Abstract: 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.

Abstract: The present invention provides a method for enhancing an optical feature of a workpiece, comprising the steps of receiving the workpiece and corresponding defect image information from outside, moving the workpiece to a working area, generating feature enhancement information according to the defect image information, adjusting an optical properties of a variable light source device according to the feature enhancement information, and then lighting the workpiece in the working area by the variable light source device and adjusting an external parameter and an internal parameter of a variable image-taking device according to the feature enhancement information, and then capturing images of the workpiece in the working area by the variable image-taking device to obtain feature-enhanced images of the workpiece.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An identity verification method, apparatus and system and a computer program product are provided. An eye movement tracking algorithm is executed for a face image sequence of a user to detect an eye movement status of the user. A password string is input through the input interface based on the eye movement state to start an eye movement verification procedure. And an autonomous determination procedure is executed based on the eye movement state to determine whether a user is in an autonomous state. When it is determined that the user is in the autonomous state, an operation procedure is started. When it is determined that the user is in a non-autonomous state, a warning signal is generated and the operation procedure is started.

Abstract: 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.

Abstract: The present invention provides an apparatus for enhancing an optical feature of a workpiece, comprising at least one variable image-taking device, at least one variable light source device, an image processing module and a control device. The variable image-taking device obtains images of the workpiece, and an external parameter and an internal parameter of which are adjustable. The variable light source device provides light source to the lighting the workpiece, wherein the variable light source device has an adjustable optical properties. The image processing module generates feature enhancement information according to the defect image information. The control device adjusts the external parameter, the internal parameter, and the optical properties according to the feature enhancement information and controls operations of the variable image-taking device and the variable light source device to obtain feature-enhanced images of the workpiece.

Abstract: The present invention is to provide a robotic arm processing system, comprising: at least one robotic arm, at least one three-dimensional (3D) environment scanning device, and a processing device coupled between the robotic arm and the 3D environment scanning device. The robotic arm performs a processing procedure on at least one workpiece in a working area. The three-dimensional (3D) environment scanning device scans the working area to obtain 3D environment information of the working area. The processing device configures for generating a 3D model of the workpiece and a 3D model of the working area according to 3D environment information of the workpiece and the 3D environment information of the working area. Wherein the processing device generates a working path according to the 3D model of the workpiece and the 3D model of the working area and drives the robotic arm along the working path to perform a corresponding working procedure on the workpiece.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An image analyzing device for instrumentation, comprising: an image capturing module, a processor connected to the image capturing device and a communication module coupled to the processor. The image capturing module captures an instrumentation image of at least one instrumentation. The processor performs an instrumentation identify module which identifies the instrumentation image and generates an instrumentation information. The communication module coupled to the processor transmits the instrumentation information of the instrumentation to an external device.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An identity verification method, apparatus and system and a computer program product are provided. An eye movement tracking algorithm is executed for a face image sequence of a user to detect an eye movement status of the user. A password string is input through the input interface based on the eye movement state to start an eye movement verification procedure. And an autonomous determination procedure is executed based on the eye movement state to determine whether a user is in an autonomous state. When it is determined that the user is in the autonomous state, an operation procedure is started. When it is determined that the user is in a non-autonomous state, a warning signal is generated and the operation procedure is started.

Abstract: 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.