRaWAN network, Wi-Fi, Smart Parking, App, Sensors
55 Years | 1100 Analysts | 110 Countries
International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,100 analysts worldwide, IDC offers global, regional, and local expertise on technology and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly-owned subsidiary of International Data Group (IDG), the world's leading media, data and marketing services company. To learn more about IDC, please visit www.idc.com.