Version 1.0; Full Model; Php version 8.0; Apache 2.4; Python 3.7 (adapted to avoid GPU); RabbitMQ 4.0.Management; MariaBD10;
This module analyzes Thermographic photos used to inspect PV panels with AUVs. The analysis can be performed on individual photos or on a set of photos within the same folder. Users can upload images during analysis or save them beforehand in a user-accessible database. Results are stored in a database and can be viewed on-screen at any time or downloaded as a ZIP file. The results include new images showing detected panels and marked hotspots, along with the probability of each hotspot's accuracy. This information is also provided as a dataset with coordinates. Users can select a pre-trained model stored in a database (developed using TensorFlow in Python) or use a dummy model that generates random results.
This module analyzes Thermographic photos used to inspect PV panels with AUVs. The analysis can be performed on individual photos or on a set of photos within the same folder. Users can upload images during analysis or save them beforehand in a user-accessible database. Results are stored in a database and can be viewed on-screen at any time or downloaded as a ZIP file. The results include new images showing detected panels and marked hotspots, along with the probability of each hotspot's accuracy. This information is also provided as a dataset with coordinates. Users can select a pre-trained model stored in a database (developed using TensorFlow in Python) or use a dummy model that generates random results.