6 results about "Pupil movement" patented technology

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto user's retina based on pupil position and size. The glasses comprise frame, lenses with directed pixel layers, sensors for tracking pupil movement. Each directed pixel generates multiple virtual pixels by rapidly changing its emission angle. Each directed pixel with pupil's real-time tracking, provides automatic adjustments to virtual contents, ensuring accurate alignment of images with field of view of users while identifying vergence-accommodation conflict. The glasses function as prescription lenses, virtual reality displays, augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, connectivity to peripheral devices. The glasses enable seamless blend of virtual and real-world experiences, creating immersive “Mixverse” environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

To express a more lifelike quality. [Solution] The robot 100 includes a detection unit for detecting objects, an eye unit 150 that mimics an eye and can change the position and size of the pupil, and a control unit 110 that performs a first control to move the position of the pupil in the eye unit 150 to indicate that the robot is looking at an object detected by the detection unit, and a second control to change the position or size of the pupil in the eye unit 150 in a wavering manner, which is a different pupil movement from the movement of the pupil position by the first control.

The present disclosure provides a pupil movement tracking method, device, equipment and storage medium. The method comprises: preprocessing an N+1th frame image in an eye video to obtain a corresponding binary image; performing class circle region detection on the binary image to determine position information of a suspected pupil region in the binary image; performing mask processing on the binary image based on the position information to obtain a binary image after mask processing; performing pupil contour extraction on the binary image after mask processing to obtain corresponding suspected pupil contour feature points, and screening the suspected pupil contour feature points based on the position information to obtain pupil contour feature points; determining a coefficient of variation of the pupil contour feature points in the N+1th frame image based on the pupil contour feature points and a pupil center point in an Nth frame image in the eye video; and determining a pupil center point in the N+1th frame image based on the coefficient of variation, to be used for pupil movement tracking.

This application discloses an image distortion detection method, apparatus, electronic device, and readable storage medium, applied in the field of computer vision technology. The image distortion detection method includes: acquiring at least one reference pixel grayscale value corresponding to a target pixel in an image to be detected; performing distortion enhancement on the image to be detected based on the grayscale values ​​of each reference pixel to obtain a distortion-enhanced image; and performing image distortion detection on the image to be detected based on the distorted pixels in the distortion-enhanced image to obtain an image distortion detection result. This application solves the technical problem of low detection accuracy for pupil movement distortion in images.

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto user's retina based on pupil position and size. The glasses comprise frame, lenses with directed pixel layers, sensors for tracking pupil movement. Each directed pixel generates multiple virtual pixels by rapidly changing its emission angle. Each directed pixel with pupil's real-time tracking, provides automatic adjustments to virtual contents, ensuring accurate alignment of images with field of view of users while identifying vergence-accommodation conflict. The glasses function as prescription lenses, virtual reality displays, augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, connectivity to peripheral devices. The glasses enable seamless blend of virtual and real-world experiences, creating immersive "Mixverse" environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

There is provided a method for threat detection based on facial image analysis, the method comprises identifying a face from a facial image acquired from a camera, inferring an emotion corresponding to the face to obtain an emotion-based threat score based on the inferred emotion, obtaining an eye-based threat score based on a blink frequency of eyes on the face and a number of pupil movements in the face, and detecting whether a person corresponding to the face is in a threat situation based on a total threat score calculated by combining the emotion-based threat score and the eye-based threat score.