H04N23/23

DESIGN, TEST, AND OPERATION OF A SMALL THERMAL IMAGING CORE

An ultra-small thermal imaging core, or micro-core. The design of the micro-core may include substrates for mounting optics and electronic connectors that are thermally matched to the imaging Focal Plane Array (FPA). Test fixtures for test and adjustment that allow for operation and image acquisition of multiple cores may also be provided. Tooling may be included to position the optics to set the core focus, either by moving the lens and lens holder as one or by pushing and/or pulling the lens against a lens positioning element within the lens holder, while observing a scene. Test procedures and fixtures that allow for full temperature calibration of each individual core, as well as providing data useful for uniformity correction during operation may also be included as part of the test and manufacture of the core.

ATMOSPHERIC ABSORPTION DETERMINATION USING EMBEDDED SENSOR DATA
20240240989 · 2024-07-18 ·

Techniques for atmospheric absorption determination using embedded sensor data are provided. In one example, a system includes a housing. The system further includes a sensing device within the housing. The sensing device is configured to determine a humidity within the housing and a temperature within the housing. The system further includes a logic device. The logic device is configured to compensate the humidity and the temperature based on a location of the sensing device within the housing relative to heat sources within the housing. The logic device is further configured to determine a moisture value based on compensation of the humidity and the temperature. The logic device is further configured to determine an atmospheric absorption value based on the moisture value. Related devices and methods are also provided.

ATMOSPHERIC ABSORPTION DETERMINATION USING EMBEDDED SENSOR DATA
20240240989 · 2024-07-18 ·

Techniques for atmospheric absorption determination using embedded sensor data are provided. In one example, a system includes a housing. The system further includes a sensing device within the housing. The sensing device is configured to determine a humidity within the housing and a temperature within the housing. The system further includes a logic device. The logic device is configured to compensate the humidity and the temperature based on a location of the sensing device within the housing relative to heat sources within the housing. The logic device is further configured to determine a moisture value based on compensation of the humidity and the temperature. The logic device is further configured to determine an atmospheric absorption value based on the moisture value. Related devices and methods are also provided.

Sanitization Analysis and Training Devices, Systems, and Methods
20240242343 · 2024-07-18 · ·

Systems, devices, methods, and software for sanitization monitoring of hands, other body parts, and objects and training users on sanitization methods. The systems and devices including a detector to provide images of the object within its detection range, and at least one processor to receive the images from the detector, determine areas of the image corresponding to sanitized areas of the object from unsanitized areas of the object, calculate a percentage of sanitized areas to the total area corresponding to the sanitized and unsanitized areas, and report at least the percentage of sanitized area and/or compare a user's sanitization techniques to approved sanitization techniques and provide guidance to user. In various embodiments, users sanitize their hands with fluorescing hand sanitizer and/or a fluorescing germ-proxy agent with soap and water and the sanitized and unsanitized areas are determined based on the amount of fluorescing material remaining on the hands after application.

Sanitization Analysis and Training Devices, Systems, and Methods
20240242343 · 2024-07-18 · ·

Systems, devices, methods, and software for sanitization monitoring of hands, other body parts, and objects and training users on sanitization methods. The systems and devices including a detector to provide images of the object within its detection range, and at least one processor to receive the images from the detector, determine areas of the image corresponding to sanitized areas of the object from unsanitized areas of the object, calculate a percentage of sanitized areas to the total area corresponding to the sanitized and unsanitized areas, and report at least the percentage of sanitized area and/or compare a user's sanitization techniques to approved sanitization techniques and provide guidance to user. In various embodiments, users sanitize their hands with fluorescing hand sanitizer and/or a fluorescing germ-proxy agent with soap and water and the sanitized and unsanitized areas are determined based on the amount of fluorescing material remaining on the hands after application.

MONITORING SYSTEM OF TRACKING AND RECOGNIZING BASED ON THERMAL IMAGES AND MONITORING METHOD THEREOF
20240242584 · 2024-07-18 ·

A monitoring method of tracking and recognizing based on thermal images is executed by a monitoring system. The monitoring system includes a monitoring host and a monitoring server. The monitoring host is installed in a ward room, a bathroom, a workplace, or an operation place that needs monitoring. The monitoring host utilizes an infrared camera to capture thermal image frames of care recipients, and utilizes a trained AI human detection model to analyze the thermal image frames for recognizing a motion of a human in the thermal image frames. When the motion matches a condition for generating a warning signal, the monitoring host generates and transmits the warning signal to the monitoring server. Therefore, a care provider can determine whether the care recipients have unexpected behaviors, such as falling from a bed, falling, or staying still for a long time, and can deal with it immediately.

MONITORING SYSTEM OF TRACKING AND RECOGNIZING BASED ON THERMAL IMAGES AND MONITORING METHOD THEREOF
20240242584 · 2024-07-18 ·

A monitoring method of tracking and recognizing based on thermal images is executed by a monitoring system. The monitoring system includes a monitoring host and a monitoring server. The monitoring host is installed in a ward room, a bathroom, a workplace, or an operation place that needs monitoring. The monitoring host utilizes an infrared camera to capture thermal image frames of care recipients, and utilizes a trained AI human detection model to analyze the thermal image frames for recognizing a motion of a human in the thermal image frames. When the motion matches a condition for generating a warning signal, the monitoring host generates and transmits the warning signal to the monitoring server. Therefore, a care provider can determine whether the care recipients have unexpected behaviors, such as falling from a bed, falling, or staying still for a long time, and can deal with it immediately.

Method and system for activity detection with obfuscation

A camera system includes a camera configured to capture first video of a scene in the form of first image frames. The camera system also includes an infrared sensor configured to capture second video of the scene in the form of second image frames. The system also includes a processor in communication with the camera and the infrared sensor. The processor is configured to obfuscate one or more portions of the scene.

Passive infrared sensing and detection for traffic

The present disclosure relates to systems and methods for passive infrared sensing and detection of vehicular traffic. Vehicle parameters are detected using thermal detection states of pixels of an infrared array sensor. The vehicle parameters can include a velocity of a vehicle. A vehicle record that includes the vehicle parameters can be provided, for example, by a computing device in connection with the infrared array sensor.

METHODS AND APPARATUS TO DETERMINE AN AUDIENCE COMPOSITION BASED ON THERMAL IMAGING AND FACIAL RECOGNITION
20240236415 · 2024-07-11 ·

Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, an audience image detector to identify a face of an audience member based on a frame of audience image data captured in the media environment, the frame of audience image data corresponding to a field of view associated with at least one heat blob included in the heat blob count, and a people meter controller to cause a people meter, which is to emit a prompt for audience identification information, not to emit the prompt for at least a first time period after the audience member is identified.