In step S11, a color image CIMG is acquired. In step S12, a distance image DIMG is acquired. In step S13, the color image CIMG is projected onto the distance image DIMG. An alignment of the color image CIMG and the distance image DIMG is performed prior to the projection of the color image CIMG. In step S14, it is determined whether or not a basic condition is satisfied. In S15, it is determined whether or not a special condition is satisfied. If a judgement result of the steps S14 or S15 is positive, then in step S16 a first data point and a second data point on the distance image DIMG are associated. If bot of the judgement results of steps S14 and S15 are negative, data points are not associated in step S17.

A wearable heads-up display (WHUD) obtains attribute data corresponding to an attribute of an item of interest and obtains environmental data of an environment surrounding the WHUD via one or more sensors of the WHUD. The WHUD compares the attribute data with the environmental data to detect the item of interest. In response to the detection, the WHUD obtains location data indicative of a location of the item of interest, stores the location data in association with a context of detection of the item of interest. In response to a trigger, such as a query by a user regarding the item of interest, the WHUD provides a location indication based on the location data, the location indication including, for example, a display of a description of the location of the item of interest, a display of the item of interest at the location, and the like.

A chip recognizing and learning system includes: a game recording device configured to record a state of chips piled up on a gaming table as an image by a camera; a chip determining device including an artificial intelligence device configured to analyze the recorded image of the state of the chips to determine the numbers and kinds of chips bet by a player; and a teaching device configured to input, in a case where it is determined that there is a doubt for an error in a determining result of the chip determining device, the image used for determination of the chip determining device and the correct numbers and correct kinds of chips for the error as teaching data to the artificial intelligence device to allow the artificial intelligence device to perform learning.

The present disclosure generally pertains to an object detection circuitry configured to: obtain first feature data which are based on first sensing data of a first sensor; compare the first feature data to a first predetermined feature model being representative of a predefined object, wherein the first predetermined feature model is specific for the first sensor, thereby generating first object probability data; obtain second feature data which are based on second sensing data of a second sensor; compare the second feature data to a second predetermined feature model being representative of the predefined object, wherein the second predetermined feature model is specific for the second sensor, thereby generating second object probability data; and combine the first and the second object probability data, thereby generating combined probability data for detecting the predefined object.

Technologies and techniques for automatically executing a security function of a surveillance system with respect to at least one object of interest based on spatially resolved sensor data for environment perception generated by at least one sensor device. Spatially resolved sensor data, is received. A trained machine-learning computer vision model is accessed to determine at least one surveillance parameter. The model includes a set of parameters set to values learned as a result of a training process based on a synthetic training data set, which is generated by rendering at least one model of the at least one object of interest according to at least one render parameter. The generation of the training data set is determined based on at least one environment parameter being characteristic for the environment to be surveilled and/or for the sensor device. The security function is executed depending on the at least one surveillance parameter.

Provided are an alarm method and apparatus for a tabletop game, an electronic device and a storage medium. The method includes that: at least one frame of game tabletop image collected in a prop operation stage of a game is acquired; for each frame, a placement position of a preset identity object in the game tabletop image is detected, a tabletop of the game including a placement region corresponding to each game party, and the preset identity object being configured to identify a first game party allowed to operate a game prop; a second game party corresponding to the placement position of the preset identity object is determined according to the placement region corresponding to each game party; and in a case where the first game party is inconsistent with the second game party, alarm information for characterizing a placement error of the preset identity object is output.

An indoor navigation method is provided, including: receiving an instruction for navigation, and collecting an environment image; extracting an instruction room feature and an instruction object feature carried in the instruction, and determining a visual room feature, a visual object feature, and a view angle feature based on the environment image; fusing the instruction object feature and the visual object feature with a first knowledge graph representing an indoor object association relationship to obtain an object feature, and determining a room feature based on the visual room feature and the instruction room feature; and determining a navigation decision based on the view angle feature, the room feature, and the object feature.

An information handling system peripheral camera ensures privacy with a cover that minimizes distance of a camera module to a front opening of the camera housing. For instance, opposing cover members rotate about geared ends that engage to translate rotation between the members, where the members meet over a camera opening to block capture of visual images and move to opposing sides to expose the camera module. In an alternative embodiment, a rotating shutter arrangement selectively covers the camera for security and also covers a microphone to provide security against unauthorized audible access through the camera. Selective covering and exposing of a camera module, infrared camera, microphone and user presence detection sensor support adaptive security at a camera based upon end user context.

An information processing system is provided. The information processing system comprises: an analysis device configured to analyze emotion of a first person and quantify an emotion level of the first person; and an identification device configured to identify a second person serving as a communication target of the first person. The information processing system further comprises a notification device configured to notify the second person if the emotion level exceeds a set threshold.

A system for identifying weeds present within a field includes an imaging device configured to capture an image depicting a plurality of plants present within the field. Furthermore, the system includes a computing system communicatively coupled to the imaging device, with the computing system configured to receive the image captured by the imaging device. Additionally, the computing system is configured to identify a stalk of each of the plurality of the plants depicted within the received image. Moreover, the computing system is configured to determine a parameter associated with each identified stalk. In addition, the computing system is configured to identify each plant of the plurality of plants as a crop or a weed based on the corresponding determined parameter.