With the aim to help potential victims recognize and avoid danger before falling victim to stalking crimes, the KISA and the NPA collaborated to develop a relevant technology. It is technology capable of detecting precursors of stalking crimes. It provides warning to potential victims and alert the police, aiding in the apprehension of the offender before any harm is done. By adopting this technology to over 1,200 high-risk stalking victims, Korea has successfully safeguarded from stalking crime
Innovation Tag: Artificial Intelligence (AI)
vCity is a human-centric platform for urban digital twins, with the goal of improving life quality within the city by assisting urban planners make evidence-driven urban decisions. vCity's innovative approach combines 1) simulation by designing virtual replicas of the cities, 2) what-if scenario tools in urban planning and 3) getting the "pulse" of the city from digital platforms for citizen participation.
The study integrates Artificial Intelligence (AI) techniques, and a digital twin methodology to process and interpret urban data streams derived from citizen interactions with the city's coordinate-based problem mapping platform. Using an interactive GeoDataFrame within the digital twin methodology, dynamic entities facilitate simulations based on various scenarios, allowing users to visualize, analyze, and predict the response of the urban system at
GovText is a Natural Language Processing (NLP)-based text analytics platform developed by GovTech’s Data Science and Artificial Intelligence Division (DSAID). The platform is designed to help public officers efficiently analyse unstructured textual data. In particular, it offers a web portal tool and a model-hosting platform, which allow:
Topic modelling with interactive presentation of results
Text summarisation
Development, deployment, and hosting of customised AI models
Prediction of use…
The Singapore Land Authority (SLA) embarked on a groundbreaking project to create the world's first digital twin of a country. This initiative, known as Virtual Singapore, involved the use of cutting-edge technology to develop a highly detailed 3D representation of the entire island nation. The project used laser-scanning aircraft and vehicles equipped with lasers to capture terrain and surface information, creating a comprehensive digital model of Singapore. The digital twin encompasses…
SignAvatar's long-term vision is to enable real-time sign language generation, opening doors to multiple applications such as TV, Social Media, Video calls, Online courses, and many applications in the public sector.
Our first product is TransportSign, a system for auto-generated service information in Sign Language for Airports and Train Stations. By transforming audible announcements and on-screen text into SL, we enable more than 460 Million Deaf individuals around the world to travel freely
The Government of Canada is experimenting writing existing laws and proposed regulations into code. Encoding rules allows us to run legal simulations in the regulatory drafting room, which helps us detect ambiguities, loopholes, and gaps in the rules that often go unnoticed. However, existing tools designed by and for programmers are not intuitive for rule-makers. In response, we set out to develop one – an open-source Rules as Code tool called Blawx.
Case Study
Development and Operation of the 「Korea Voice Analysis Model (K-VoM) for Voice Phishing」,…
Monetary damage from voice phishing crime in Korea stands at 3 trillion won(US$2.24 billion) over the last five years, causing massive pain to citizens. The Ministry of the Interior and Safety (MOIS) developed the first ever voice analysis model that could precisely filter out criminal voices, track down individuals involved in voice phishing crime, and form criminal clusters. This technology sped up voice phishing crime investigations and is in turn leading to reduced damage for citizens.
Case Study
Machine Learning Model for Type 2 Diabetes Mellitus Incidence Prediction for the People Medically…
The innovation was developed because the Costa Rican Social Security Fund seeks to work with strategies that allow the social security system to be sustainable given the limitations of public health and the increase in health spending.
This is the development of a machine learning predictive model to determine the propensity to develop Type II Diabetes Mellitus in patients with EDUS.
It is innovative as it is the first predictive model based on clinical data records stored in EDUS.
• This is large scale national initiative project that showed nursing and physicians time to response to the alert has improved, and led to improving time to patient assessment and time to intervention.
• Using Artificial Intelligence in Sepsis recognition
• All of this promotes more personalized care and complements professional decision making.