Discussed a welding inspection apparatus including a base unit configured to dispose thereon a battery module, as an object to be inspected, a positive electrode connector and a negative electrode connector connected so as to charge and discharge the battery module, a thermal imaging camera configured to photograph a weld portion of the battery module, and a driving unit configured to move the thermal imaging camera, wherein it is possible to determine whether the weld portion is defective using a nondestructive inspection method.

A pose tracking system for continuously determining a pose of a digital video camera while filming a scene at a set of a film or TV production, wherein the system comprises a pose tracking device that comprises 2D cameras configured to provide 2D image data of an environment and at least one time-of-flight camera comprising a sensor array and one or more laser emitters, wherein the pose tracking device is attached to or configured to be attached to the digital video camera so that the ToF camera is oriented to capture 3D point-cloud data of the scene filmed by the digital video camera, wherein the pose tracking device comprises a localization unit.

The present invention relates, in various embodiments, to prediction of human subject states (e.g. physiological and/or psychological and/or neurological state) via a hybrid approach, which includes elements of AI-based classification and objective physiological analysis (such as blepharometric analysis). Embodiments are described by reference to applications in driver alertness monitoring. However, it will be appreciated that the technology is not limited as such, and has application in a broader range of context. For example, the technology is applicable to prediction of physiological states other than alertness level, and to implementation environments other than driver monitoring.

The present invention relates, in various embodiments, to prediction of human subject states (e.g. physiological and/or psychological and/or neurological state) via a hybrid approach, which includes elements of AI-based classification and objective physiological analysis (such as blepharometric analysis). Embodiments are described by reference to applications in driver alertness monitoring. However, it will be appreciated that the technology is not limited as such, and has application in a broader range of context. For example, the technology is applicable to prediction of physiological states other than alertness level, and to implementation environments other than driver monitoring.

A system and method of extracting or inspecting a feature of an object using thermal imaging, and a method of inspecting an object of a garment product. The system includes a source of thermal influence arranged to heat or cool an object; an imager arranged to capture a plurality of images of the object when the object is subjected to the thermal influence; and an image processor arrange to processing the plurality of images and to distinguish a feature of interest from the other portions of the object presented on the plurality of images.

A thermal monitoring system includes at least one of an infrared sensor and a plurality of infrared sensors arranged in an array. Each infrared sensor has a resolution including a plurality of pixels. A controller is configured to create a thermal image of an area to be monitored based at least in part on the plurality of pixels of each infrared sensor. A thermal monitoring assembly includes an electrical panel including a plurality of electrical components located within the electrical panel. The at least one of an infrared sensor and the plurality of infrared sensors arranged in an array, either alone or in combination with additional sensors, are located inside the electrical panel. Methods of monitoring various parameters including a temperature of the plurality of electrical components located inside the electrical panel are also provided.

A sensor control method that is executed by an air-conditioning apparatus includes: acquiring a first thermal image by scanning an air-conditioned space using the infrared sensor in accordance with a first scanning scheme, the air-conditioning apparatus being placed in the air-conditioned space; extracting a subject thermal image from the first thermal image, based on a difference between a background thermal image of the air-conditioned space when no subject is present therein and the first thermal image; determining a second scanning scheme different from the first scanning scheme, when the subject thermal image has a size smaller than a threshold size; and acquiring a second thermal image by scanning an area corresponding to the subject thermal image of the air-conditioned space using the infrared sensor in accordance with the determined second scanning scheme.

An optical observation device for observing a target located at a distant observation sight that comprises an observation telescope and an infrared sighting device. The infrared sighting device eventually provides a visual target image as a sighting marker from a thermal infrared image of the observation sight. The sighting marker and the observation sight are simultaneously viewed in the field of view of the observation telescope so as to enable training of the observation telescope on a part of the observation sight where the target is located.

A thermal imaging system is provided. The system can include one or more thermal imaging devices, and a turn event controller in operative communication with the one or more thermal imaging devices. The turn event controller can be configured to obtain one or more vehicle parameters associated with an aerial vehicle and obtain one or more thermal images associated with the aerial vehicle during at least one phase of a turn of the aerial vehicle at an airport. The turn event controller can also be configured to process the one or more thermal images based on the one or more vehicle parameters to detect anomalies associated with the turn of the aerial vehicle, and generate, in response to detecting one or more anomalies, one or more signals indicative of the one or more anomalies.

An asset tracking system includes a camera adapted to capture images and output signals representative of the images. The camera may include one or more depth sensors that detect distances between the depth sensor and objects positioned within the field of view of the one or more cameras. A computer device processes the image signals and or depth signals from cameras and determines any one or more of the following: (a) whether a patient care protocol has been properly followed; (b) what condition a patient is in; (c) whether an infection control protocol has been properly followed; and (d) whether steps have been taken to reduce the risk of a patient from falling. Alerts may be issued if any conditions of importance are detected.