Methods and systems for estimating an axle load of a vehicle are described. In one example, a method is disclosed wherein axle load is estimated in response to an angle between two components of an axle. The angle may change as weight is added to or removed from the axle such that axle load may be determined as a function of the angle.

Methods and systems for estimating an axle load of a vehicle are described. In one example, a method is disclosed wherein axle load is estimated in response to an angle between two components of an axle. The angle may change as weight is added to or removed from the axle such that axle load may be determined as a function of the angle.

A method, computer program product, and system to perform a sale transaction are provided. The method includes identifying each item of a plurality of items, based on at least one image of the plurality of items, determining a cost for each item, optionally identifying a person based on an image of the person, adding each of the items and each of the costs to a sale transaction, and charging the person for the sale transaction.

A system for generating a shopping checkout list of items selected by a shopper in a store including: in-store security cameras; a cart scanner and a cart analyzer configured to generate a shopping checkout list based on the data received from the cart scanner; and a shopping list builder (SLB) configured to record images from the security cameras of the shopper's activity in the store to form recorded images, wherein, when the SLB requires verification of an item in the generated shopping checkout list, the SLB is further configured to analyze the recorded images to determine selection of an item by a shopper to thereby verify the item on the shopping checkout list.

A system for generating a shopping checkout list of items selected by a shopper in a store including: in-store security cameras; a cart scanner and a cart analyzer configured to generate a shopping checkout list based on the data received from the cart scanner; and a shopping list builder (SLB) configured to record images from the security cameras of the shopper's activity in the store to form recorded images, wherein, when the SLB requires verification of an item in the generated shopping checkout list, the SLB is further configured to analyze the recorded images to determine selection of an item by a shopper to thereby verify the item on the shopping checkout list.

A system, method, and apparatus for automated object recognition and checkout at a retail kiosk is provided. The system includes a controller configured with a processor and a memory to control operations of the automated retail checkout system. The system further includes an imaging device in communication with the controller and configured to create multiple electronic images of an object, such as a product for purchase. The system also includes an object recognition device in communication with the controller and the imaging device. The processor may execute software to receive electronic images from the imaging device, extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images. The system also includes a display device to display an indication of the recognized object from the object recognition device.

A system, method, and apparatus for automated object recognition and checkout at a retail kiosk is provided. The system includes a controller configured with a processor and a memory to control operations of the automated retail checkout system. The system further includes an imaging device in communication with the controller and configured to create multiple electronic images of an object, such as a product for purchase. The system also includes an object recognition device in communication with the controller and the imaging device. The processor may execute software to receive electronic images from the imaging device, extract at least one feature from the images, and recognize the object based on a predetermined model being applied to the extracted feature from the images. The system also includes a display device to display an indication of the recognized object from the object recognition device.

One or more load cells measure the weight of items at a fixture. Weight changes occur as items are picked from or placed to the fixture and may be used to determine when the item was picked or placed, quantity and so forth. Individual weights for a type of item may vary. A set of data comprising weight changes associated with interactions involving a single one of a particular type of item is gathered. These may be weight changes due to picks, places, or both. A model, such as a probability distribution, may be created that relates a particular weight of that type of item to a probability. The model may then be used to process other weight changes and attempt to determine what type of item was involved in an interaction.

One or more load cells measure the weight of items at a fixture. Weight changes occur as items are picked from or placed to the fixture and may be used to determine when the item was picked or placed, quantity and so forth. Individual weights for a type of item may vary. A set of data comprising weight changes associated with interactions involving a single one of a particular type of item is gathered. These may be weight changes due to picks, places, or both. A model, such as a probability distribution, may be created that relates a particular weight of that type of item to a probability. The model may then be used to process other weight changes and attempt to determine what type of item was involved in an interaction.

A meat product fat testing system (MPFTS) for determining the percent fat content of a meat product. The MPFTS includes two embodiments: a fat testing/analyzing unit and a hand-held calculating unit. The fat testing/analyzing unit integrally houses a heating means, meat product weighing means, a fat/moisture analyzer, a microcontroller, and a display. A sample of a meat product is placed into the unit and the unit is activated. The percent fat content of the sample is automatically analyzed and the result shown on the unit's display. The hand-held calculating unit is used with a conventional scale and heat source, which are used to obtain wet and dry weight readings of a meat product sample. The readings are input into the calculating device, which then displays in a window the percent fat content of the sample.