A method for estimating biometric landmark dimensional measurements of a human eye includes, in a possible embodiment, receiving one or more images of the human eye via a host computer. In response to receiving the one or more images, the method includes generating a preliminary set of landmark point locations in the one or more images via the host computer using a deep-learning algorithm, and then refining the preliminary set of landmark point locations using a post-hoc processing routine of the host computer to thereby generate a final set of estimated landmark point locations. Additionally, the biometric landmark dimensional measurements are automatically generated via the host computer using the final set of estimated landmark point locations. A data set is then output that is inclusive of the set of estimated landmark point locations. A host computer that executes instructions from memory to perform the method.

The problem to be solved by the invention is to accurately detect a distant object while preventing an increase in cost. An object recognition device includes: an imaging unit configured to acquire a plurality of thermal images having an object captured therein; a stereo matching unit configured to perform stereo matching using the plurality of thermal images and calculate a distance to the object; a specific temperature region extracting unit configured to extract a specific temperature region from the thermal images; and an area ratio estimating unit configured to estimate, based on the distance to the object calculated by the stereo matching unit, a ratio of an area of the object included in a pixel for the specific temperature region.

Methods, systems, and devices for data processing and artificial intelligence (AI) techniques are described. A system may support person detection using an optical camera and temperature detection using a thermal sensor. The thermal sensor may determine a temperature reading corresponding to a tracker for a specific detected person. A processing device may update a current temperature for the tracker based on the temperature reading and may add the updated current temperature to a baseline. For example, the processing device may use AI techniques to manage one or more baselines supporting handling of differences and changes in ambient temperatures. The processing device may determine that the current temperature for the tracker satisfies an alert threshold and may trigger an alert procedure. For example, the processing device may use an active baseline to correct the current temperature from a skin temperature to a body temperature for comparison to a fever detection threshold.

A method for forgoing image processing in response to infrared data analysis may include receiving infrared input data captured using one or more infrared sensors; analyzing the infrared input data to detect a presence of an object in an environment of a retail shelf; in response to no detected presence of an object in the environment of the retail unit, analyzing at least one image of the retail shelf captured using at least one image sensor; and in response to a detection of presence of an object in the environment of the retail unit, forgoing analyzing the at least one image of the retail shelf captured using the at least one image sensor.

A remote temperature detector system comprises a reference thermal mass; a temperature sensor in thermal contact with the reference thermal mass for monitoring temperature thereof and generating temperature signals indicative of the monitored temperature; an infrared detector for detecting infrared radiation emitted by an external object and generating infrared detection signals; and a processor in communication with the temperature sensor and the infrared detector to receive the temperature and infrared detection signals, wherein the processor is configured to operate on the infrared detection signals and temperature signals to estimate temperature of the one or more external objects.

A remote temperature detector system comprises a reference thermal mass; a temperature sensor in thermal contact with the reference thermal mass for monitoring temperature thereof and generating temperature signals indicative of the monitored temperature; an infrared detector for detecting infrared radiation emitted by an external object and generating infrared detection signals; and a processor in communication with the temperature sensor and the infrared detector to receive the temperature and infrared detection signals, wherein the processor is configured to operate on the infrared detection signals and temperature signals to estimate temperature of the one or more external objects.

The present disclosure provides a spectral imaging chip and apparatus, an information processing method, a fingerprint living body identification device and a fingerprint module. The spectral imaging chip can obtain spectral information of a captured object without affecting the spatial resolution and imaging quality of the resulting image, which is convenient for grasping more comprehensive information of the object to be imaged. The fingerprint living body identification device and fingerprint module can realize fingerprint living body identification through the spectral imaging chip, which is advantageous to improve the stability of the component performance, while reducing the volume, weight and cost of the spectral components, greatly improving the anti-counterfeiting ability of the fingerprint identification system.

This application relates to systems, methods, devices, and other techniques for methods with cameras and specialized ink spreads and augmented reality technology that can be utilized to generate models within an auto-checkout system within a retail environment

A system including circuitry configured to determine a reflectance feature of a liquid based on reflectance image data generated based on multispectral image data of the liquid; determine a structural feature of the liquid based on image data of the liquid; and to provide quality information of the liquid based on the reflectance feature and the structural feature.

A system including circuitry configured to determine a reflectance feature of a liquid based on reflectance image data generated based on multispectral image data of the liquid; determine a structural feature of the liquid based on image data of the liquid; and to provide quality information of the liquid based on the reflectance feature and the structural feature.