Two tech companies operating within Hong Kong’s Smart Government Innovation Lab have launched solutions that are now ready to be acquired by companies and institutions.
Solution I – IoT-Based Hazard Environment Alert System (iHEAS)
By using IoT Sensors, the iHEAS system collects, analyses, displays and disseminates local environmental conditions including temperature, humidity and water level over predefined areas. Environmentally hardened digital displays are used to provide critical environmental information and hazard warnings to the public.
The solution was developed to be applied in the areas of Climate and Weather, Environment, Recreation and Culture as well as Transport.
The solution employs the latest in Cloud Computing, Data Analytics, the Internet of Things (IoT) as well as Mobile Technologies.
Making use of outdoor IoT sensors for temperature, humidity and water level (flooding detection), etc., the solution collects critical data of a microenvironment like country park trails. The data is directed via an IoT network, e.g. LoRaWAN to a Cloud Computing Platform with rule-based analysis. Results are displayed on strategically placed outdoor, environmentally-hardened digital signage in condensed and easy-to-understand forms. Analytic reports are generated and disseminated to other B/D.
The technology provides the public with real-time, on-the-spot advice on the suitability (or unsuitability) of embarking on outdoor activities. It can be used as a deterrent should conditions prove undesirable. It prevents the over-ambitious undertaking of visits and minimises life-threatening incidents. In the medium term, it aims to reduce the reactive emergency rescue missions by Fire, Police and Flying Services and save emergency dispatches for people with real needs. It synergises the existing educational and alert systems of various government B/D.
Solution II – AIBOOSTER – Data Empowerment Platform
The AIBOOSTER solution is a collection of platforms that form an end-to-end ecosystem of data collection, data preparation, data mining and data visualisation. It works with existing business data to enable dataset management, data processing and update management. The platforms are as follows:
- AIBook is an auto-machine learning platform which supports automated modelling with zero coding. With an industry-leading algorithmic engine, the AI application process is simplified and intelligent transformation is facilitated.
- AIManager is a one-stop model hosting platform for rapid model deployment, prediction, monitoring and evolvement. It enables AI applications to boost business value.
- BI Canvas is a data visualization and analysis platform that integrates data connection, data transformation, visualization, and analytics functions into the end-to-end workflow.
The solution was designed to be applied in the areas of Climate and Weather, Commerce and Industry, Development, Education, Finance, Food, Population as well as Social Welfare.
The solution employs the latest in Artificial Intelligence (AI), Blockchain, Data Analytics, Deep Learning, Internet of Things (IoT), Machine Learning, Predictive Analytics and Robotic Process Automation.
AI+ Retail Solution
The AI+ Retail Solutions enables users to discover their business value and identify actionable insight in the data. The solution’s models help clients detect highly responsive customers for marketing campaigns. In real-world practice, model results enhanced the long-term conversion rate by 85%. The adoption of AI in marketing helps in building consumer relationships, enhancing the customer experience, and subsequently driving business values.
AI+ Meteorological Solution
This solution promotes the application of AI in weather forecasting and warning services to enhance the quality of weather services. The firm recently introduced deep learning and machine learning methods that use radar to predict future rainfall and predict AQI (Air Quality Index) values by using open data. AI Manager processes the big data with an iterative approach and generates simultaneous predictions to aid the forecasters in performing weather monitoring and making a final decision on forecasting.
AI+ Maintenance Solution
This solution uses AI to identify and prevent machine breakdowns before they happen. For example, vibration measurements are correlated with the data from different sources of sensors or IoT devices to gather system status information well beyond standard system maintenance needs. This enables predictive maintenance, in turn allowing industries to anticipate breakdowns and realise substantial operational savings.
Universiti Teknologi Malaysia (UTM) signed a Letter of Collaboration (LoC) on 2 September 2022 with a Malaysia-based technology company to enable collaboration in the field of Internet of Things (IoT), Communication Networks, Engineering and Technology.
The tech firm is a company that provides a solution provider of Systems Integration, Fibre Optic Sensing Solutions, Pipeline Integrity Monitoring Systems, Surveillance Systems, Fire & Gas Systems, High-Level Security Systems and the Internet of Things (IoT).
The collaboration between the two parties was started following the visit of the Ubiquitous Broadband Access Network (U-BAN) research team to the company’s office in Shah Alam on 2 December 2021. In the ceremony, UTM was represented by its Pro-Vice Chancellor of UTM Kuala Lumpur while the Chief Executive Officer represented the company.
The collaboration agreed upon by both parties covered the academic partnership and cooperation between UTM and the tech firm including the exchange of academic staff and students (undergraduate and postgraduates), Research and Development (R&D) in Communication Technology as well as Internet of Things (IoT), joint seminar/conferences and the co-supervision of postgraduate students.
In his statement, the Pro-Vice Chancellor of UTM Kuala Lumpur after the signing ceremony said that with the joint venture, the relationship and cooperation between UTM and the firm will hope to grow stronger and last longer and will succeed in providing high-impact results to both parties. The Pro-Vice Chancellor also acknowledged the firm’s representatives for making this cooperation possible.
The positive discussion opens opportunities for research collaboration such as industry grants and human capital development. The cooperation that will be established can improve the reputation of joint research with industry at the national and international levels, he added.
In 2020, the growth of Malaysia’s digital economy was accelerated by the COVID-19 pandemic which gave rise to new digital businesses, forced traditional brick-and-mortar enterprises to pivot online, and saw millions of Malaysians go virtual for their eCommerce, entertainment, and even education needs.
The delivery of quality education now is dependent on a student’s home broadband connectivity, or access to laptops or computers. To ensure that no Malaysian is left behind to catch the wave of digitalisation, the government is laying the foundation for the region’s transformation towards an advanced digital economy. This foundation includes building the infrastructure, facilitating innovation, and creating an ecosystem for all of us to contribute to bringing forth higher standards of living, the fruits of which will be enjoyed by all Malaysians.
MyDIGITAL outlines the plans to accelerate Malaysia’s progress as a technologically advanced economy, through the Malaysia Digital Economy Blueprint. This will chart the path to strategically position ourselves as a competitive force in this new era.
MyDIGITAL was developed to help realise the nation’s Twelfth Malaysia Plan, 2021-2025 (RMKe-12), as the government works on Wawasan Kemakmuran Bersama 2030. In facing this digital economy transformation, it is imperative to collaborate and take the necessary steps to adapt and collaborate for the next normal. The journey is not going to be easy but under unprecedented circumstances, we need to be brave enough to make this quantum leap forward to elevate the quality of life for all Malaysians.
Research institutes under the Ministry of Industry and Trade (MoIT) have been researching and commercialising cutting-edge technologies, including applications based on the Internet of things (IoT), artificial intelligence (AI), cloud computing, big data, blockchain, 3D printing and robotics.
MoIT’s institutes plan to strengthen their science and technology research activities to develop key industries as well as promoting smart production and digital transformation, as per the trends of the 4.0 industrial revolution.
A MoIT press release quoted the Director of the Vietnam Research Institute of Electronics, Informatics and Automation (VIELINA) as saying that the institute had researched and mastered several background technologies of industry 4.0 before the concept was introduced in Vietnam. Now, it hosts quite a few advanced products such as an integrated control system for underground coal mines, product quality external inspection systems using AI and machine vision that is being applied in some foreign-invested enterprises and an automatic feed control and ventilation system for dairy farms using IoT technology.
Most recently, VIELINA manufactured a synchronous automatic control monitoring system for tea production and processing, which is currently in operation at a private facility in the Lai Chau province. This is the most modern large-capacity (producing 50 tonnes of fresh tea per day) tea production line operating in Vietnam. It is worth mentioning that the system was designed, manufactured, and installed by Vietnamese experts, in which the most important stages were 100% automated thanks to applications of AI and IoT, the Director explained.
For an industrial machinery and instruments company, the institute manufactured a smart goods loading and unloading system in its warehouses based on the application of industrial robots. This system has been commercialised for many fertilizer and animal feed production units with costs 40%-60% lower than those of imported products. Additionally, the institute proposed and put into practice a number of technological solutions for the logistics activities of small and medium-sized enterprises (SMEs) in Vietnam.
MoIT manages a network of 13 research institutes, two of which have been equitised (excluding research institutes under economic groups and corporations, and science and technology organisations at universities and colleges under the ministry). In general, the institutes’ sci-tech activities have made positive contributions to the innovation level of enterprises in the industry and trade sectors. Many research products of these projects have been effectively applied to production and business in enterprises, contributing to improving their production capacity, quality, and competitiveness.
In May, MoIT, the People’s Committee of Vinh Phuc province, and a private electronics company launched a smart factory development project in the northern province of Vinh Phuc that aims to train 100 Vietnamese experts and provide consultation to help 50 businesses set up smart factories in 2022 and 2023.
As OpenGov Asia reported, consultants would be trained for 12 weeks to improve their knowledge and skills in setting up smart factories. The smart factory cooperation project is part of a series of innovative consulting activities for Vietnamese businesses and training experts to strengthen industry development activities.
Through the application of emerging technologies in production and manufacturing, businesses can improve their productivity and product quality, and reduce production costs. The project is expected to help SMEs improve the provision of supporting products and meet the production requirements of large corporations, gradually joining regional and global supply chains.
The Health Sector Cybersecurity Coordination Centre (HC3) of the U.S. Department of Health and Human Services (HHS) released an advisory for the healthcare industry regarding the risks posed by using the Internet of Things (IoT) gadgets and urging it to be proactive in addressing such security dangers.
In particular, the HC3 supplied a listing of the maximum commonplace IoT assaults and pointers for minimising dangers hindering IoT devices, which consist of:
- converting default router settings;
- the use of unique passwords on every tool;
- warding off the usage of typical plug-and-play;
- retaining both software and firmware up to date; and
- implementing a zero-trust model.
The HC3 also cited the importance of IoT security. Any internet-connected gadget is susceptible to hacking, and the IoT is no exception. A breach of these devices could result in catastrophic consequences, including tampering with traffic lights, disabling home security systems and harm to human life.
Since these devices might gather data, including personally identifying information, it is crucial to protect these systems. The ultimate objective is to protect the entire system, however, there are steps that may be taken to help achieve this, including securely storing, processing, and transferring data; maintaining the device’s security; and updating the device to lessen its vulnerabilities.
With the installation of IoT technology in an organisation, users also increase the attack surface upon which they can become a target for malicious activities. A flat network is one that contains IoT, IT devices, and operational technology (OT) in the same network.
Once attackers get initial access, they can execute the lateral movement and infiltrate more sensitive systems; this is the primary vulnerability. Network segmentation is an effective method for reducing the attack surface and preventing the compromising of entire systems.
The purpose of network segmentation in cyber security is to prevent the transmission of malware to other OT and applications. In network segmentation, the network is divided into several subnetworks or zones, which can minimise congestion and limit failures. This isolates the IoT devices from other IT equipment in use. Without segmentation, organisations run a greater risk of being hacked.
Some of the common IoT attacks are Privilege Escalation wherein an attacker can exploit bugs, unpatched vulnerabilities, design flaws, or even operating systems in an IoT device to obtain unauthorised access.
There is also a Man-in-the-Middle (MITM) Attack. This is a type of attack where the attacker can intercept information being sent between two parties and can also be used to steal or alter data.
The term Eavesdropping is when an attacker intercepts, deletes or modifies data that is transmitted between devices. This attack relies on unsecured network communications, while the Brute-Force Attacks aim to gain access to the IoT devices that are left unchanged with factory-set passwords.
Similarly, in Firmware Hijacking attackers can take advantage of this environment by adding fake updates or drivers to download malicious software.
Distributed Denial-of-Service (DDoS) Attack is when infected with botnet malware, IoT devices can be used to perform large-scale cyber-attacks. On the other hand, the Physical Tampering Attack is when the attacker could gain initial access from physically insecure IoT devices to install malware.
Meanwhile, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) and the Ukrainian State Service for Special Communications and Information Protection (SSSCIP) have signed a Memorandum of Cooperation (MoC) to increase collaboration on common cybersecurity goals.
The MOC strengthens CISA’s current connection with the Ukrainian government in the areas of statistics exchanges and sharing of high-quality practises on cyber incidents, technical exchanges on the security of critical infrastructure, cybersecurity education, and cooperative athletic activities.
Tech companies operating within Hong Kong’s Smart Government Innovation Lab announced the roll-out of solutions that are now ready to be acquired by companies and institutions.
Solution I – Website Extraction Solution
Regardless of their size, for all businesses, scraping the web for data to fuel their market research efforts offers the broadest and most insightful perspective of their respective industry. Manually acquiring data for market research is a mundane, arduous task – one, fortunately, easily automated by intelligently designed web crawlers.
To this end, a company under HK’s Smart Government Innovation Lab has developed a Website Extraction Solution that converts unstructured website data into structured ready-to-consume data. In this solution, a self-built data automation platform (called DataCanva) has been developed to scrap website information automatically, continuously and effortlessly, perform various data transformations and then output structured data ready for consumption through files, APIs and webhooks.
The Website Extraction Solution has a number of proprietary technologies to enable data crawling at scale even on difficult sites:
- Anti-ban: the technology has strategies to emulate a human visit session to avoid banning.
- Auto-queuing: Some sites have implemented auto queuing features but when the sites are overloading, this technology will enable the crawlers to queue up in a virtual waiting room just like a human.
- Login: While some sites require a valid credential and some session-related mechanics in order to load more data, the technology works seamlessly in these scenarios.
- Deep crawling: the technology does not only target web pages but also attachments such as WORD and PDF files.
- Natural Language Analysis: the technology can extract key phrases, key sentences and perform summarisation if needed.
- Data Change Detection: the technology extracts delta changes in data to minimise the data crawling workload and allow timely feedback.
- Rotational Proxy: the technology leverages a large pool of IP to decrease latency and improve success rate.
- Screen capture: the technology saves the screen in a PDF file for a historical snapshot of the website for future review.
The solution was developed to be applied in the areas of Broadcasting, City Management, Climate and Weather, Commerce and Industry, Development, Education, Employment and Labour, Environment, Finance, Food, Health, Housing, Infrastructure, Law and Security, Population, Recreation and Culture, Social Welfare as well as Transport.
The solution uses the latest in Artificial Intelligence (AI), Cloud Computing, Data Analytics, Deep Learning, Machine Learning, Natural Language Processing as well as Predictive Analytics.
The Website Extraction Solution is suitable if the below use cases:
- Market trend analysis
- Price monitoring (e.g., on major E-commerce websites)
- Research and development
- Competitor analysis
- News/alerts monitoring (i.e., good for compliance monitoring)
- Profile analysis (i.e., retrieve data to enrich the user/company profile)
Solution II – Things of Artificial Intelligence (ToAI)
ToAI is a unified platform that helps collect and prepare the data, builds, trains and deploys users’ ML models and monitors and automatically retrains them, offering performance at speed.
The solution was designed to be applied in the areas of City Management, Climate and Weather, Environment, Health, Housing, Infrastructure as well as Transport.
The solution uses the latest in Artificial Intelligence (AI), Data Analytics, Internet of Things (IoT) as well as Machine Learning.
Smart Equipment – the solution provides an Internet of Things (IoT) platform to connect various sensory devices installed on different equipment, to monitor operation conditions and improve safety, efficiency, effectiveness and endurance.
Airconditioning Energy Optimisation – the solution also provides an Internet of Things (IoT) platform to connect various sensory devices installed across the office workspaces, to monitor and optimise aircon cooling operations.
Two tech companies operating under the Hong Kong Smart Government Innovation Lab have launched new solutions that are now ready to be acquired by companies and institutions.
Solution I – Smart Car Park Management System
STEMHub is an HKSTP Incu-App company; a professional in applying AI, Internet of Things, Deep Learning and 5G technologies to smart city projects and smart home devices. The firm recently proposed the following Smart Car Park Management System:
- A cloud-based Car Park Management System would be implemented with an accompanying web/mobile application that would enable drivers to make pre-bookings. The functions include parking space reservation, payment, car search and other functions.
- NB-IoT devices will be installed to monitor and detect vehicle occupancy in real-time, allowing car parks to increase their utilisation of the solution and improve efficiency. Users can query the number of occupied or idled car spaces via the mobile app or website.
- The intelligent parking IoT system will be able to achieve data sharing by using network technology and can provide real-time feedback on the number of cars and parking lot information, and guide the driver to stop and pick up the car.
- AIoT and OCR technologies would also be used for recognising vehicles model and their number plates to identify the vehicles and help drivers to find their cars.
- While traditional parking management methods use manual cash charges, the new charging system of the intelligent parking loT is undoubtedly powerful. Intelligent parking IoT generally adopts IC card charging systems, such as QR Code payment, NFC Payment, etc. Drivers can make a payment via the website, mobile apps, at the Exit Gate, via parking machines, etc. In addition, the network video surveillance system can supervise the toll collectors, which can effectively manage financial security.
Apart from the above functions, the solution also provides reports on sales as well as marketing and billing analyses. The solution can also provide operators visibility on customer behaviour through big-data analytics, enabling them to develop personalised promotions and propose value-added services to increase revenue and customer satisfaction.
The solution was developed to be applied in the areas of City Management as well as Transport.
The solution uses Data Analytics, the Internet of Things (IoT), Mobile Technologies and Predictive Analytics technologies.
The Smart Car Park Management System can be installed in public car parks to enable members of the public to find and use car parking spaces efficiently and conveniently. The system can also assist in identifying car parking service improvement opportunities in a cost-effective manner.
Solution II – 3D Spatial Intelligence Platform for flow and traffic management
Outsight 3D Spatial Intelligence Platform is a computer vision-based flow and traffic management solution. The platform uses multiple Outsight 3D Semantic Cameras equipped with an active infrared 3D Laser, an optional RGB 2D Camera, and an intelligent embedded processing unit aimed to generate a real-time regional live map with all people, vehicles and items in the area of interest. The platform delivers real-time predictive analytics, KPIs, alerts and queries for end-user to take the best decisions in response to the event of interest.
The real-time situation awareness capability allows the user to visualise real-time footfall, waiting time, and individual and aggregated behaviour, to spot key events that require attention and interpret long-term trends. The platform can detect and understand the interactions between persons and objects to guide the optimisation of any facilities, assets’ usage and usage experience. The platform also provides timely security-related alerts and tracking without the need for a visual 2D camera.
The solution was developed to be applied in the areas of City Management, Environment, Law and Security, Population as well as Transport.
The solution employs the latest in Artificial Intelligence (AI), Cloud Computing, Data Analytics, Deep Learning, Internet of Things (IoT), Machine Learning, Mixed Reality, Predictive Analytics and Video Analytics.
Outsight’s 3D Spatial Intelligence Platform for flow and traffic management can be used in both outdoor environments, by mounting onto street lamps, and indoor environments in government office buildings. The platform monitors population and vehicle flow using only a 3D laser sensor. It can track and detect any event and item being interested in end-user for security and flow control measurements.
A 2D visual camera may not be required and a majority of the detection and video will be processed within the camera itself. The solution can help to reduce the privacy concerns of the general public while achieving the needs of flow and security management required by end-user.
Cloud computing services, artificial intelligence (AI), the Internet of Things (IoT), 5G technology, fixed broadband Internet, and blockchain technology are expected to lead the information technology and telecommunications sector over the next few years. According to a recent survey, technology companies are investing in core and fundamental technologies to serve digital transformation. Encouraging the digital transformation of business could be a crucial step as the Department of Enterprise Management earlier estimated that the country’s gross domestic product (GDP) could surge by US$30 billion if the country successfully digitises its small and medium-sized enterprises (SMEs).
Cloud computing services in Vietnam are forecast to develop with better security than physical servers, helping organisations increase productivity and reduce machinery and infrastructure costs. Vietnam’s cloud computing market is predicted to grow by nearly 26% annually, the fastest pace in Southeast Asia and higher than the global average of 16%.
About 66.67% of enterprises are applying AI to their digital transformation process. AI can manage and optimise infrastructure and customer support and is expected to access all businesses in the future. Last year, the government issued a national strategy on the research, development, and application of AI until 2030, aiming to gradually turn Vietnam into an innovation and AI hub in ASEAN and the world.
Internet of Things
The rate of firms using the IoT this year has reached 86.67%, an increase from 66.67% in 2021. IT experts believe it has the greatest development potential at present. Businesses can connect IoT devices from afar, collecting, and managing their data, processing data on demand, and sharing data with devices outside the IoT network. In this way, the IoT can automate processes, minimise labour and infrastructure costs, manage supply chains, optimise energy use, and improve sustainability.
The 5G is expected to contribute about 7.34% to the country’s GDP by 2025, according to the Institute of Information and Communications Strategy under the Ministry of Information and Communications (MIC). The application of 5G services will help telecom enterprises boost the use of AI and IoT in smart city building and business operations and meet digital users’ demand for high-definition videos, virtual reality, and augmented reality.
According to the MIC’s Authority of Telecommunications, telecoms network infrastructure has been expanded to 100% of communal-level localities. The 2G, 3G, and 4G mobile networks have covered 99.8% of the population while 5G has been piloted in 16 provinces and cities.
By the end of last year, there were nearly 71 million mobile broadband subscribers and 18.8 million fixed ones, a 4% and 14.6% increase from 2020, respectively. Internet traffic in Vietnam also rose by over 40% last year. Currently, the proportion of adults using smartphones in Vietnam is 73.5%. Vietnam aims to increase the rate to 85% by the end of 2022.
With an increase in blockchain technology applications and rapid, large-scale digital transformation, Vietnam has the potential to compete in the global market and become a hub for technology. It is estimated that by 2030, blockchain will create 40 million jobs, and 10-20% of the country’s economic infrastructure will run on blockchain-enabled systems.
A team from the Faculty of Architecture of the University of Hong Kong (HKU) has developed a novel e-inspection 2.0 system with an in-house developed mobile application (APP) “e-inStar”, which is used to monitor the manufacturing and cross-border delivery of student residence modules constructed in the Mainland during the COVID-19 pandemic.
The new system has adopted cutting-edge digital technologies including blockchain, building information modelling (BIM), Internet Of Things (IoT), and geographical information system (GIS), and is demonstrated to be an effective and reliable tool for real-time offshore monitoring and inspection of building works.
The study was led by Professor Wilson Lu of the Department of Real Estate and Construction alongside Dr Frank Xue from the same Department, Professor Anthony Yeh from the Department of Urban Planning and Design, and Ir Mr KL Tam, Director of Estates.
The research findings have been published in the Journal of Management in Engineering, an academic journal of the American Society of Civil Engineers (ASCE). Modular Integrated Construction (MiC) was first mentioned in the HKSAR Chief Executive’s 2017 Policy Address to expedite the building process to increase supplies.
The HKU Wong Chuk Hang Student Residence is a pilot project built with the MiC technology. The two 17-floor tower buildings on top of a three-story podium structure will provide 1,224 student hall places. The project is scheduled to be completed by the second quarter of 2023. Before the COVID-19 pandemic, qualified inspectors were dispatched across the border for inspection, involving a lot of manpower and onerous paperwork.
The current e-inspection 1.0 system used by the industry adopts some digital means, which allow the easing of some paperwork, such as uploading of inspection photos and documents for filing and records, but inspectors’ physical presence onsite remains necessary.
During the COVID-19 pandemic, infectious control measures such as social distancing and border control measures have made sending authorised persons from Hong Kong to Mainland factories for onsite inspections extremely difficult.
The new e-inspection 2.0 system consists of a mobile application called e-inStar which encodes the standardised inspection processes of MiC and enables inspection works in an offshore factory. The detailed operations are as follows:
- The contractor generates a list of inspection tasks for a specific project.
- Different stakeholders (e.g., registered structure engineer, authorised person) register on the platform and state their role types.
- A two-factor authentication (2FA) (i.e., password and fingerprint) will confirm the identity of the inspectors.
- When a construction task is completed, the contractor checks the target objects regarding the check items and records the corresponding data (i.e., inspection results and photos)
- At hold points, the client representative and/or registered structural engineer, authorised person and building service inspector ask the contractor’s inspectors to recheck target objects under their real-time video supervision.
- The recheck results are compared with the record, and if they are the same and in compliance, the client representative and/or registered structural engineer, authorised person, and building service inspector can digitally sign the record in the distributed blockchain network.
- If any inconsistency or noncompliance is spotted, a request for re-inspection will be sent to the contractor. All records on procedures, being dispersed and stored in the blockchain network, are traceable.
- The signed record is converted into a legally effective document and stored in a distributed blockchain network. All records are thus immutable and safeguarded in the blockchain network.
Also, IoTs are utilised to collect temperature, humidity, vibration, and location information; GIS supports real-time proof of location, while BIM is used for better information management and presentation.
The core of the e-inspection 2.0 system is the blockchain technology which can ensure the accountability, immutability, and traceability of all the inspection information collected from the APP, IoTs, and GIS.
The team is developing and researching BIM and blockchain, effectively integrating and managing all kinds of information such as design, construction, and operation for high-end technology applications.
Professor Anthony Yeh, a GIS expert, stated that GPS technology can provide a certificate of origin and real-time proof of location (PoL). Managers can view the real-time location of the module at any time, with accurate spatiotemporal data for real-time management of materials in construction projects, thereby improving work efficiency.
His team has carried out pioneer research and development of indoor and outdoor navigation systems and has generated many patents. The application programme and smart address system developed by Professor Yeh’s team have been applied in this project for logistics monitoring. The project was supported by the Logistics and Supply Chain MultiTech R&D Centre established under the Innovation and Technology Fund.