There is provided a recognition system adaptable to a portable device or a wearable device. The recognition system senses a body heat using a thermal sensor, and performs functions such as the living body recognition, image denoising and body temperature prompting according to detected results.

A vehicle control apparatus determines a travelling region in which the vehicle is travelling among a plurality of regions into which an area is divided by a predetermined boundary line. When an obtained position which is determined based on a positioning signal from a positioning satellite is not included in a boundary zone, the apparatus determines that the travelling region is a region in which the obtained position is included. The boundary zone is a belt-like zone including the boundary line. Meanwhile, when the obtained position is not included in the boundary zone, the apparatus determines the travelling region based on a piece of information included in an image of an area in front of the vehicle. Each piece of the information is associated with one of the regions having a part overlapping the boundary zone.

There is provided a human falling detection system including an image sensor, a thermal sensor and a microphone. The image sensor captures an image frame that is used to identify a face and a height-width ratio of a human image. The thermal sensor is used as a filter for filtering out a living body and captures a thermal image that is used to identify a height-width ratio of a human thermal image. The microphone records a time stamp of an abrupt sound appearing.

An image processing method and apparatus for target recognition is disclosed. The method includes: inputting N frames of images into a quality evaluation network model; determining, with the quality evaluation network model, a feature vector of each of the N frames of images according to an attention weight of a preset sub-region image and M quality evaluation parameters; determining quality evaluation values of the N frames of images according to the feature vectors of the N frames of images; determining a target image or a target vector for target recognition according to the quality evaluation values of the N frames of images. The feature vector of each frame of image is determined based on the attention weight of the sub-region image and M quality evaluation parameters.

An image processing method, including: obtaining an original image, the original image including biological features of a to-be-detected object, fusing a global frequency domain map corresponding to the original image with the original image to obtain a global fusion image, performing living body detection on the global fusion image to obtain a first detection result, determining that the original image does not pass the living body detection when the first detection result indicates that the original image belongs to a screen reproduced image, obtaining, when the original image does not belong to the screen reproduced image, a biological feature image based on the biological features, fusing a local frequency domain map with the biological feature image to obtain a local fusion image, performing living body detection on the local fusion image to obtain a second detection result, and determining a living body detection result corresponding to the original image.

The use of sensor data, data interactions between connected devices, data from physical world sensors and users of these where the data gathered is stored across central computation and storage servers, across multiple data nodes in secure and encrypted distributed ledgers, and the data is interacting with on-device computation and storage capabilities to create data interactive, electronic networks that enables multi-level control, variable access, payment and re-numeration capable, multi-user communications of real-time contextually relevant data, process and workflow data and information among network-connected devices, connected displays, sensors and the actions based on those communications, with the collected data gathered from the interactions stored on cloud based augmented intelligence computation servers and or select data stored in distributed ledger blockchain nodes with smart contract per data node delivering content, information, access and instructions based on past behavior and actions, instructions or computed commands with this data combined with the data of the outcome of these interactions stored on decentralized network of data nodes for immediate benefit, rewards, reoccurring remunerations, disclosure of information and benefits to authorized and approved users as the network-connected devices move from one location to another and/or the data/information flow among those devices change over time.

An object detection, tracking and alert system for use in connection with a waste collection vehicle is provided. The system can determine if an external moving object in the surrounding environment of the waste collection vehicle, such as another vehicle or a bicycle, is moving directly towards the waste collection vehicle, and then send one or more alerts to the driver and/or riders on the waste collection vehicle as well as any other waste collection vehicles in the surrounding area.

A method is provided for transposition of a detected object and its tracking from a 3D sensor to a different system in 6 degrees of freedom. The method includes receiving sensing data from the one or more 3D sensors, generating 3D cartesian coordinates of reflections and intensities with respect to the respective 3D sensors, searching, detecting, classifying, segmenting, tracking and forecasting motion of objects in the 3D surrounding keeping the respective 3D sensor as origin, transposing the origin for the coordinates of the searched, detected, classified and tracked object in real time to one or more secondary devices, and providing the real time detection, classification and tracking of the object to a user context application with the one or more secondary devices as origin, without any delay real time covering all 6 Degrees of Freedom.

Certain aspects of the present disclosure provide techniques for sensor calibration. First sensor data is received from a first sensor and second sensor data is received from a second sensor, where the first sensor data and the second sensor data each indicate detected objects in a space. The first sensor data is transformed using a first transformation profile to convert the first sensor data to a coordinate frame of the second sensor data. The first transformation profile is refined based on a difference between the transformed first sensor data and the second sensor data.

Provided are a method and apparatus for detecting a human body around a game table, an electronic device and a storage medium. The method includes that: three-dimensional scene data of the game table collected by at least one three-dimensional sensor arranged around the game table is acquired; human body detection information around the game table is acquired, wherein the human body detection information includes detection information of at least one human body; and the human body detection information is filtered based on the three-dimensional scene data to obtain a human body detection result around the game table.