BREAKING NEWS – 10.05.2023

In its press release of 3 May 2023, algoWatt, a Green Tech Company listed on the Euronext Growth Milan (EGM) market, announces that artificial intelligence (AI) becomes part of the innovative technologies used by Sundrone (a company belonging to the Group, an Italian leader in the field of thermographic and visual inspections and surveys of photovoltaic systems through the use of drones), for inspections of photovoltaic systems with drones. Sundrone has included the use of AI within its proprietary software “PV INSPECTOR”, licensed to it by algoWatt, the developer of the same. This will allow Sundrone to capitalize on the data collected while increasing the security and reliability of its services. The new Machine Learning algorithms make it possible to automate the recognition of anomalies on thermal and visible images and to speed up the process of drafting the report, without negatively affecting the high standards of precision that characterize the service. The new solution allows the reduction of publication times in the dedicated WEB PV portal, wherein the reserved area customers can safely access survey data. The portal allows the use of the results of visible and thermographic inspections, the information acquired during the inspection and the processing performed on the acquired images. Through an infrastructure based on geo-referenced representations, the operator can view, for each plant: An aerial map of the plant with the overlap of a layer that reproduces the structure of the solar park derived from the electrical diagram, which allows the identification of the individual elements (panels and strings); A section containing the estimates of loss and production (both in terms of power and economics), resulting from the presence of the anomalies found; A section for the analysis of individual anomalies. The map then allows, once the anomaly has been selected or the severity level has been chosen, to display the position of the panels/strings affected by critical issues. For the single anomaly, it is also possible to view the images of the plant section acquired by the drone, and the related screenshots produced with the desktop application, in order to identify it. Another important function of the application is the historical analysis of the results of surveys on the same system and on the related components. This allows, through the analysis of the history of the individual elements, to identify in a preventive manner the areas subjected to abnormal stress that leads to malfunctions and, consequently, to plan and operate targeted interventions for the solution of the problem at the beginning. Considering the press release, we confim our recommendation, target price € 1.50 rating BUY and risk MEDIUM.

Leggi il pdf