公开(公告)号：US12013346B2

公开(公告)日：2024-06-18

申请号：US17562719

申请日：2021-12-27

Applicant: BLANCCO TECHNOLOGY GROUP IP OY

Inventor： William Fitzgerald ,  Donal O'Shaughnessy ,  Donie Kelly ,  Paul O'Sullivan ,  Liam O'Callaghan ,  James Donovan ,  Shane Hallinan ,  Charlie McGrory ,  Wayne Morgan ,  Uday Chitturi ,  Patrick Conway ,  John Mollaghan ,  Kevin Sutton

IPC: G01N21/88 ,  G01N21/95 ,  G01N21/958 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06T7/00 ,  G06T7/13 ,  G06T7/80 ,  G06V10/42 ,  H04N7/18 ,  G06Q10/30

CPC classification number: G01N21/8851 ,  G01N21/95 ,  G06N3/045 ,  G06N3/08 ,  G06N3/084 ,  G06T7/0004 ,  G06T7/001 ,  G06T7/13 ,  G06T7/80 ,  G06V10/42 ,  H04N7/18 ,  G01N2021/8854 ,  G01N2021/8887 ,  G01N2021/8893 ,  G01N2021/9513 ,  G01N21/958 ,  G01N2201/0221 ,  G06Q10/30 ,  G06T7/0002 ,  G06T2207/10024 ,  G06T2207/20084 ,  G06T2207/30121 ,  G06T2207/30244

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.

公开(公告)号：US20220122243A1

公开(公告)日：2022-04-21

申请号：US17562719

申请日：2021-12-27

Applicant: BLANCCO TECHNOLOGY GROUP IP OY

Inventor： William Fitzgerald ,  Donal O'Shaughnessy ,  Donie Kelly ,  Paul O'Sullivan ,  Liam O'Callaghan ,  James Donovan ,  Shane Hallinan ,  Charlie McGrory ,  Wayne Morgan ,  Uday Chitturi ,  Patrick Conway ,  John Mollaghan ,  Kevin Sutton

IPC: G06T7/00 ,  G01N21/88 ,  G01N21/95 ,  G06T7/80 ,  H04N5/235 ,  H04N5/262 ,  G06N3/08 ,  H04N5/232 ,  H04N7/18 ,  G06N3/04 ,  G06T7/13 ,  G06V10/42

Abstract: There is presented a system and method for detecting mobile device fault conditions, including detecting fault conditions by software operating on the mobile device. In one embodiment, the present invention provides for systems and methods for using a neural network to detect, from an image of the device, that the mobile device has a defect, for instance a cracked or scratched screen. Systems and methods also provide for, reporting the defect status of the device, working or not, so that appropriate action may be taken by a third party.