BOPI 04 BR/2023 REPERTOIRE NUMERIQUE 36 Consulter le mémoire ________________________________________ (11) 20918 (51) H01G 9/20 (2018.01) (21) 1202200421 - PCT/EP2021/056888 (22) 17/03/2021 (30) EP n° 20170140.6 du 17/04/2020 (54) A photovoltaic device. (72) LINDSTRÖM, Henrik (SE) et FILI, Giovanni (SE) (73) EXEGER OPERATIONS AB, Box 55597, SE-102 04 STOCKHOLM (SE) (74) S.C.P AKKUM, AKKUM & Associates, No. 1777, rue 6.261, Yaoundé, Auditorium Jean Paul II, Quartier Mbankolo, B.P. 4966, YAOUNDE (CM). (57) The present invention relates to a photovoltaic device (la) comprising a solar cell unit (2a) including a working electrode comprising a lightabsorbing layer (3); a counter electrode including a porous conductive layer (6), and a conducting medium for transferring charges between the counter electrode and the working electrode, and a conductor (7) electrically connected to the porous conductive layer (6). The solar cell unit (2a) comprises at least one adhering layer (8) arranged between the conductor (7) and the porous conductive layer (6) for attaching the conductor to the porous conductive layer. The adhering layer (8) comprises an adhesive and conducting particles distributed in the adhesive so that a conducting network is formed in the adhesive. Fig. 4 and Fig. 5 Consulter le mémoire ________________________________________ (11) 20919 (51) G06K 9/00 (2018.01) (21) 1202200422 - PCT/CN2020/116685 (22) 22/09/2020 (30) EP n° 202010414638.5 du 15/04/2020 (54) Finger vein machine learning recognition method and device based on terrain concavity-convexity features. (72) ZHANG Xuan (CN); ZHAO Guodong (CN); XIN Chuanxian (CN) et LI Xueshuang (CN) (73) TOP GLORY TECHNOLOGY INCORPORATED CO., LTD., Room 0906, 9th Floor, Block C, Qingkong Innovation Base, No. 529, Nanzhonghuan Street, Taiyuan Xue Fu Park, Shanxi Comprehensive Reform Demonstration Zone, TAIYUAN, Shanxi 030012 (CN) (74) Cabinet NICO HALLE & CO. LAW FIRM, 1st Floor SHALOM Building, Ancienne Route, Opposite Pharmacie du Pont/Express Union, B.P. 4876, DOUALA (CM). (57) Disclosed are a finger vein machine learning recognition method and device based on terrain concavity-convexity features. The finger vein machine learning recognition method based on terrain concavity-convexity features comprises: performing size normalization on register finger vein images and verification finger vein images; performing image enhancement on the register finger vein images and the verification finger vein images; acquiring terrain concavity-convexity features from the register finger vein images and
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