During our participation in Transfiere, dAIEDGE presented some of our main advances in AI applied to edge computing. In a presentation given by Óscar Deniz, a researcher at the University of Castilla-La Mancha, one of the 36 partners that make up our project consortium, attendees were able to learn about several of the use cases being developed within the project.
During the presentation, three pilots were shown that reflect the potential of AI when deployed directly at the edge, i.e. close to where the data is generated:
- The first focuses on intelligent warehouse management using autonomous drones that perform surveillance, shelf inspection and inventory tracking tasks, integrating all the information into a digital twin of the warehouse and exploring scenarios for collaboration between workers and mobile robots.
- The second pilot addresses the processing of Earth observation images directly on satellites. Using embedded artificial intelligence models, the system can analyze data in orbit and transmit only relevant information, significantly reducing the time needed to obtain useful results in applications such as environmental monitoring or disaster management.
- The third use case focuses on the development of edge and fog technologies for smart cities, with the aim of processing urban data in real time and improving services such as road safety. This pilot will be validated in the Modena Automotive Smart Area, an urban environment designed to experiment with connected and automated mobility technologies.
If you would like to learn more about these use cases, we invite you to watch Óscar Deniz's full presentation on our YouTube channel, where he explains in simple terms how dAIEDGE is bringing artificial intelligence closer to where data is generated.