Abstract: An image positioning device is provided in the invention. The image positioning device includes a calculation circuit and a positioning circuit. The calculation circuit obtains a plurality of images from an image capturing device and classifies the images into a plurality of main groups based on a first algorithm, wherein each main group corresponds to a different area and the calculation circuit classifies the images of each main group into a plurality of sub-groups based on a feature of each image of each main group and a clustering algorithm. The positioning circuit is coupled to the calculation circuit. The positioning circuit positions each sub-group in the area corresponding to each main group based on the relative position relationship between each sub-group of each main group.

Abstract: Digital image stitching systems and methods are disclosed herein for generating one or more panoramic image views. A plurality of digital images depicting a target feature within an application area are captured by a camera of a scanner device. Motion data is captured, by a sensor coupled to the scanner device, as the scanner device moves relative to the target feature, where relative position data, corresponding to the plurality of digital images, is determined based on the motion data. An angle or position is generated for a first image relative to a second image of the plurality of images, and, based on image matching of the angle or the position of the second image with respect to the first image, a panoramic image view is generated depicting the target feature in a wider field of view of the application area than either the first image or the second image.

Abstract: An image positioning device is provided in the invention. The image positioning device includes a calculation circuit and a positioning circuit. The calculation circuit obtains a plurality of images from an image capturing device and classifies the images into a plurality of main groups based on a first algorithm, wherein each main group corresponds to a different area and the calculation circuit classifies the images of each main group into a plurality of sub-groups based on a feature of each image of each main group and a clustering algorithm. The positioning circuit is coupled to the calculation circuit. The positioning circuit positions each sub-group in the area corresponding to each main group based on the relative position relationship between each sub-group of each main group.

Abstract: The speech correction system includes a storage device, an audio receiver and a processing device. The processing device includes a speech recognition engine and a determination module. The storage device is configured to store a database. The audio receiver is configured to receive an audio signal. The speech recognition engine is configured to identify a key speech pattern in the audio signal and generate a candidate vocabulary list and a transcode corresponding to the key speech pattern; wherein the candidate vocabulary list includes a candidate vocabulary corresponding to the key speech pattern and a vocabulary score corresponding to the candidate vocabulary. The determination module is configured to determine whether the vocabulary score is greater than a score threshold. If the vocabulary score is greater than the score threshold, the determination module stores the candidate vocabulary corresponding to the vocabulary score in the database.

Abstract: A method for fabricating nanoporous polymer thin film includes steps as follows. A polymer thin film is provided, wherein a polymer solution including a polymer is coated on a substrate to form the polymer thin film. A swelling and annealing process is provided, wherein the polymer thin film is disposed inside a chamber with a vapor of a first solvent, the polymer thin film is swollen and annealed to form a swollen polymer thin film, and the swollen polymer thin film includes the polymer and the first solvent. A freezing process is provided, wherein the swollen polymer thin film is cooled to a temperature less than or equal to a crystallization temperature of the first solvent to crystallize the first solvent. A first solvent removing process is provided, wherein the first solvent is removed with a second solvent, such that a nanoporous polymer thin film is obtained.

Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.

Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.

Abstract: The speech correction system includes a storage device and a processing device. The storage device stores a first database. The processing device includes an audio receiver, a speech recognition engine, a calculation module, and a determination module. The audio receiver receives multiple voice inputs. The speech recognition engine recognizes the voice inputs, generates multiple candidate vocabularies corresponding to each of the voice inputs, and generates a vocabulary probability corresponding to each of the candidate vocabularies. The calculation module performs a specific operation on the vocabulary probabilities corresponding to the same candidate vocabulary, to generate a plurality of corresponding operation results. The determination module determines whether each of the operation results is greater than a score threshold, and stores at least one output result that is greater than the score threshold to the first database.

Abstract: A manufacturing method of amphiphilic macromolecules is provided. The method includes: reacting the first acrylic acid with N,N?-carbonyldiimidazole to obtain a modified acrylic acid derivative; and reacting the modified acrylic acid derivative with the siloxane derivative to obtain amphiphilic macromolecules. Wherein, the terminal of the first acrylic acid has a hydroxyl group. Wherein, the siloxane derivative is a hydroxyl-terminated, acrylamide-terminated, epoxy-terminated or amine-terminated polysiloxane molecule.

Abstract: A method for improving the efficiency of reconstructing a three-dimensional model is provided. The method includes: dividing a series of different Gray code binary illumination patterns into a plurality of groups; converting binary values of Gray code binary illumination patterns in each group to a plurality of sets of two specific values to generate decimal illumination patterns corresponding to the specific values; overlapping the decimal illumination patterns in each group to a grayscale illumination pattern; using a projector to project each grayscale illumination pattern onto an object from a projection direction; using a camera to capture one or more object images of the object; reverting the object images to non-overlapping Gray code binary images corresponding to the object images; and reconstructing the depth of the object according to the non-overlapping Gray code binary images.

Abstract: The speech correction system includes a storage device and a processing device. The storage device stores a first database. The processing device includes an audio receiver, a speech recognition engine, a calculation module, and a determination module. The audio receiver receives multiple voice inputs. The speech recognition engine recognizes the voice inputs, generates multiple candidate vocabularies corresponding to each of the voice inputs, and generates a vocabulary probability corresponding to each of the candidate vocabularies. The calculation module performs a specific operation on the vocabulary probabilities corresponding to the same candidate vocabulary, to generate a plurality of corresponding operation results. The determination module determines whether each of the operation results is greater than a score threshold, and stores at least one output result that is greater than the score threshold to the first database.

Abstract: The speech correction system includes a storage device, an audio receiver and a processing device. The processing device includes a speech recognition engine and a determination module. The storage device is configured to store a database. The audio receiver is configured to receive an audio signal. The speech recognition engine is configured to identify a key speech pattern in the audio signal and generate a candidate vocabulary list and a transcode corresponding to the key speech pattern; wherein the candidate vocabulary list includes a candidate vocabulary corresponding to the key speech pattern and a vocabulary score corresponding to the candidate vocabulary. The determination module is configured to determine whether the vocabulary score is greater than a score threshold. If the vocabulary score is greater than the score threshold, the determination module stores the candidate vocabulary corresponding to the vocabulary score in the database.

Abstract: A manufacturing method of amphiphilic macromolecules is provided. The method includes: reacting the first acrylic acid with N,N?-carbonyldiimidazole to obtain a modified acrylic acid derivative; and reacting the modified acrylic acid derivative with the siloxane derivative to obtain amphiphilic macromolecules. Wherein, the terminal of the first acrylic acid has a hydroxyl group. Wherein, the siloxane derivative is a hydroxyl-terminated, acrylamide-terminated, epoxy-terminated or amine-terminated polysiloxane molecule.

Abstract: A method for improving the efficiency of reconstructing a three-dimensional model is provided. The method includes: dividing a series of different Gray code binary illumination patterns into a plurality of groups; converting binary values of Gray code binary illumination patterns in each group to a plurality of sets of two specific values to generate decimal illumination patterns corresponding to the specific values; overlapping the decimal illumination patterns in each group to a grayscale illumination pattern; using a projector to project each grayscale illumination pattern onto an object from a projection direction; using a camera to capture one or more object images of the object; reverting the object images to non-overlapping Gray code binary images corresponding to the object images; and reconstructing the depth of the object according to the non-overlapping Gray code binary images..

Abstract: The present disclosure relates to a three dimensional (3D) scanning apparatus. The 3D scanning apparatus includes an image sensor and a processor. The image sensor has a first sensing area and a second sensing area. The first sensing area is configured to capture a first set of images of an object. The second sensing area is configured to capture a second set of images of the object. The processor is configured to establish a first model based on the first set of images and to establish a second model based on the second set of images. The processor is further configured to compare a correspondence between the first model and the second model.

Abstract: A method for fabricating nanoporous polymer thin film includes steps as follows. A polymer thin film is provided, wherein a polymer solution including a polymer is coated on a substrate to form the polymer thin film. A swelling and annealing process is provided, wherein the polymer thin film is disposed inside a chamber with a vapor of a first solvent, the polymer thin film is swollen and annealed to form a swollen polymer thin film, and the swollen polymer thin film includes the polymer and the first solvent. A freezing process is provided, wherein the swollen polymer thin film is cooled to a temperature less than or equal to a crystallization temperature of the first solvent to crystallize the first solvent. A first solvent removing process is provided, wherein the first solvent is removed with a second solvent, such that a nanoporous polymer thin film is obtained.

Abstract: The present disclosure relates to a three dimensional (3D) scanning apparatus. The 3D scanning apparatus includes an image sensor and a processor. The image sensor has a first sensing area and a second sensing area. The first sensing area is configured to capture a first set of images of an object. The second sensing area is configured to capture a second set of images of the object. The processor is configured to establish a first model based on the first set of images and to establish a second model based on the second set of images. The processor is further configured to compare a to correspondence between the first model and the second model.

Abstract: The present disclosure relates to a three-dimensional (3D) scanning apparatus and a 3D modeling method. The 3D scanning apparatus includes an image capture element and a processor. The image capture element is configured to capture multiple sets of images of an object. The processor is configured to obtain image information of a first set of image and image information of an Nth set of image of the captured images of the object, compare the image information of the first set of image and the image information of the Nth set of image to obtain corresponding information between the first set of image and the Nth set of image, and determine whether the corresponding information between the first set of image and the Nth set of image is greater than a threshold. If the corresponding information between the first set of image and the Nth set of image is greater than the threshold, the processor is configured to combine the first set of image and the Nth set of image. N is an integer greater than or equal to 2.

Abstract: The method and system for reminding readers of fatigue in reading while using electronic devices are revealed. First use a reading speed calculation module to detect user's reading speed within a period of time when the user is using an electronic with a display to read. The reading speed is related to pages being turned or the amount of words being read. Then a fatigue-in-reading reminder module is activated by the reading speed calculation module when the user's reading speed falls within a specific range so as to remind the user by pop-up windows, sounds, flash light or vibration at the proper time and provide the user certain corresponding measures he/she should take. Thereby there is no need to use additional equipment for preventing users from becoming more fatigue and healthy vision is accomplished at lower cost with higher efficiency.

Abstract: The method and system for reminding readers of fatigue in reading while using electronic devices are revealed. First use a reading speed calculation module to detect user's reading speed within a period of time when the user is using an electronic with a display to read. The reading speed is related to pages being turned or the amount of words being read. Then a fatigue-in-reading reminder module is activated by the reading speed calculation module when the user's reading speed falls within a specific range so as to remind the user by pop-up windows, sounds, flash light or vibration at the proper time and provide the user certain corresponding measures he/she should take. Thereby there is no need to use additional equipment for preventing users from becoming more fatigue and healthy vision is accomplished at lower cost with higher efficiency.