Showing 26 tools matching filters

Automatic wildfire burn scar monitoring

Public sector Country or Region Greece Sourced From IRCAI Global Top 100

OrionLab continuously monitors wildfire events and autonomously produces highly accurate burn scar maps - aiding authorities to assess the full scope of the incident, identify affected assets, and strategically prioritize resources for the most effective restoration and recovery of the impacted area.

Monitoring and Control Resource Planning

AviaTor

Public sector Country or Region Belgium Sourced From Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

AviaTor, developed by ZiuZ, focuses on improving the processing of CSAM (Child Sexual Abuse Material) reports. It uses Augmented Visual Intelligence and Targeted Online Research to prioritize and automate the classification of reports, helping law enforcement agencies identify perpetrators more efficiently. The tool integrates expert insights and external online sources to speed up the process, enabling faster and more effective investigations. AviaTor is funded by the EU’s Internal Security Fund – Police.

Monitoring and Control

Cetus: AI for Monitoring Whale Populations from Space

Public sector Country or Region Canada Sourced From IRCAI Global Top 100

Cetus uses high-res satellite imagery to automate and improve large-scale monitoring of migratory patterns of marine mammals and tries to understand how these interact with seasonal changes and climate change impacts. By processing satellite images, Cetus efficiently identifies mid-sized cetaceans and provides annotated data, enabling informed decision-making for conservation and research efforts.

Monitoring and Control Resource Planning

City of Dubrovnik's visitor counter platform

Public sector Country or Region Croatia Sourced From Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

The City of Dubrovnik's visitor counter platform provides live camera feeds from key locations in Dubrovnik’s historic center, allowing users to monitor real-time visitor density. Machine learning algorithms analyze crowd patterns over time, helping to predict peak congestion periods and optimize urban mobility. This service supports residents, tourists, and businesses in planning their activities while contributing to the Respect the City initiative to manage over-tourism. By combining live visuals with AI-driven insights, the platform enhances visitor experience and informs city management strategies.

Monitoring and Control Resource Planning

Danish Business Authority (DBA) Fraud Detection

Public sector Country or Region Denmark Sourced From Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

The AI model developed by the Danish Business Authority (DBA) automates the monitoring and detection of fraud within businesses by analyzing complex interactions among 224 parameters. It utilizes machine learning to evaluate businesses in near real time, providing continuous assessments of compliance and risks. The model incorporates data from various authorities, allowing for a comprehensive view of business activities and lifecycles. Additionally, it emphasizes transparency and traceability, enabling the DBA to explain its decisions and continuously improve its processes.

Monitoring and Control

Digital twin for the Mlaka neighborhood in Kranj

Public sector Country or Region Slovenia Sourced From Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

The "Pametna Mlaka" project led to the development of a digital twin for the Mlaka neighborhood in Kranj, Slovenia. This digital twin is powered by data gathered from technologies like smart meters (for electricity, gas, water, and traffic) and environmental sensors. By leveraging this data, the project facilitates real-time monitoring of resource usage, allowing both citizens and authorities to access and analyze it. Ultimately, the goal is to enhance resource management practices and increase sustainability, and scale up the solution beyond Mlaka, which served as the arena for this pilot project.

Monitoring and Control Resource Planning

DUET's CityTwin

Public sector Country or Region Belgium Sourced From Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

DUET's CityTwin platform focuses on urban planning and smart city solutions. It enables cities to create "digital twins," digital replicas of urban environments, to simulate and analyze different scenarios for urban development. Through this platform, municipalities can optimize resources, improve city services, and foster better citizen engagement. The tool is designed to support informed decision-making by integrating real-time data and visualizing complex urban systems.

Monitoring and Control Resource Planning Service Provision and Delivery

GigaMaps

Public sector Country or Region Republic of Korea Sourced From IRCAI Global Top 100

The platform provides data on school locations, connectivity, and infrastructure. It collects information from government bodies, open data sources, and AI models. Schools' real-time connectivity is monitored through various apps and collaborations. Additionally, the platform offers insights into the infrastructure surrounding schools, contributed by partners and government entities.

Monitoring and Control

Go Vocal (formerly CitizenLab)

Public sector Country or Region Belgium Sourced From IRCAI Global Top 100

Go Vocal is a cloud-based tool that allows citizens to participate in local governance and governments to manage community feedback on important policy decisions, using features such as participatory budgeting, surveys, and polls.

Monitoring and Control Service Provision and Delivery

Hexagon's GeoAI project for wastewater in Cologne

Public sector Country or Region Germany Sourced From Joint Research Centre Data Catalogue: Public Sector Tech Watch latest dataset of selected cases

Hexagon's GeoAI solution for wastewater management in Cologne, Germany, leverages AI to automatically detect changes in urban infrastructure, including the condition of wastewater systems. By using geospatial data and machine learning, the system enhances the monitoring and management of wastewater networks, identifying issues like blockages and leaks in real-time. The solution enables more efficient maintenance and quicker responses, particularly in monitoring private lands, helping the city optimize its wastewater management processes.

Monitoring and Control Resource Planning
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