As sustainability becomes a priority, traditional supply chains - where products move in one direction, towards the customers - are no longer enough. Circular Networks (CNs) offer a more efficient approach by integrating both forward and reverse...
Global turmoil, terrorism and hybrid war has made cost-effective and energy-efficient surveillance of the critical infrastructure extremely important for public safety and critical functions. PROACTIF tackles the challenge by developing unmanned...
The project aims to address the problem of the limitations of current Light Detection and Ranging (LIDAR) and camera technologies for autonomous driving. Traditional mechanical LIDAR systems are bulky, expensive, and require frequent maintenance, the...
Some premature infants spend weeks in incubators. During this time, their nervous system continues to develop. It is medically proven that prolonged periods of pain during this phase impact negatively the development of their white matter. However...
The project is delivered in the framework of the FAIR-IMPACT EU project (GA 101057344), supported by its 2nd Open Call Route 2 support. The aim of the project is to improve PID support into the Hungarian National Data Repository, known as ARP ( https...
B-prepared builds on a freely accessible massive collaborative knowledge base and data hub, demonstrating its usefulness via three demonstrator applications: a cooperative multiplayer VR serious game, simulating real disaster scenarios for the safest...
The project will further develop and optimise the road defect detection algorithm developed within ARNL. The algorithm uses a self-learning neural network, LiDAR and camera fusion to determine road surface deviations in front of vehicles that are...
The project is delivered in the framework of the FAIR-IMPACT EU project (GA 101057344), supported by its 1st Open Call Route 2 programme. The aim of the project is to integrate RO-Crate support into the Dataverse repository system as a component of...
The Multinational Capability Development Campaign (MCDC) Artificial Intelligence Supported by Sensor Fusion project was jointly organised by HUN-REN SZTAKI (Hungarian Research Network Computer and Automation Research Institute), the MH Military...
Development of an AI-supported, camera-based product family for monitoring and predicting daily activities of premature infants
Department in charge
Currently used methods rely exclusively on objective diagnostic tools for monitoring the condition of infants. However, professionals increasingly recognize the importance of individual quality of life for patients, although suitable tools for...
The activities of the National Laboratory are focused on fundamental and applied research on the autonomous functionality and the control of road vehicles, aircraft and drones, robots and cyber-physical manufacturing systems. The main fundamental...
The aim of our research and development is to use new technological opportunities created by the digital transformation of industry. Also, to make production and logistics networks more efficient and adaptable to changing circumstances, while taking...
