According to one embodiment, an electronic apparatus includes a sensor-integrated display device integrally including a display surface and a sensor surface, a data transfer device, an image data generation module, and a processing module. The data transfer device is configured to generate and output three-dimensional information. The image data generation module is configured to generate three-dimensional image data at a plurality of sensing points on the sensor surface based on the three-dimensional information. The processing module is configured to analyze an operation content of a conductor above the sensor surface based on the image data.

A biometric information process device includes: an image device configured to capture an image of an object; a memory; and a processor coupled to the memory and the processor configured to execute a process, the process comprising: detecting a touch point of the object with respect to a touch panel; extracting a biometric feature from the image of the object that is acquired by the image device; and correcting biometric information acquired from the image of the object based on a movement amount of the object on the touch panel and a movement amount of the biometric feature in the image of the object when the touch point detected in the detecting moves.

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 method of performing biometrics authentication based on an image required for biometrics. The method includes setting a region of interest for a user in a vehicle based on an image photographed by a first camera in a vehicle system, setting the region of interest for a face and/or a hand of the user, adjusting a view angle of a second camera based on the region of interest, acquiring an image for the biometrics for the user using the second camera, and performing the biometrics authentication based on the image. Implementations may reduce costs of implementing an in-vehicle biometrics authentication system. At least one of an autonomous vehicle, a user terminal, and a server may be linked with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services and the like.

Embodiments of the present inventive concept include retrofit compliance apparatus, which can include a catch basin or drip tray. The retrofit compliance apparatus can be used in conjunction with a hand hygiene dispenser, and monitor for compliant usage of the dispenser. The retrofit compliance apparatus can include one or more microcontrollers and one or more sensors. The retrofit compliance apparatus can detect whether the dispenser has been properly used. The retrofit compliance apparatus can collect data allowing the determination of the identity of who used the dispenser. Historical information about valid dispense counts and invalid dispense counts for each individual user can be maintained by a remote server.

Hand recognition system that compares narrow band ultraviolet-absorbing skin chromophores to identify a subject. Ultraviolet images of hands show much greater detail than visible light images, so matching of ultraviolet images may be much more accurate. A database of known persons may contain reference ultraviolet hand images tagged with each person's identity. Reference images and subject images may be processed to locate the hands, identify features (such as chromophores), compare and match feature descriptors, and calculate correlation scores between the subject image and each reference image. Locating and normalizing hand images may use infrared and visible light cameras in addition to ultraviolet. If the subject is moving, the subject's hand may be tracked, a 3D model of the subject's hand may be developed from multiple images, and this model may be rotated so that the orientation matches that of the reference images.

A biometrics authentication device for authenticating a person by comparing biometric features of a body part of the person with pre-stored biometric features of body parts of a plurality of registered persons is configured to: capture image data of the body part of the person; determine from the captured image data at least one characteristic geometric body part property of the body part of the person and biometric features of the body part of the person; limit comparison of the biometric features of the body part of the person to pre-stored biometric features of body parts of the plurality of registered persons which have a predefined similarity level with the at least one characteristic geometric body part property of the person.

A face posture analysis method, an electronic device, and a computer-readable storage medium are provided. The face posture analysis method includes: obtaining a face key point of a to-be-processed face image; and inputting the face key point of the to-be-processed face image into a neural network, to obtain face posture information of the to-be-processed face image output by the neural network.

A safety monitoring apparatus and method thereof for human-driven vehicle are provided. The safety monitoring apparatus includes a sensing unit, a processing unit, and a warning unit. The sensing unit and the warning unit are electrically connected to the processing unit, respectively. The sensing unit is arranged on a steering member of the human-driven vehicle and is used for sensing whether the steering member is in contact with a hand of a driver and generating a sensing signal accordingly. The processing unit determines whether the hand of the driver is placed on the steering member. The warning unit is used for generating a safety warning message. When the processing unit determines that the hand of the driver has not been placed on the steering member according to the sensing signal, the processing unit drives the warning unit to generate the safety warning message to warn the driver.

Images of a hand are obtained by a camera. These images may depict the fingers and palm of the user. A pose of the hand relative to the camera may vary due to rotation, translation, articulation of joints in the hand, and so forth. One or more canonical images are generated by mapping the images to a canonical model. A first embedding model is used to determine a first embedding vector representative of the palm as depicted in the canonical images. A second embedding model is used to determine a set of second embedding vectors, each representative of individual fingers as depicted in the canonical images. Embedding distances in the embedding space from the embedding vectors to a closest match of previously stored embedding vectors are multiplied together to determine an overall distance. If the overall distance is less than a threshold value, an identity of a user is asserted.