Utechzone Co., Ltd.

Chia-Chun Tsou

Po-Tsung Lin

Chih-Heng Fang

Chia-We Hsu

Chia-Wen Kao

Chien-Chung Lin

Arulmurugan Ambikapathi

Ying-Ming Hung

Hsiao-Wei Huang

Shi-Hau Yeh

Shaw-Ren Leu

An instrumentation image analyzing system includes an image capturing device, a processor connected to the image capturing device, and a communication module connected to the processor, which replaces visual observation work of human by image analyzing technique for saving costs of manual visual observation as well as reducing the error rate of detection and enhancing the efficiency of detection. The image capturing device captures an image of at least one instrumentation to obtain an instrumentation image. The processor loads a program to perform an instrumentation identifying module which identifies the instrumentation image to generate an instrumentation information. The communication module transmits the instrumentation information to an external device.

Image analyzing device and method for instrumentation, instrumentation image analyzing system, and non-transitory computer readable record medium

A method for evaluating an efficiency of a manual inspection for a defect pattern is provided according to an embodiment of the disclosure, which comprises: enabling an evaluation program; loading a test image automatically by the enabled evaluation program and displaying the test image in a user interface; detecting a user behavior of a user after the user watches the test image; generating original data according to the user behavior, wherein the original data reflects at least one of whether the user identifies the defect pattern in the test image and a type of the defect pattern identified by the user; and performing a quantitative operation on the original data to generate evaluation data corresponding to the efficiency of the manual inspection, wherein the evaluation data reflects an evaluation result corresponding to the efficiency of the manual inspection.

Method and system for evaluating efficiency of manual inspection for defect pattern

Robotic arm processing method and system based on 3D image are provided. The processing method includes: providing robotic arm 3D model data and processing environment 3D model data; obtaining workpiece 3D model data, and generating a processing path consisting of contact points according to the workpiece 3D model data, wherein a free end of a robotic arm moves along the processing path to complete a processing procedure; generating a posture candidate group according to a relationship according to each one of the contact points corresponding to the free end of the robotic arm; selecting an actual moving posture from the posture candidate group; moving the free end of the robotic arm to each corresponding one of the contact points according to the selected actual moving posture; and moving the free end of the robotic arm along the processing path according to the actual moving postures to perform the processing procedure.

Robotic arm processing method and system based on 3D image

An eye movement traces authentication system comprises an image capturing device, a display device, and a control unit. The image capturing device is for capturing a user's image. The display device is for providing a display interface for the user to watch. The control unit includes a facial feature recognition module or hand feature recognition module, an eye-movement analyzing module, an eye movement traces unlocking module, and a volitional confirmation module. The eye movement traces authentication system uses the user's facial features to confirm the user's identity and determines the user's watching direction and eye movement, by recording user's eye movement traces from the user's watching direction to verify the user's identity and by analyzing the user's eye movement to confirm, according to the user's eye movement, whether the user is operating volitionally.

Eye movement traces authentication system, method, and non-transitory computer readable medium, the same which integrate with face recognition and hand recognition

The present invention is a dynamic graphic eye-movement authentication system, comprising an image capturing device, a display device, and a control unit. The image capturing device is provided for capturing images of a user's eyes to obtain the user's gaze direction. The display device is for providing a display interface to user. The control unit has a graphic producing module, an eye-movement analyzing module, and a graphic authentication module, wherein the graphic producing module provides a plurality of dynamic graphics on the display interface, wherein the eye-movement analyzing module determines the user gaze direction according to the images of the user's eyes, wherein the graphic authentication module generates authentication-oriented input information according to the dynamic graphic selected by the user through the gaze direction and compares the authentication-oriented input information with user authentication information in an authentication database.

Dynamic graphic eye-movement authentication system and method using face authentication or hand authentication

An identity verification method and an identity verification apparatus are provided. A face image sequence of a user is analyzed to determine whether a biological feature conforms to a preset feature. An input interface is displayed after the biological feature conforms to the preset feature. An eye tracking detection is executed for a face image sequence to detect a blinking movement of the user. And a mental verification is executed by using the blinking movement. The invention combines the biological feature with the eye tracking detection for identity verification. The invention not only tightens security but also diversifies operation.

Identity verification and apparatus

An authentication system controlled by eye open and eye closed state and a handheld control apparatus thereof are provided. The handheld control apparatus includes a housing case, an image capturing unit and a processing unit. The housing case has a window and is suitable for a user to hold. The image capturing unit is disposed in the housing case and captures an eye area of the user through the window to obtain an image sequence. The processing unit is coupled to the image capturing unit and analyzes the image sequence to obtain eye image information of the eye area of the user. The processing unit detects an eye-open state and an eye-closed state of the user based on the eye image information, converts a plurality of the eye-open states and the eye-closed states into a blink code, and accordingly generates a control command to control a security equipment.

Authentication system controlled by eye open and eye closed state, handheld control apparatus thereof and computer readable recording media

The present invention provides an eye-controlled password input apparatus, which comprises a display device to display a password menu, an image capturing device to capture an user's eye region image, a memory unit to store at least one preset password and a corresponding account number, a control unit to generate the password menu according to the preset password, and an image processing unit. The image processing unit obtains a plurality of reference objects from the eye image so as to recognize the eye movement direction and to confirm password input. After input a character of the password, the display device generates another password selection menu for the user to input another password character until the password input program is completed.

Eye-controlled password input apparatus, method and computer-readable recording medium and product thereof

A method, an apparatus and a computer program product for positioning pupil are provided. A pupil contour is obtained from a pupil image after the pupil image is obtained. And an ellipse feature is obtained according to curvature information of the pupil contour, and then a sight direction is determined according to the ellipse feature.

Method, apparatus and computer program product for positioning pupil

A method and an apparatus for recording reading behavior are provided. A movement trajectory of a user's eye is tracked based on an eye-tracking procedure, so as to calculate reading time of a gazing part of an electronic document when it is detected that sight of an eye leaves the gazing part, or when it is detected that the eye keeps gazing the electronic document and reading of the gazing part is finished. And the reading time is recorded to a storage space corresponding to the gazing part.

Method and apparatus for recording reading behavior

A network authentication method and a system based on an eye tracking procedure are provided. An image capturing unit of a user terminal captures a face image sequence of a user, and transmits the face image sequence to a server terminal such that the server terminal executes an authentication procedure to return an authentication result. The user terminal executes an eye tracking procedure based an eye movement of the user. The user terminal transmits an emergency signal to the server terminal if the user terminal determines that an emergency mode is triggered during the eye tracking procedure.

Network authentication method and system based on eye tracking procedure

A method and an apparatus for detecting blink are provided. After obtaining an eye image sequence of a user, a currently analyzed image and a previously captured image are obtained from the eye image sequence and reflective regions of the currently analyzed image and the previously captured image are filtered, wherein the brightness values of pixels included in the reflective regions are higher than a brightness threshold. Difference pixel amount between the currently analyzed image and the previously captured image is calculated so as to determine whether the user blinks according to the difference pixel amount.

Method and apparatus for detecting blink

The present invention relates to an eye searching method and an eye state detection apparatus and an eye searching apparatus using the same. The method comprises the steps of: defining each center point of two nostrils from a face image; computing a distance D between the two center points of the two nostrils and a midpoint between the two center points of the two nostrils; determining a reference point that has a horizontal distance k1&#xd7;D and a vertical distance k2&#xd7;D spaced apart from the midpoint, wherein k1=1.6&#x2dc;1.8, k2=1.6&#x2dc;1.8; and defining a rectangle around the reference point as its center, wherein the rectangle has a width and a length greater than the width, and the rectangle surrounds the eye of the face image. Accordingly, the present invention can quickly and accurately find out a certain part of the eye from the face image.

Eye searching method and eye state detection apparatus and eye searching apparatus using the same

A device for generating signal by detecting facial movement and operating method thereof is provided, which includes: an image capture unit, and a processing unit. The image capture unit for obtaining an image series. The processing unit receives the images series from the image capture unit, wherein the processing unit includes an image background removal module, an image extracting module, and a comparator, wherein the image background removing module processes each of the image series respectively to obtain a facial image, wherein the feature location module determines a location of a pair of nostrils in the facial image, defines a mouth searching frame, and acquires a data of mouth movements through the mouth searching frame, wherein the comparator compares the data of mouth movements with predetermined facial information, and generates a designated signal according to the comparison result.

Device, operating method and computer-readable recording medium for generating a signal by detecting facial movement

A method and an apparatus for marking electronic document are provided. An image sequence of a user is captured by an image capturing unit, and an eye tracking procedure, a nod detecting procedure and a blink detecting procedure are executed for analyzing the image sequence. A first position on the electronic document where a current sightline of the user falls when the user performs a first specific action is obtained, and a marking action is executed for marking the electronic document along with a movement trajectory of the user's eyes starting from the first position. A second position on the electronic document where the current sightline falls when the user performs a second specific action is obtained, and the marking action is finished at the second position.

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Taipei, Taiwan

Chia-Chun Tsou