Two software firms affiliated with the Hong Kong Smart Government Innovation Lab have released new solutions that are now available for purchase by businesses and institutions.
Solution 1: Building Façade Inspection Technology Powered by AI
Hong Kong, like most cities across the world, has a lot of old buildings that need to be inspected and maintained on a regular basis to be up to safety codes. The traditional manual technique for tall structure inspection is dangerous, time-consuming, and expensive. As a result, the IT company has created an AI-powered automated drone inspection system. A huge number of high-resolution visual photographs are employed to map the building envelope in detail in this quantitative methodology, as opposed to the qualitative conventional method. Cloud computing and big data analytics solutions are used to store, process, and analyze such data. For fault identification and inspection report production, custom-built AI models are employed. The method dramatically decreases the complexity, time, and expense of the traditional building inspection procedure.
Areas of Application
The solution was created to be used in a variety of fields, including city management, housing, infrastructure, building inspection, and drone surveying.
Technology Employed
Artificial Intelligence (AI), Cloud Computing, Data Analytics, Deep Learning, Machine Learning, Predictive Analytics, Video Analytics, Big Data, and Infrared Analytics are all used in the solution.
Case in Point
The proposed system is intended to aid in the administration of a metropolis such as Hong Kong. By 2040, it is anticipated that one-third of Hong Kong’s approximately 42,000 structures would be older than 65 years. As these structures age, the necessity for ongoing inspection and maintenance becomes more important. However, this also means that the hazards rise (e.g., incidents of falling objects and other safety-related incidents).
The company’s inspection solution allows for a more efficient and cost-effective manner of monitoring the building’s condition and doing essential preventative maintenance. For example, once a building’s state is established via inspection, the baseline may be used to compare with subsequent inspection findings and determine changes in flaws, additions/alterations, repair work, and so on. This can be included in the Mandatory Building Inspection Scheme, which was adopted by the Hong Kong government in 2012 and requires periodic inspections of buildings to guarantee their safety.
The technology may also assist in mapping any city to find aging structures and categorize them as unsafe, functionally deficient, aesthetically deficient, or not deficient. Building inspections, problem detection, and general conditions can lead to predictive and preventative repair and maintenance. With the rise of urbanization throughout the world, it is believed that AI-powered digital technologies would make constructed infrastructure safer, greener, and smarter.
Solution 2: Urban Traffic Management Solutions
The Smart Intersection system and the Intelligent Corridor system are two solutions presented by this IT business. The Smart Intersection, which is currently operational on Victoria Parade and Brunswick Street in Carlton, Melbourne, is equipped with the tech firm’s latest ANPR sensor configured as a ‘Yellow Box’ detector to provide traffic detection of vehicles blocking busy ‘yellow box’ intersections to prevent incursions into a yellow box and blocking oncoming traffic.
The City of Melbourne may use this technology to test new mobility initiatives in a real-world setting, with a particular focus on increasing safety standards and using the newest congestion-reduction technologies to minimize time spent stuck in traffic. Any third-party CCTV camera can be integrated with the company’s Deep Learning Versatile Platform (DLVP), which annotates video streams in order to provide operators with ‘traffic insights’ on a variety of very valuable datasets in order to provide an accurate picture of what’s happening in real-time at busy intersections.
The Deep Learning Versatile Platform (DLVP), EcoTrafiX – Urban Mobility Management, and the Mobility Data Platform (MDP), a data fusion platform for advanced analytics, are all used in the Intelligent Corridor. These characteristics, when combined with existing and future roadside technology, offer any transportation operator with the change levers required to establish a multi-model environment that is both successful and efficient.
Areas of Application
The solution was created with city management, development, infrastructure, and transportation in mind.
Technology Employed
Artificial Intelligence (AI), Augmented Reality, Cloud Computing, Data Analytics, Internet of Things (IoT), Robotic Process Automation, and Video Analytics are all used in the solution.
Case in Point
The bulk of the following issues is now caused by a lack of enforcement, particularly when using an automated solution. The Deep Learning Versatile Platform (DLVP) from the IT firm is a comprehensive ecosystem that allows complicated traffic monitoring and management applications to be powered by artificial intelligence. The system has been designed to be extremely adaptable; its deep learning component can be swiftly and effectively taught to meet the demands of individual customers. The platform converts visual data into digital data, which is then analyzed and processed in real-time to initiate a variety of activities and create dynamic reports.
