Abstract: A task dispatching method for EPD tag devices includes receiving a task command; the server system forwarding the task command to a target router to which the target EPD tag device is connected; the target router checking whether the target EPD tag device is currently connected thereto; when it is determined that the target EPD tag device is not currently connected to the target router, the target router notifying the server system that the target EPD tag device is offline; in response to receiving an online notification indicating that the target EPD tag device is connected to another router, the server system updating a connection list accordingly, and forwarding the task command to an updated target router; and when it is determined that the target EPD tag device is currently connected to the target router, the target router delivering the task command to the target EPD tag device.

Abstract: An identification method includes: sensing movement data; capturing multiple feature data from the movement data; cutting the first feature data into a plurality of first feature segments, dividing the first feature segments into a plurality of first feature groups, and calculating multiple first similarity parameters of the first feature groups respectively corresponding to a plurality of channels; making the first feature groups correspond to the channels according to the first similarity parameters; simplifying the first feature groups corresponding to the channels respectively by a convolution algorithm to obtain a plurality of first convolution results corresponding to the first feature groups; simplifying the first convolution results corresponding to the first feature groups respectively by a pooling algorithm to obtain multiple first pooling results corresponding to the first feature groups; and combining the first pooling results corresponding to the first feature groups to generate a first feature m

Abstract: An identification method includes: sensing movement data; capturing multiple feature data from the movement data; cutting the first feature data into a plurality of first feature segments, dividing the first feature segments into a plurality of first feature groups, and calculating multiple first similarity parameters of the first feature groups respectively corresponding to a plurality of channels; making the first feature groups correspond to the channels according to the first similarity parameters; simplifying the first feature groups corresponding to the channels respectively by a convolution algorithm to obtain a plurality of first convolution results corresponding to the first feature groups; simplifying the first convolution results corresponding to the first feature groups respectively by a pooling algorithm to obtain multiple first pooling results corresponding to the first feature groups; and combining the first pooling results corresponding to the first feature groups to generate a first feature m

Abstract: A stereo camera apparatus including an image capturing device, an optical axis controlling module and a calculating module is provided. The image capturing device is suitable for obtaining a stereo image, and the image capturing device includes a plurality of image capturing units. The optical axis controlling module is coupled to the image capturing device. The calculating module is coupled to the image capturing device and the optical axis controlling module, wherein the calculating module calculates a calibration condition according to the stereo image. The optical axis controlling module adjusts directions of imaging optical axes of the image capturing units. After being adjusted by the optical axis controlling modules, the imaging optical axes of the image capturing units are aligned. Besides, a self-calibration apparatus and a method of calibration are also provided.

Abstract: An interactive projector and an operation method thereof for determining a depth information of an object are provided. The interactive projector includes an optical engine, an image capture unit and a process unit is provided. The optical engine projects a visible image via a visible light source and an invisible pattern via an invisible light source to a projection area. The visible light source and the visible are integrated to the optical engine. The image capturing unit captures an image having depth information from the projection area, which the image is being projected on an object via the invisible light source. A processing unit is electrically coupled to the optical engine and the image capturing unit. The processing unit receives the image having depth information and determines an interactive event according to the image having depth information. According to the interactive event, a status of the optical engine is refreshed.

Abstract: An object recognition method and an object recognition apparatus using the same are provided. In one or more embodiments, a real-time image including a first object is acquired, and a chamfer distance transform is performed on the first object of the real-time image to produce a chamfer image including a first modified object. Preset image templates each including a second object are acquired, and the chamfer distance transform is performed on the second object of each preset image template to produce a chamfer template including a second modified object. When the difference between the first modified object and the second modified object is less than a first preset error threshold, the object recognition apparatus may operate according to a control command corresponding to the preset image template.

Abstract: An object recognition method and an object recognition apparatus using the same are provided. In one or more embodiments, a real-time image including a first object is acquired, and a chamfer distance transform is performed on the first object of the real-time image to produce a chamfer image including a first modified object. Preset image templates each including a second object are acquired, and the chamfer distance transform is performed on the second object of each preset image template to produce a chamfer template including a second modified object. When the difference between the first modified object and the second modified object is less than a first preset error threshold, the object recognition apparatus may operate according to a control command corresponding to the preset image template.

Abstract: An optical-see-through head mounted display (HMD) system is provided. The optical-see-through HMD system has a camera for generating image frames, a display device and a processor. The processor proceeds an interactive operation on each image frame. In the interactive operation, an image analysis is performed on the image frame to obtain positioning information of a marker and 3-dimensional information of an input device. According to the positioning information, the 3-dimensional information and eye position of an user, an image shielding process is performed to correct a portion of the frame to be displayed which is corresponding to the input device and a collision test is performed according to the positioning information and the 3-dimensional information of an input device to determine whether the input device touches the virtual image displayed by HMD. Then, an event corresponding to the touch position of the virtual image is executed.

Abstract: An optical-see-through head mounted display (HMD) system is provided. The optical-see-through HMD system has a camera for generating image frames, a display device and a processor. The processor proceeds an interactive operation on each image frame. In the interactive operation, an image analysis is performed on the image frame to obtain positioning information of a marker and 3-dimensional information of an input device. According to the positioning information, the 3-dimensional information and eye position of an user, an image shielding process is performed to correct a portion of the frame to be displayed which is corresponding to the input device and a collision test is performed according to the positioning information and the 3-dimensional information of an input device to determine whether the input device touches the virtual image displayed by HMD. Then, an event corresponding to the touch position of the virtual image is executed.

Abstract: A stereo camera apparatus including an image capturing device, an optical axis controlling module and a calculating module is provided. The image capturing device is suitable for obtaining a stereo image, and the image capturing device includes a plurality of image capturing units. The optical axis controlling module is coupled to the image capturing device. The calculating module is coupled to the image capturing device and the optical axis controlling module, wherein the calculating module calculates a calibration condition according to the stereo image. The optical axis controlling module adjusts directions of imaging optical axes of the image capturing units. After being adjusted by the optical axis controlling modules, the imaging optical axes of the image capturing units are aligned. Besides, a self-calibration apparatus and a method of calibration are also provided.