A system includes a signal generator that is configured to generate a first electrical signal. The system also includes a light source configured to generate a light beam based on the first electrical signal. The light source is also configured to direct the light beam towards a structural member of an aircraft. The system also includes a photoelectric sensor configured to receive a reflected light beam and convert the reflected light beam to a second electrical signal. The reflected light beam corresponds to a portion of the light beam that is reflected from one or more optical reflectors coupled to the structural member. The system also includes circuitry configured to estimate a location of a center-of-gravity of the aircraft based on a timing difference between the first electrical signal and the second electrical signal.

Techniques are disclosed for verifying one or more physical metrics to verify self-checkout procedures. When checking out, a user may scan a barcode for each product and submit an image of the bag that should contain the scanned products. The image is then analyzed to calculate various dimensions that are indicative of a cumulative weight and/or volume of the scanned products. By performing such measurements, an expected range of weights and/or volumes may be calculated and associated with the bag including each of the scanned products. The scanned product barcode data may also be used to lookup information such as weight and volume of each product, and to calculate a total weight and/or volume for all scanned products. These calculated totals may be compared to the expected range of values to verify that all scanned products have been bagged, and thus authenticate the self-checkout process.

Techniques are disclosed for verifying one or more physical metrics to verify self-checkout procedures. When checking out, a user may scan a barcode for each product and submit an image of the bag that should contain the scanned products. The image is then analyzed to calculate various dimensions that are indicative of a cumulative weight and/or volume of the scanned products. By performing such measurements, an expected range of weights and/or volumes may be calculated and associated with the bag including each of the scanned products. The scanned product barcode data may also be used to lookup information such as weight and volume of each product, and to calculate a total weight and/or volume for all scanned products. These calculated totals may be compared to the expected range of values to verify that all scanned products have been bagged, and thus authenticate the self-checkout process.

While smart shopping carts can improve shopping experiences, they are expensive. Accordingly, an intelligent electronic shopping system is disclosed that enables any standard shopping cart to be converted into a smart shopping cart. Disclosed embodiments facilitate the fulfillment of multiple orders at once by personal shopper/delivery driver (PSDD) workers by providing, for example, order segregation, specific navigational instructions for a shopping trip, intelligent weighing systems, and/or easy checkout that avoids checkout lines.

While smart shopping carts can improve shopping experiences, they are expensive. Accordingly, an intelligent electronic shopping system is disclosed that enables any standard shopping cart to be converted into a smart shopping cart. Disclosed embodiments facilitate the fulfillment of multiple orders at once by personal shopper/delivery driver (PSDD) workers by providing, for example, order segregation, specific navigational instructions for a shopping trip, intelligent weighing systems, and/or easy checkout that avoids checkout lines.

The present invention relates to the technical field of systems for measurement of weight load and other physical variables in vehicles and/or containers, comprising a system of sensing and monitoring of their conditions, instantaneous or not. Consists of an external data collection subsystem (SSI) with module with sensing network (1), signal transduction module (2) and connection module (3); of a data processing and reading subsystem (SSII) with energizing module (4); reading and data acquisition module (5); processing and memory module (6); and data transmission subsystem (SSIII) with data communication module (7). The system has advantages, does not present false sensor measurements, that allow wide multiplexing, no electricity, high signal and there is no electromagnetic interference, they are robust, do not suffer corrosion and do not fail due to vibration and mechanical impacts.

An apparatus for warningly indicating a current load weight of a vehicle is presented. The load warning apparatus includes a pressure sensor associated with a pressure line of a vehicle for producing a plurality of pressure signals representative of a corresponding plurality of amounts of load weights. A load weight indicator activity is based on the pressure for indicating current load level of a vehicle. Lamps are lit to give visual indication of the status of the load level of the vehicle.

An apparatus for warningly indicating a current load weight of a vehicle is presented. The load warning apparatus includes a pressure sensor associated with a pressure line of a vehicle for producing a plurality of pressure signals representative of a corresponding plurality of amounts of load weights. A load weight indicator activity is based on the pressure for indicating current load level of a vehicle. Lamps are lit to give visual indication of the status of the load level of the vehicle.

Embodiments herein provide systems and methods tracking the weight of an individual situated on a furnishing such as a chair or bed. One method generally includes receiving weight data at a weight sensor that is situated to recognize a change in weight on the furnishing, confirming that a fitness device is proximately located to the weight sensor, and transmitting the received weight data to a hosted service.

Embodiments herein provide systems and methods tracking the weight of an individual situated on a furnishing such as a chair or bed. One method generally includes receiving weight data at a weight sensor that is situated to recognize a change in weight on the furnishing, confirming that a fitness device is proximately located to the weight sensor, and transmitting the received weight data to a hosted service.