Systems and methods disclosed for use in identifying and duplicating objects, particularly access devices such as house keys, office keys, automobile keys, and RFID key fobs. Within a singular housing, the customizable systems may include any or all of a key identification system, a key duplication system, an automobile key identification system, and/or an RFID key fob duplication system. Unique capabilities of the systems include the ability to verify that an existing automobile key matches data input by the user pertaining to the associated automobile. Further, the systems reduce frustration, error, and waste by programming a duplicate blank RFID key fob in a fully automated manner within the housing of the machine. To facilitate this process, blank RFID key fobs may be stored inside of the housing within RFID key fob containers that are readily stacked and dispensed.

A meter monitoring system (200) includes: a wireless gateway (202), a monitoring device (201), and at least one meter recognition apparatus (100). The meter recognition apparatus (100) includes: an image acquirer (1), a processor (2), and a wireless transceiver (3). The image acquirer (1) is configured to acquire images of a display side of a monitoring meter (4) at set time intervals. The processor (2) is coupled to the image acquirer (1) and configured to determine, according to an image of the images acquired by the image acquirer (1) and based on an image processing algorithm, monitoring data displayed by the monitoring meter (4). The wireless transceiver (3) is coupled to the processor (2) and configured to send the monitoring data determined by the processor (2) to the wireless gateway (202). The wireless gateway (202) is configured to transmit the received monitoring data to the monitoring device (201).

A visual sensor having a light sensitive element and a processor, the processor being adapted to recognize whether a cap is on or off the light sensitive element by recognizing a unique identification pattern coded into the light sensitive element.

A computing system including a processing circuit in communication with a camera having a field of view. The processing circuit is configured to perform operations related to detecting, identifying, and retrieving objects disposed amongst a plurality of objects. The processing circuit may be configured to perform operations related to object recognition template generation, feature generation, hypothesis generation, hypothesis refinement, and hypothesis validation.

The disclosure relates to systems, methods and computer readable media for providing network-based identification, generation and management of a unique damage (finger) print of vehicle(s) by geodetic mapping of stable key points onto a ground truth 3D model of the vehicle, and vehicle parts—identified from the raw images using supervised and unsupervised machine learning. Specifically, the disclosure relates to System and methods for the generation of unique damage print on a vehicle that is obtained from captured images of the damaged vehicle, photogrammetrically localized to a specific vehicle part, and the computer programs enabling the method, the damage print configured to be used, for example, in fraud detection in insurance claims.

The disclosure relates to systems, methods and computer readable media for providing network-based identification, generation and management of a unique damage (finger) print of vehicle(s) by geodetic mapping of stable key points onto a ground truth 3D model of the vehicle, and vehicle parts—identified from the raw images using supervised and unsupervised machine learning. Specifically, the disclosure relates to System and methods for the generation of unique damage print on a vehicle that is obtained from captured images of the damaged vehicle, photogrammetrically localized to a specific vehicle part, and the computer programs enabling the method, the damage print configured to be used, for example, in fraud detection in insurance claims.

Computer and mobile device-based systems and computer-implemented methods are described for automated medication adherence improvement for patients in medication-assisted treatments. The computer and mobile device-based systems includes modules and components to help patients in identifying prescribed medications, logging medication events, and to provide patients with personalized and targeted adherence enhancing interventions consisting of short questions, tips, advices, suggestions, strategies etc. by applying data mining and statistical analysis techniques on the individual and population-level data collected primarily from the same system.

A beverage dispenser includes a nozzle to dispense a beverage. The beverage dispenser further includes a camera to capture an image of the beverage as the beverage is dispensed from the nozzle. The camera has a field of view that includes the beverage. The beverage dispenser further includes a light source that illuminates the field of view of the camera. The beverage dispenser further includes a computer. The computer analyzes the image of the beverage and determines a characteristic of the beverage.

Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.