Drone Swarm for area and infrastructure inspection
Structural Safety for Building and Critical Infrastructure
The structural condition of critical infrastructures is inferred by processing data from local sensors, SENSO operates a decision support software that collects this structural data and helps in decision-making during critical times. Currently, the collection of sensor data takes place on customer’s premises, but it is inefficient and causes data privacy concerns and increased response time. A distributed DSS architecture, with components at the edge and the central cloud, would be more beneficial.
Collaborative robotic automation
This use case investigates the application of a finishing machine in the context of medium and large-scale industrial operations. The machine is specifically designed to meet the demands of companies that prioritize high-quality sanding and finishing outcomes. The study takes into consideration the ongoing transformation of the furniture market, which is shifting from mass production to a more customized approach characterized by small batch production and even single piece fabrication. The research highlights the machine’s ability to enhance the thermal properties of treated wood materials.
Blockchain can be used in the distribution and operation of IoT networks as a target for DAO paradigms, providing a backend for distributed data structures to securely store transactions in a decentralized manner. Smart metering is a key enabler for integrating smart energy renewable systems to existing infrastructure. In the OASEES project, novel IoT-based meters will be implemented to support on-the-fly programmability, using IoT sound transducer (microphones) applied to wind turbines
The need for a comprehensive and open solution for edge processing
Recent developments in edge computing have led to the emergence of various infrastructure and service management platforms, including open-source options. However, to fully realize the potential of edge processing, a holistic solution incorporating central infrastructures and smart devices is required. Despite the distributed and heterogeneous nature of cloud computing, there is a lack of open management frameworks. Existing solutions, such as hybrid core/edge management offerings, are limited in scope and are not suitable for private deployments. Accessibility is a crucial aspect for researchers, thus, user-friendly interfaces for data management and ML/AI algorithm selection and optimization are necessary. Unfortunately, these are currently lacking in edge orchestration solutions.
The OASEES project aims to create a new programmability framework that will allow edge devices to work together in a decentralized and secure way, using advanced technologies such as AI/ML accelerators (FPGAs, SNNs, Quantum) and a privacy-preserving Object ID federation process. This framework will be fully open-source and developed specifically for Europe.