A video monitoring system includes a camera head, which includes an infrared illumination source and an image sensor and is configured to transmit streaming video signals generated by the image sensor. A mount is configured to hold the camera head in a fixed location and orientation above a bed such that the image sensor captures images from a bird's eye view of a child in the bed. A processor is configured to receive and analyze the video signals so as to extract and provide information to a client device with regard to a behavior of the child.

A video monitoring system includes a camera head, which includes an infrared illumination source and an image sensor and is configured to transmit streaming video signals generated by the image sensor. A mount is configured to hold the camera head in a fixed location and orientation above a bed such that the image sensor captures images from a bird's eye view of a child in the bed. A processor is configured to receive and analyze the video signals so as to extract and provide information to a client device with regard to a behavior of the child.

A vehicle headlamp control circuit may be configured to control a vehicle headlamp comprising a plurality of lighting elements. The vehicle headlamp control circuit may comprise a first communication interface configured to receive a first signal comprising a first set of values for driving the plurality of lighting elements, and a second communication interface configured to receive a second signal comprising an intensity threshold. The circuit may be configured to determine a composite intensity associated with the first set of values and drive the plurality of lighting elements using the first set of values if the composite intensity associated with the first set of values satisfies the intensity threshold.

A method for using infrared data analysis and image analysis for robust action recognition in a retail environment may include receiving infrared data captured using one or more infrared sensors from a retail environment; receiving at least one image captured using at least one image sensor from the retail environment; analyzing the infrared data and the at least one image to detect an action performed in the retail environment; and providing information based on the detected action.

A method for triggering image processing based on infrared data analysis may include receiving first infrared input data captured using a first group of infrared sensors; analyzing the first infrared input data to detect an engagement of a person with a retail shelf; receiving second infrared input data captured using a second group of infrared sensors after the capturing of the first infrared input data; analyzing the second infrared input data to determine a completion of the engagement of the person with the retail shelf; in response to the determined completion of the engagement of the person with the retail shelf, analyzing an image of the retail shelf captured using an image sensor after the completion of the engagement of the person with the retail shelf; and using the analysis of the image to determine a state of the retail shelf.

A method for triggering image processing based on infrared data analysis may include receiving first infrared input data captured using a first group of infrared sensors; analyzing the first infrared input data to detect an engagement of a person with a retail shelf; receiving second infrared input data captured using a second group of infrared sensors after the capturing of the first infrared input data; analyzing the second infrared input data to determine a completion of the engagement of the person with the retail shelf; in response to the determined completion of the engagement of the person with the retail shelf, analyzing an image of the retail shelf captured using an image sensor after the completion of the engagement of the person with the retail shelf; and using the analysis of the image to determine a state of the retail shelf.

A method for triggering image processing based on vibration data analysis may include receiving vibration data captured using a vibration sensor mounted to a shelving unit including; analyzing the vibration data to determine whether a vibration is a result of an engagement of a person with a retail shelf; in response to a determination that the vibration is the result of the engagement of the person with the retail shelf, triggering analysis of an image of captured after the beginning of the engagement of the person with the retail shelf; in response to a determination that the vibration is not the result of the engagement of the person with the retail shelf, forgoing triggering the analysis of the image; and providing information based on a result of the analysis of the image.

A method for triggering image processing based on vibration data analysis may include receiving vibration data captured using a vibration sensor mounted to a shelving unit including; analyzing the vibration data to determine whether a vibration is a result of an engagement of a person with a retail shelf; in response to a determination that the vibration is the result of the engagement of the person with the retail shelf, triggering analysis of an image of captured after the beginning of the engagement of the person with the retail shelf; in response to a determination that the vibration is not the result of the engagement of the person with the retail shelf, forgoing triggering the analysis of the image; and providing information based on a result of the analysis of the image.

A method for using vibration data analysis and image analysis for robust action recognition in a retail environment may include receiving vibration data captured using1 one or more vibration sensors mounted to a shelving unit including at least one retail shelf; receiving at least one image captured using at least one image sensor from a retail environment including the shelving unit; analyzing the vibration data and the at least one image to detect an action performed in the retail environment; and providing information based on the detected action.

A method for authenticating an object, comprising determining a physical dispersion pattern of a set of elements, determining a physical characteristic of the set of elements which is distinct from a physical characteristic producible by a transfer printing technology, determining a digital code associated with the object defining the physical dispersion pattern, and authenticating the object by verifying a correspondence of the digital code with the physical dispersion pattern, and verifying the physical characteristic.