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公开(公告)号:US20230062938A1
公开(公告)日:2023-03-02
申请号:US17820946
申请日:2022-08-19
Applicant: X Development LLC
Inventor: Gearoid Murphy , Alexander Holiday , Diosdado Banatao , Allen Zhao , Shruti Badhwar
Abstract: Methods and systems for using multiple hyperspectral cameras sensitive to different wavelengths to predict characteristics of objects for further processing, including recycling, are described. The multiple hyperspectral images can be used to predict higher resolution spectra by using a trained machine learning model. The higher resolution spectra may be more easily analyzed to sort plastics into a recyclability category. The hyperspectral images may also be used to identify and analyze dark or black plastics, which are challenging for SWIR, MWIR, and other wavelengths. The machine learning model may also predict the base polymers and contaminants of plastic objects for recycling. The hyperspectral images may be used to predict recyclability and other characteristics using a trained machine learning model.
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2.
公开(公告)号:US20240170105A1
公开(公告)日:2024-05-23
申请号:US18516735
申请日:2023-11-21
Applicant: X Development LLC
Inventor: Aleksandra Spyra , Diosdado Banatao , Clare Lee , Allen Zhao , Gearoid Murphy , Daniel Rosenfeld , Alexander Holiday
Abstract: An intermediate data set can be generated based on an image of a set of objects, where each of the set of objects includes a plastic. A predicted chemometric property can be generated by inputting the intermediate data set to a machine-learning model. The chemometric property can be of a physical output pyrolysis oil produced by performing a pyrolysis processing of the set of objects using a pyrolysis reactor. A result associated with the set of objects can be generated, where the result is based on or includes the predicted chemometric property.
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