In its first 18 months of activity, ArkadIA is developing a versatile prototype designed for multiple industrial sectors, thanks to funding obtained in June 2024 through the FESR 1/2023 call – “Contributions for the development of innovative startups” from the Autonomous Province of Trento – .
The solution combines an electronic board with onboard Artificial Intelligence (AI) models, each trained to perform a specific task.
The system is designed for simplicity and energy efficiency, with a modular, scalable architecture that allows computing power to be tailored to the needs of each application.
Data processing through AI takes place directly on the device, without transferring data remotely. This enables operation in areas with limited connectivity, reduces environmental impact, and enhances security.
RAINguard is designed for the smart agriculture sector, with the goal of collecting and analyzing images, environmental parameters, and other key data to guide field interventions—such as irrigation and treatments—in a precise and optimized way.
It will monitor soil conditions, plant health, irrigation requirements, and factors that may encourage pest proliferation. Leveraging AI-driven analysis, RAInguard can forecast how these conditions will evolve, alerting operators when action is needed—or even performing interventions automatically.
The solution relies on acquiring and predicting data trends from sensors installed near the railway track, with on-site processing to assess the infrastructure’s condition and detect signs of degradation.
This predictive diagnostic technology can later be adapted to a wide range of industrial applications, including monitoring engines, heavy machinery, furnaces, and other industrial equipment.
