Patent ID: 11966981
Assignee: SHENZHEN JU FENG TECHNOLOGY COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G  B | IPC B  G

Claim 5:
6. A system for assessing an insured loss, comprising:
an unmanned aerial vehicle, configured to capture a photo of a roof of a house to be assessed for damage, and transmit collected image data to a background; and
the background, configured to first build up a database, and perform model training on big data using a deep learning model or a machine learning model to improve a recognition effect, automatically recognize the image data through the deep learning model or machine learning model, and feed back a recognition result by the deep learning model or machine learning model, and then automatically mark out a damage point, a suspected damage point, and a non-damage points according to the recognition result, and finally form a loss assessment report using the marked results;
wherein a determination is made as to whether a data collection target is global data collection or detailed data collection according to needs; in response to determining that the data collection target is the global data collection, the unmanned aerial vehicle is configured to be controlled to fly at a relatively high altitude, collect global image data, and feed it back to the background; and in response to determining that the data collection target is the detailed data collection, the unmanned aerial vehicle is configured to be controlled to fly at a relatively low altitude, collect detailed image data, and feed it back to the background.