Commercial licensing goes digital via Service NSW app – OpenGov Asia

Two technology companies operating under the Hong Kong Smart Government Innovation Lab have launched new solutions that are now ready for acquisition by companies and institutions.

Solution I – AI Powered Building Facade Inspection Technology

The description

Like most cities around the world, Hong Kong has many aging buildings that require regular inspection and maintenance to ensure they are up to safety codes. The conventional manual approach to inspecting high-rise buildings is dangerous, time-consuming and expensive.

Thus, the technology company has developed a new automated inspection solution based on a drone using AI. In this approach which is quantitative as opposed to the traditional qualitative method, a large number of high resolution visual images are used to map the building envelope in detail. To store, process and analyze this data, cloud computing and big data analysis tools are deployed. Custom AI models are used for defect detection and inspection report generation. The solution dramatically reduces the complexity, time and cost associated with the traditional building inspection process.

Application area

The solution was developed to be applied in the fields of city management, housing, infrastructure, building inspection as well as drone survey methods.

Technologies used

The solution uses the latest advancements in Artificial Intelligence (AI), Cloud Computing, Data Analytics, Deep Learning, Machine Learning, Predictive Analytics, Video Analytics, Big Data as well as infrared analysis.

Use case

The proposed solution was designed to help in the management of a city like Hong Kong. It is estimated that about a third of Hong Kong’s more than 42,000 buildings will be over 65 years old by 2040. As these buildings age, the need for ongoing inspection and maintenance increases. However, this means that the risks also increase (eg falling objects and other security incidents).

The company’s inspection solution provides an efficient and inexpensive way to monitor building condition and take necessary preventive maintenance actions. For example, once a building inspection establishes the baseline of its condition, it can be used to automatically compare subsequent inspection results and diagnose changes in defects, additions/modifications, repair work, etc. repair, etc This can be included as part of the mandatory building inspection program introduced by the Hong Kong government in 2012, which provides for periodic inspection of buildings to ensure safety.

The system can also help map any city to locate aging buildings and categorize them into safety deficient, functionally deficient, aesthetically deficient or non-deficient categories. Timely inspection, identification of faults and general condition of buildings can lead to predictive and preventative repairs and maintenance. It is expected that with the increasing urbanization in the world, the implementation of such AI-powered digital technology will make built infrastructure safer, greener and smarter.

Solution II – Urban Traffic Management Solutions

The description

This technology company presents two solutions: the Smart Intersection system and the Intelligent Corridor system.

The smart intersection, which is currently operational at the corner of Victoria Parade and Brunswick Street, Carlton, Melbourne, is fitted with the technology company’s latest ANPR sensor configured as a ‘yellow box’ detector to provide detection of the Vehicular traffic blocking ‘busy yellow box’ intersections to prevent incursions into a yellow box and block oncoming traffic.

This technology allows the City of Melbourne to test new mobility strategies in a real-world environment – with a particular focus on improving safety standards and the latest congestion-relieving technologies to reduce time spent in stopped traffic .

Any third-party CCTV camera can be integrated with the company’s Deep Learning Versatile Platform (DLVP), which annotates video feeds providing “traffic insights” to operators on a variety of video sets. very valuable data to provide an accurate picture of what is happening in real time. -time at busy intersections.

The Smart Corridor uses the company’s mobility suite, including its Deep Learning Versatile Platform (DLVP), EcoTrafiX – Urban Mobility Management, and its Mobility Data Platform (MDP), a data fusion platform for advanced analytics. These elements combine with existing and new road technologies to provide any transport operator with the levers of change needed to create an effective and efficient multi-model ecosystem.

Application area

The solution was developed to be applied to city management, development, infrastructure as well as transportation.

Technologies used

The solution uses the latest advancements in Artificial Intelligence (AI), Augmented Reality, Cloud Computing, Data Analytics, Internet of Things (IoT), Robotic Process Automation as well as Analytics video.

Use case

Currently, the majority of the above challenges can arise due to a lack of enforcement, especially via an automated solution. The technology company’s Deep Learning Versatile Platform (DLVP) is a comprehensive ecosystem enabling complex AI-driven traffic monitoring and management applications.

The system has been built in a very flexible way; its deep learning component can be trained quickly and efficiently to specific customer needs. The platform translates visual inputs into digital data – this data is analyzed and processed in real time to trigger multiple actions and generate dynamic reports.

About Donald J. Beadle

Check Also

New Profile Pic app: Does Russia collect personal data from Facebook users?

It’s a new internet craze that turns your Facebook profile picture into a painting or …