Abstract: The disclosure includes a fixed retail scanner including a data reader, comprising a main board including one or more processors including a system processor, one or more camera modules, and an artificial intelligence (AI). The system processor is configured to transmit image data received from the one or more camera modules responsive to one or more event triggers detected by the system processor, and wherein the AI accelerator is configured to perform analysis based on an AI engine local to the AI accelerator in response to the event trigger. A remote server may also be operably coupled to the fixed retail scanner through the multi-port network switch, the remote server having a remote AI engine stored therein, wherein the local AI engine within the fixed retail scanner is a simplified AI model relative to the remote AI engine within the remote server.

Abstract: The disclosure includes a fixed retail scanner including a data reader, comprising a main board including one or more processors including a system processor, one or more camera modules, and an artificial intelligence (AI). The system processor is configured to transmit image data received from the one or more camera modules responsive to one or more event triggers detected by the system processor, and wherein the AI accelerator is configured to perform analysis based on an AI engine local to the AI accelerator in response to the event trigger. A remote server may also be operably coupled to the fixed retail scanner through the multi-port network switch, the remote server having a remote AI engine stored therein, wherein the local AI engine within the fixed retail scanner is a simplified AI model relative to the remote AI engine within the remote server.

Abstract: The disclosure includes a fixed retail scanner and related method for converting embedded register statistical data from one or more images into pixel data that is combined with image pixel data that is sent to the system processor for a fixed retail scanner. Such statistical data may include histogram data, image statistics, and other related information.

Abstract: The disclosure includes a fixed retail scanner including a data reader, comprising a main board including one or more processors including a system processor, one or more camera modules, and an artificial intelligence (AI). The system processor is configured to transmit image data received from the one or more camera modules responsive to one or more event triggers detected by the system processor, and wherein the AI accelerator is configured to perform analysis based on an AI engine local to the AI accelerator in response to the event trigger. A remote server may also be operably coupled to the fixed retail scanner through the multi-port network switch, the remote server having a remote AI engine stored therein, wherein the local AI engine within the fixed retail scanner is a simplified AI model relative to the remote AI engine within the remote server.

Abstract: Systems and methods are provided for detecting anomalies, for instance, user-caused scanning anomalies, which occur during scanning transactions. Scanning-related events may be detected by a scanning device and notifications of such events may be transmitted from the scanning device to a point-of-sale (POS) host device coupled therewith. In aspects, the notifications transmitted to the POS host device include a unique code (e.g., a barcode or label) that is indicative of the corresponding event. Responsive to receipt of the event notifications and the nature thereof, the POS host device may initiate one or more anomaly detection actions.

Abstract: Systems and methods are provided for detecting anomalies, for instance, user-caused scanning anomalies, which occur during scanning transactions. Scanning-related events may be detected by a scanning device and notifications of such events may be transmitted from the scanning device to a point-of-sale (POS) host device coupled therewith. In aspects, the notifications transmitted to the POS host device include a unique code (e.g., a barcode or label) that is indicative of the corresponding event. Responsive to receipt of the event notifications and the nature thereof, the POS host device may initiate one or more anomaly detection actions.

Abstract: An ultra low permeability fluid member for conveying a fluid (e.g., a hose, tube, etc.) having a metal vapor barrier layer (22) formed around an inner tube (14). The metal vapor layer (22) is formed from one or more metal strips (40a, 40b) having edge portions (44) that are bonded so as to seal the vapor barrier layer (22) preventing permeation of vapor.

Abstract: An ultra low permeability fluid member for conveying a fluid (e.g., a hose, tube, etc.) having a metal vapor barrier layer (22) formed around an inner tube (14). The metal vapor layer (22) is formed from one or more metal strips (40a, 40b) having edge portions (44) that are bonded so as to seal the vapor barrier layer (22) preventing permeation of vapor.

Abstract: Methods of operation of a data reader and security tag deactivation system whereby a data reader such as a barcode scanner is equipped with EAS deactivation coils or modules disposed in the vicinity of the read volume or generally proximate thereto and the system is operable to permit reading of the ID tag (such as the barcode label) on an item, and upon a successful read, the deactivation unit is operable to (1) sense the presence of an EAS tag; (2) if presence of an EAS tag is sensed, energize the deactivation coil/module to deactivate the EAS tag; and (3) sense if the EAS tag is deactivated. If the EAS tag is sensed to have been deactivated, the system signals as such and a next item may be scanned. If the EAS tag is sensed to have not been deactivated, the system proceeds to alternate operational steps to handle the exception.

Abstract: A scanner system and method for improving capture rate of reading labels with add-ons without sacrificing throughput with respect to non-add-on labels, the scanner including a mode in which the scanner in conjunction with the host (point-of-sale terminal) “learns” over time which base label codes will have associated add-ons. As the scanner successfully reads both a base label and its add-on data, the base label data is stored in a list in the scanner's memory. The required number of reads of base label or the timeout timer value may be adjusted based upon whether add-ons are expected or not corresponding to future scans of a base label corresponding to that of one in the list store. Base label statistics on successful base label and associated add-on reads, as well as ordering and selective storage of base label information based on frequency of base label occurrence may also be provided.

Abstract: Methods of operation of a data reader and security tag deactivation system whereby a data reader such as a barcode scanner is equipped with EAS deactivation coils or modules disposed in the vicinity of the read volume or generally proximate thereto and the system is operable to permit reading of the ID tag (such as the barcode label) on an item, and upon a successful read, the deactivation unit is operable to (1) sense the presence of an EAS tag; (2) if presence of an EAS tag is sensed, energize the deactivation coil/module to deactivate the EAS tag; and (3) sense if the EAS tag is deactivated. If the EAS tag is sensed to have been deactivated, the system signals as such and a next item may be scanned. If the EAS tag is sensed to have not been deactivated, the system proceeds to alternate operational steps to handle the exception.