295 results about "Eye detection" patented technology

An automatic, red-eye detection and correction system for digital images capable of real-time processing of images, including a red-eye detector module that determines without user intervention if a red-eye defect exists. If a defect is located in an image the portion of the image surrounding the defect is passed to a correction module that de-saturates the red components of the defect while preserving the other color characteristics of the defect region. The invention is designed to minimize the computational resources required to detect and correct red-eye defects and thus is particularly suited to applications requiring real-time processing of large volumes of digital images prior to acquisition or printing. This system can operate on images stored on personal computers, commercial printers or inside digital cameras as part of the acquisition process, or prior to display on personal digital assistants, mobile phones and other digital imaging appliances.

In an eye detection method, a plurality of candidate eyes are located within a digital image. Pixels of interest having a predetermined characteristic and a predetermined association to respective eyes are found. Pixels of interest associated with each eye are grouped. Parametric boundaries are fit on each of the groups to define a plurality of detected eye features. The boundaries have a predefined uniform shape and a size matched to a respective group. Each of the detected eye features is scored as to a geometric relationship between the respective boundary and pixels of interest associated with the respective eye to provide eye feature scores.

The present invention relates to a method and apparatus of utilizing an eye detection apparatus in a medical application, which includes calibrating the eye detection apparatus to a user; performing a predetermined set of visual and cognitive steps using the eye detection apparatus; determining a visual profile of a workflow of the user; creating a user-specific database to create an automated visual display protocol of the workflow; storing eye-tracking commands for individual user navigation and computer interactions; storing context-specific medical application eye-tracking commands, in a database; performing the medical application using the eye-tracking commands; and storing eye-tracking data and results of an analysis of data from performance of the medical application, in the database. The method includes performing an analysis of the database for determining best practice guidelines based on clinical outcome measures.

Eye detection is used as the basis for providing power management or other variations of operational parameters of a controlled device. The system includes an imager and eye detection processing which cooperate to detect light received from a person's eye. The eye detection processing generates an output that can be used for determinations regarding presence of one or more persons or presence of a specific person. This output is used as the basis for switching the controlled device between at least two power consumption states. Eye detection may also be used to allow a person to actively adjust operational conditions of the controlled device, since unnatural eye blinking patterns may be associated with particular commands.

Alarm systems comprises an eye gaze direction detecting part, an obstacle detecting device and an alarm controlling part. The eye gaze direction detecting part determines a vehicle driver's field of view by analyzing facial images of a driver of the vehicle pictured by using a camera equipped in the vehicle. The obstacle detecting device detects the presence of an obstacle in the direction unobserved by the driver using a radar equipped in the vehicle, the direction of which radar is set up in the direction not attended by the driver on the basis of data detected by the eye gaze monitor. The alarm controlling part determines whether to make an alarm in case an obstacle is detected by the obstacle detecting device. The systems can detect the negligence of a vehicle driver in observing the front view targets and release an alarm to prevent the driver from any possible danger.

The present invention provides a fundus image classification method and device of retinopathy. The method comprises a step of obtaining the fundus image of an eye detection patient, a step of preprocessing the fundus image and obtaining a corresponding grey fundus image, a step of extracting a preset image characteristic in the grey fundus image, a step of analyzing the preset image characteristic according to the diabetic retinopathy classification model of the fundus image, and obtaining the classification result of the corresponding fundus image, a step of extracting the preset image characteristic in the preprocessed grey fundus image, and carrying out prediction classification on the above preset image characteristic through the diabetic retinopathy classification model established according to a support vector machine and a deep neural network so as to obtain a final classification result. The artificial participation is not needed in the whole process, the workload of doctors is reduced, the high standard requirement of the medical qualification level of the doctor is reduced, the accuracy of classification is improved, and the method and the device have great significance for specific applications and medical research.

A display device for displaying pictures at different angles based on the visual angle of a viewer comprises a display screen, a camera and a computer control system, wherein the computer control system is prestored with a series of pictures or videos taken at different visual angles of the same scene. The display device is characterized in that the camera is started by using the computer controlsystem to photograph the viewer in front of the display screen, and then the image of the viewer is sent to the computer control system; a face candidate region is quickly located on the image of theviewer photographed by a computer using the camera by combining a motion analysis method and a skin analysis method, and then a human-eye detection algorithm is applied to detecting the position of the eyes of the viewer; by combining the distance from the viewer to a screen, the visual angle between the viewer and the camera is calculated according to a formula described in the specification, and the visual angle theta between the viewer and the display screen is approximately equal to the visual angle gamma between the viewer and the camera according to another formula under the condition that the distance from the non-large screen of the display screen to the viewer is more than 1 m; after receiving the information of the visual angles, the system outputs pictures or videos corresponding to the visual angles to the display screen; in the formulas, theta is the visual angle of the viewer, f is the focal length of the lens of the camera, d is the distance from a target point in the collected image to the central point of the image and gamma is the visual angle between the viewer and the camera, theta is the visual angle between the viewer and the display screen, l is half of the width of the display screen, d is the distance from the viewer to the display screen, and beta is a rotating angle between the viewer and the centre line of the display screen.

The invention provides chip appearance detection method and system, which is applicable to the technical field of chip appearance detection, wherein the method comprises the following steps of: obtaining a picture of a chip to be tested; identifying whether a welding disc exists on the picture of the chip to be tested or not; storing the position information of the welding disc when the existenceof the welding disc is identified, and carrying out primary gray processing on the obtained picture of the chip to be tested according to the stored position information of the welding disc; carryingout communicated region analysis on the picture of the chip to be tested after the first gray processing; and identifying whether defects exist on the welding disc or not. The automatic identification of appearance defect of the welding disc on the chip can be realized, and the problems of low detection speed and low detection efficiency caused by welding disc defect of the manual eye detection mode can be avoided. In addition, after the step of obtaining the picture of the chip to be tested and before identifying whether the welding disc exists on the picture of the chip to be tested or not according to the shape characteristic of the welding disc, whether the dimension of the chip to be tested is qualified or not can be judged through extracting the dimension data of the chip to be tested and comparing the obtained data to the stored chip dimension data.