Abstract: A mask structure with an externally connected filtering device includes a mask body, a unidirectional air seat valve, at least one connecting tube and a filtering device. The mask body is made of an air-impermeable material, can be provided with the unidirectional air seal valve thereon and connected with the filtering device through the connecting tube, so that the mask structure can filter and purify ambient air by the filtering device, and deliver the filtered air to the inner side of the mask body through the connecting tube for a user to inhale. The exhaled air by the user can be expelled through the unidirectional air seal valve to the outer side of the mask body.

Abstract: The invention discloses an exopolysaccharide from Rhodopseudomonas palustris and a method for preparing and use thereof, and the method for preparing comprises the steps of: 1) keeping a seed solution from Rhodopseudomonas palustris GJ-22 in a fermentation medium for fermentation culture to obtain a fermentation broth; 2) centrifuging the fermentation broth to take the supernatant, which is treated by alcohol precipitation after filtration, and then collecting the pellet from alcohol precipitation by centrifugation to obtain crude polysaccharide; 3) removing proteins from the rude polysaccharide using protease enzymolysis method and Sevag method, followed by dialysis treatment with distilled water to remove small molecules and organic solvent to obtain a polysaccharide sample; 4) purifying the polysaccharide sample through an anion exchange column and a molecular exclusion chromatography column obtain the exopolysaccharide from Rhodopseudomonas palustris.

Abstract: An insulin-dosage detection device is arranged on a rotation member of an insulin injection pen having an injection button. The rotation variation of the rotation member corresponds to the injection dosage of the insulin injection pen. The insulin-dosage detection device has a circuit, a detection button, and a processor. The circuit, arranged on the rotation member of the insulin injection pen, outputs electronic signals in response to rotation of the rotation member. The detection button is connected to the injection button. The rotation member of the insulin injection pen rotates in response to the detection button and the injection button being pressed. The circuit rotates along with the rotation member. The processor, coupled to the circuit, calculates the rotation variation of the rotation member according to a first electronic signal and a second electronic signal respectively output from the circuit before and after the rotation of the circuit.

Abstract: A lens matching apparatus and a lens matching method are provided. In the method, respective modulation transfer function (MTF) values corresponding to multiple focus lengths of each lens are obtained, a maximum MTF value among the focus lengths of each lens is determined, and lenses are classified according to the maximum MTF value. Each MTF value is determined based on at least one first pixel having maximum light intensity and at least one second pixel having minimum light intensity. Accordingly, the lenses with the same clearness may be classified into the same group, so as to improve image-stitching and speed up the image-stitching.

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: An information collection method for an injection pen includes several steps as follows. The action of the pressing knob is sensed to determine whether the rotation information of the pressing knob is obtained. The traveling movement of the injection pen is sensed to determine whether the movement information of the injection pen is obtained. A determination is made that the traveling movement of the injection pen is conformed as an intending injection action according to the rotation information of the pressing knob and the movement information of the injection pen. When the traveling movement of the injection pen is conformed as the intending injection action, an actual injection dose that the injection content is pushed outwards from the injection pen is calculated according to the rotation information of the pressing knob. The actual injection dose is recorded.

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: An image stitching apparatus and an operation method thereof are provided. The image stitching apparatus includes a stitching distance determining circuit and a stitching circuit. The stitching distance determining circuit dynamically determines the stitching distance according to the reference information related to the plurality of original images. The stitching circuit is coupled to the stitching distance determining circuit to receive the stitching distance. The stitching circuit image stitches the original images using a stitching distance to generate a stitched image.

Abstract: A method for distinguishing plaque and calculus is provided. The method is used in a device and includes the following steps: emitting, by a blue light-emitting diode, blue light to illuminate teeth in an oral cavity, wherein the blue light is used to generate autofluorescence of plaque and calculus on the teeth; sensing, by an image sensor, the autofluorescence of plaque and calculus; and distinguishing, by a processor, a plaque area and a calculus area on the teeth based on the autofluorescence.

Abstract: A facial stroking detection method includes a detecting step and a determining step. The detecting step includes a pre-processing step, a feature extracting step and a feature selecting step. In the pre-processing step, an image is captured by an image capturing device, and the image is pre-processed so as to obtain a post-processing image. In the feature extracting step, a plurality of image features are extracted from the post-processing image so as to form an image feature set. In the feature selecting step, a determining feature set is formed by selecting a part of the image features from the image feature set and entered into a classifier. In the determining step, wherein the classifier provides a determining result according to the determining feature set.

Abstract: An image processing method for a fluorescence reaction region of teeth. The image processing method includes emitting blue light from a light source to illuminate the teeth in a mouth, so that the teeth generate fluorescence; capturing a first teeth image of the teeth by an image capturing unit; separating the first teeth image into a first red-value image, a first green-value image, and a first blue-value image by a processing unit; transforming the first red-value image into a second red-value image by the processing unit using a pixel value transforming function; and combining the second red-value image, the first green-value image, and the first blue-value image into a second teeth image by the processing unit.

Abstract: A method for dynamically adjusting fluorescent imaging is provided. The method is used in a device and includes the following steps: emitting, by a light emitting diode, light to illuminate teeth in an oral cavity, wherein the light is used to generate fluorescence from the teeth; filtering, by an optical filter, the fluorescence; receiving, by an image sensor, a signal and adjusting a gain value of an analog-to-digital converter according to the signal; converting, by the analog-to-digital converter, the filtered fluorescence into a digital signal and adjusting the digital signal according to the gain value; and generating, by a processor, an output image signal that corresponds to the gain value from the digital signal.

Abstract: An image-processing method for marking plaque fluorescent reaction areas is provided, including: obtaining a first RGB image of a mouth region; obtaining a second RGB image of the mouth region; respectively converting the first RGB image and the second RGB image into a first HSV image and a second HSV image; obtaining a first average brightness value of the first HSV image and a second average brightness value of the second HSV image; normalizing the first average brightness value or the second average brightness value according the first average brightness value and the second average brightness value to obtain a normalized image; converting the normalized image into a third RGB image, and obtaining a plurality of pixel points of the dental plaque according to the third RGB image and the first RGB image or the second RGB image; and marking the pixel points in the third RGB image.

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: An electronic device including a bendable base, a plurality of camera modules, a sensing module and a processing module is provided. The camera modules are mounted on the base, and may capture a plurality of images corresponding to different fields of view. The sensing module is coupled to the base for detecting a physical bending information of the base. The processing module is coupled to the camera module and the sensing module for estimating a bending angle of the base according to the physical bending information, obtaining an overlapping information of the images according to the bending angle, and stitching the images according to the overlapping information to create a stitched image.

Abstract: A facial stroking detection method includes a detecting step and a determining step. The detecting step includes a pre-processing step, a feature extracting step and a feature selecting step. In the pre-processing step, an image is captured by an image capturing device, and the image is pre-processed so as to obtain a post-processing image. In the feature extracting step, a plurality of image features are extracted from the post-processing image so as to form an image feature set. In the feature selecting step, a determining feature set is formed by selecting a part of the image features from the image feature set and entered into a classifier. In the determining step, wherein the classifier provides a determining result according to the determining feature set.

Abstract: Doped titanium niobate is provided, which has a chemical structure of Ti(1-x)M1xNb(2-y)M2yO(7-z)Qz or Ti(2-x?)M1x?Nb(10-y?)M2y?O(29-z?)Qz?, wherein M1 is Li, Mg, or a combination thereof; M2 is Fe, Mn, V, Ni, Cr, or a combination thereof; Q is F, Cl, Br, I, S, or a combination thereof; 0?x?0.15; 0?y?0.15; 0.01?z?2; 0?x??0.3; 0?y??0.9; and 0.01?z??8.

Abstract: A molding device includes a lower mold seat including a lower mounting portion, a lower die core assembly mounted in the lower mounting portion and including a lower die core unit defining a mold cavity, an upper mold seat including an upper mounting portion, an upper die core assembly mounted in the upper mounting portion and including an upper die core unit covering the mold cavity, and upper and lower heating units respectively including upper and lower high-frequency heating members respectively inducing eddy current in at least one of the lower die core unit and the lower mold seat and at least one of the upper die core unit and the upper mold seat.

Abstract: An image processing method for a fluorescence reaction region of teeth. The image processing method includes emitting blue light from a light source to illuminate the teeth in a mouth, so that the teeth generate fluorescence; capturing a first teeth image of the teeth by an image capturing unit; separating the first teeth image into a first red-value image, a first green-value image, and a first blue-value image by a processing unit; transforming the first red-value image into a second red-value image by the processing unit using a pixel value transforming function; and combining the second red-value image, the first green-value image, and the first blue-value image into a second teeth image by the processing unit.

Abstract: An image-processing method for marking plaque fluorescent reaction areas is provided, including: obtaining a first RGB image of a mouth region; obtaining a second RGB image of the mouth region; respectively converting the first RGB image and the second RGB image into a first HSV image and a second HSV image; obtaining a first average brightness value of the first HSV image and a second average brightness value of the second HSV image; normalizing the first average brightness value or the second average brightness value according the first average brightness value and the second average brightness value to obtain a normalized image; converting the normalized image into a third RGB image, and obtaining a plurality of pixel points of the dental plaque according to the third RGB image and the first RGB image or the second RGB image; and marking the pixel points in the third RGB image.