Abstract: A customer behavioural system (100) in a store (10), the customer behavioural system (100) comprising a sensor arrangement (110) comprising one or more sensors (114a-c) and a behavioural analysis module (120). The behavioural analysis module (120) is configured to determine at least one behavioural feature (160) of a customer (20) based on sensor data from said one or more sensors (114a-c) and/or determine at least one motion event (160) of a customer (20) based on sensor data from said one or more sensors (114a-c), and determine behavioural information (122) for said customer (20) based at least on one determined behavioural feature (140) and/or at least one determined motion event (160).

Abstract: A method for registration of an article in a store having at least one article containing area (A-I) and an automatic in-store registration system (100) is provided.

Abstract: A classification device (2) for identification of articles (3) in an automated checkout counter is presented. The device comprises a memory unit (5) capable of storing digital reference signatures, each of which digital reference signatures corresponds to an article identity, a processor (6) connected to the memory unit (5), and at least one sensor (4, 7, 14, 15, 16, 17, 18, 24) configured to determine a measured signature of an article (3) wherein said processor (6) is configured to compare said measured signature with the digital reference signatures, and to calculate a matching probability of a predetermined number of article identities.

Abstract: A classification device (2) for identification of articles (3) in an automated checkout counter is provided. The device comprises a memory unit (5) capable of storing digital reference signatures, each of which digital reference signatures corresponds to an article identity, and a processor (6) connected to the memory unit (5), wherein the classification device (2) further comprises a spectroscopy sensor (7, 24) connected to the processor (6), wherein the spectroscopy sensor (7, 24) is arranged to determine a measured signature of an article (3) when the article (3) is placed before, on or after a weight sensor (4), and wherein the processor (6) is arranged to compare the measured signature with the digital reference signature in order to identify the article (3) as an existing article identity in the memory unit (5).

Abstract: A classification device (2) for identification of articles (3) in an automated checkout counter is presented. The device comprises a memory unit (5) capable of storing digital reference signatures, each of which digital reference signatures corresponds to an article identity, a processor (6) connected to the memory unit (5), and at least one sensor (4, 7, 14, 15, 16, 17, 18, 24) configured to determine a measured signature of an article (3) wherein said processor (6) is configured to compare said measured signature with the digital reference signatures, and to calculate a matching probability of a predetermined number of article identities.

Abstract: A classification device (2) for identification of articles (3) in an automated checkout counter is provided. The device comprises a memory unit (5) capable of storing digital reference signatures, each of which digital reference signatures corresponds to an article identity, and a processor (6) connected to the memory unit (5), wherein the classification device (2) further comprises a spectroscopy sensor (7, 24) connected to the processor (6), wherein the spectroscopy sensor (7, 24) is arranged to determine a measured signature of an article (3) when the article (3) is placed before, on or after a weight sensor (4), and wherein the processor (6) is arranged to compare the measured signature with the digital reference signature in order to identify the article (3) as an existing article identity in the memory unit (5).