Disclosed are visual recognition and sensor fusion weight detection system and method. An example method includes: tracking, by a sensor system, objects and motions within a selected area of a store; activating, by the sensor system, a first computing device positioned in the selected area in response to detecting a presence of a customer within the selected area; identifying, by the sensor system, the customer and at least one item carried by the customer; transmitting, by the sensor system, identifying information of the customer and the at least one item to a computing server system via a communication network; measuring, by the first computing device, a weight of the at least one item; transmitting, by the first computing device, the weight to the computing server system via the communication network; and generating, by the computing server system, via the communication network, transaction information of the at least one item.

A weighing scale (1) for a retail store counter includes a housing (2), a load-receiving platform (3) on top of the housing, and operating components (27) enclosed therein, including a weighing cell (24). A load-transmitting mechanical connection (25) couples the weighing cell to the load-receiving platform. Analog and digital weighing electronics convert electrical weight signals of the weighing cell into digital weighing results. A touchscreen display panel (7, 22, 23) interacts with a human operator, and is configured as a layered assembly with a liquid crystal display (23), a projected capacitive (PCAP) touch screen (22) with a plurality of touch-sensing points, and a protective glass plate (21) on top of each other. The layered assembly is integrated horizontally in the load-receiving platform facing the human operator. The top surface operates as a load-receiving surface (45) a touch field keyboard (40, 41, 42, 47) and a display window (43, 46, 48).

A weighing scale (1) for a retail store counter includes a housing (2), a load-receiving platform (3) on top of the housing, and operating components (27) enclosed therein, including a weighing cell (24). A load-transmitting mechanical connection (25) couples the weighing cell to the load-receiving platform. Analog and digital weighing electronics convert electrical weight signals of the weighing cell into digital weighing results. A touchscreen display panel (7, 22, 23) interacts with a human operator, and is configured as a layered assembly with a liquid crystal display (23), a projected capacitive (PCAP) touch screen (22) with a plurality of touch-sensing points, and a protective glass plate (21) on top of each other. The layered assembly is integrated horizontally in the load-receiving platform facing the human operator. The top surface operates as a load-receiving surface (45) a touch field keyboard (40, 41, 42, 47) and a display window (43, 46, 48).

Various implementations described herein are directed to a non-transitory computer readable medium having stored thereon computer-executable instructions which, when executed by a computer, may cause the computer to receive a location, a date, a wind direction, a water temperature, a species, or combinations thereof. The computer may use the location, date, wind direction, water temperature, species, or combinations thereof to retrieve fishing data. The computer may analyze the retrieved fishing data to determine one or more suggested fishing locations.

The system and method described herein enable generating digital product labels for products that are valued by weight. Product identification data of a product is received via at least one of a user interface and a network interface. Value per weight data of the product is obtained from a product data store via the network interface. A weight value is determined from at least one scale device via the network interface and a product value is calculated based on the obtained value per weight data and the determined weight value. A digital product label is generated, including at least a portion of the product identification data and product value. The disclosure provides systems and methods that use multiple modular devices, such as the scale devices, printers, and product attribute collector devices, that provide flexibility in organizing the system and reduced cost in initial setup and replacement of devices in the system.

The system and method described herein enable generating digital product labels for products that are valued by weight. Product identification data of a product is received via at least one of a user interface and a network interface. Value per weight data of the product is obtained from a product data store via the network interface. A weight value is determined from at least one scale device via the network interface and a product value is calculated based on the obtained value per weight data and the determined weight value. A digital product label is generated, including at least a portion of the product identification data and product value. The disclosure provides systems and methods that use multiple modular devices, such as the scale devices, printers, and product attribute collector devices, that provide flexibility in organizing the system and reduced cost in initial setup and replacement of devices in the system.

Provided herein are devices, systems, and methods for measuring waste material weight within two or more waste collection bins The bins can be measured using one or more waste measurement devices, and the measurements can be collected and transmitted to networked data storage. Waste measurement data can be collected over time from multiple bin locations, and the stored data can be analyzed and processed to generate reports and ratings of waste collection, disposal, and diversion trends over time. Also provided are waste audit methods and platforms that simplify and streamline data measurement, recording, and analyzing. The audit methods can transfer data electronically to a computer or cloud platform, automatically plot and compare results, and generate reports to be shared with a user or client.

Provided herein are devices, systems, and methods for measuring waste material weight within two or more waste collection bins The bins can be measured using one or more waste measurement devices, and the measurements can be collected and transmitted to networked data storage. Waste measurement data can be collected over time from multiple bin locations, and the stored data can be analyzed and processed to generate reports and ratings of waste collection, disposal, and diversion trends over time. Also provided are waste audit methods and platforms that simplify and streamline data measurement, recording, and analyzing. The audit methods can transfer data electronically to a computer or cloud platform, automatically plot and compare results, and generate reports to be shared with a user or client.

A barcode reader has a housing, a weigh platter, and an off-platter detection assembly including an imaging assembly in communication with a controller. The imaging assembly has an imager configured to capture an image of first and second lateral edges of the weigh platter and having a field-of-view extending over an upper surface of the weigh platter. The controller is configured to: identify and locate the first and second lateral edges based upon a training image; receive the image from the imager; allow the measured weight to be recorded if determined that a footprint of an object positioned on the weigh platter does not extend over the first and second lateral edges based on the image; and prevent the measured weight from being recorded and/or providing and alert to a user if determined that the footprint of the object does extend over the first and/or second lateral edges.

A barcode reader has a housing, a weigh platter, and an off-platter detection assembly including an imaging assembly in communication with a controller. The imaging assembly has an imager configured to capture an image of first and second lateral edges of the weigh platter and having a field-of-view extending over an upper surface of the weigh platter. The controller is configured to: identify and locate the first and second lateral edges based upon a training image; receive the image from the imager; allow the measured weight to be recorded if determined that a footprint of an object positioned on the weigh platter does not extend over the first and second lateral edges based on the image; and prevent the measured weight from being recorded and/or providing and alert to a user if determined that the footprint of the object does extend over the first and/or second lateral edges.