Abstract: An imaging lens assembly includes a plurality of lens elements, a light path folding element and a sheet-like light blocking element. An optical axis is defined via the lens elements. The light path folding element includes an optical surface, and a total reflection of an imaging light of the imaging lens assembly occurs at least once on the optical surface. The sheet-like light blocking element is corresponding to the light path folding element, and the sheet-like light blocking element includes a first surface, a second surface and a microstructure layer. The first surface faces towards the optical surface. The second surface is disposed relatively to the first surface. The microstructure layer is at least disposed on the first surface, and protrusions are formed on the first surface via the microstructure layer. At least partial area between the microstructure layer and the optical surface has an air slit.

Abstract: An imaging lens assembly module includes an imaging lens element set, a light folding element and a plate-shaped light blocking element. The imaging lens element set has an optical axis, and includes a lens element. The light folding element is configured to fold the optical axis at least once, and includes an incident surface, an exit surface and an optical reflecting surface. The plate-shaped light blocking element keeps an air distance between the plate-shaped light blocking element and the light folding element, and includes two layered structures and columnar air structures. The layered structures are corresponding to the light folding element. The columnar air structures are farther away from the light folding element than a surface of the plate-shaped light blocking element from the light folding element, and the surface of the plate-shaped light blocking element faces toward the light folding element.

Abstract: An imaging lens assembly has an optical axis, and includes a plurality of optical elements. The optical elements include a light blocking sheet, and the light blocking sheet includes a through hole surface, a first surface, a second surface, a peripheral surface and a plurality of basin structures. The through hole surface surrounds the optical axis. The first surface and the second surface are connected to and surround the through hole surface. The peripheral surface is connected to the first surface and the second surface, and the peripheral surface is farther from the optical axis than the through hole surface from the optical axis. The basin structures are arranged in interval and around the optical axis, each of the basin structures is caved in from the first surface to the second surface, and each of the basin structures protrudes on the second surface.

Abstract: An imaging lens assembly includes a plurality of optical elements and an accommodating assembly, wherein the accommodating assembly is for containing the optical elements. The accommodating assembly includes a conical-shaped light blocking sheet and a lens barrel. The conical-shaped light blocking sheet includes an out-side portion and a conical portion, and the conical portion is connected to the out-side portion. The conical portion includes a conical structure tapered from the out-side portion toward one of an object-side and an image-side along the optical axis. The lens barrel is disposed on one side of the conical portion. The optical elements include a most object-side optical element, a most image-side optical element and at least one optical element. The conical structure of the conical-shaped light blocking sheet is physically contacted with only one of the lens barrel, the most object-side optical element and the most image-side optical element.

Abstract: An imaging lens assembly includes a plurality of optical elements and an accommodating assembly, wherein the accommodating assembly is for containing the optical elements. The accommodating assembly includes a conical-shaped light blocking sheet and a lens barrel. The conical-shaped light blocking sheet includes an out-side portion and a conical portion, and the conical portion is connected to the out-side portion. The conical portion includes a conical structure tapered from the out-side portion toward one of an object-side and an image-side along the optical axis. The lens barrel is disposed on one side of the conical portion. The optical elements include a most object-side optical element, a most image-side optical element and at least one optical element. The conical structure of the conical-shaped light blocking sheet is physically contacted with only one of the lens barrel, the most object-side optical element and the most image-side optical element.

Abstract: An imaging optical element set has an optical axis, and includes an object-side lens element, an image-side lens element and a light blocking sheet. The light blocking sheet is interposed between the object-side lens element and the image-side lens element, and includes an object-side outer surface, an image-side outer surface, an outer diameter portion, an inner diameter portion and a height compensation structure. The image-side outer surface is opposite to the object-side outer surface. The outer diameter portion has an outer diameter surface connected to the object-side outer surface and the image-side outer surface. The inner diameter portion has an inner diameter surface connected to the object-side outer surface and the image-side outer surface. The height compensation structure is in full circle form, and is for adjusting a height difference between the inner diameter surface and the outer diameter surface along a direction parallel to the optical axis.

Abstract: An image-recognition method is provided. The method includes the following steps: receiving structured data, wherein the structured data includes training-set data and testing-set data, and the structured data includes a plurality of groups, and each group includes one or more types, and each type includes a plurality of check-point images; training an artificial-intelligence (AI) model using the training-set data; inputting the testing-set data into the AI model to obtain a model evaluation of the AI model; and determining one or more first types with a lower overall recognition rate or a lower confidence level in the structured data, and deletes or corrects the check-point images in the one or more first types to update the structured data.

Abstract: An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data; balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data includes training-set data and testing-set data; training an artificial-intelligence (AI) model using the training-set data; and inputting the testing-set data into the AI model to obtain a model evaluation of the AI model.

Abstract: An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data, wherein the first structured data includes a first layer and a second layer, and the first layer indicates the groups in different statuses, the second layer is located with directories of the first layer, and the types in each group of the second layer indicate different components in a status corresponding to each group; and balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data is used to train an AI model for image recognition.

Abstract: An imaging lens assembly has an optical axis, and includes a plurality of optical elements. The optical elements include a light blocking sheet, and the light blocking sheet includes a through hole surface, a first surface, a second surface, a peripheral surface and a plurality of basin structures. The through hole surface surrounds the optical axis. The first surface and the second surface are connected to and surround the through hole surface. The peripheral surface is connected to the first surface and the second surface, and the peripheral surface is farther from the optical axis than the through hole surface from the optical axis. The basin structures are arranged in interval and around the optical axis, each of the basin structures is caved in from the first surface to the second surface, and each of the basin structures protrudes on the second surface.

Abstract: An imaging lens assembly includes a plurality of optical elements and an accommodating assembly, wherein the accommodating assembly is for containing the optical elements. The accommodating assembly includes a conical-shaped light blocking sheet and a lens barrel. The conical-shaped light blocking sheet includes an out-side portion and a conical portion, and the conical portion is connected to the out-side portion. The conical portion includes a conical structure tapered from the out-side portion toward one of an object-side and an image-side along the optical axis. The lens barrel is disposed on one side of the conical portion. The optical elements include a most object-side optical element, a most image-side optical element and at least one optical element. The conical structure of the conical-shaped light blocking sheet is physically contacted with only one of the lens barrel, the most object-side optical element and the most image-side optical element.

Abstract: A medicine management method includes acquiring user information of medicine usage corresponding to at least one assigned medicine; acquiring user information of medicine using reactions; and displaying the user information of medicine usage with first time information corresponding to different time points of using the at least one assigned medicine and the user information of medicine using reactions with second time information corresponding to different time points of occurring medicine using reactions concurrently.

Abstract: An imaging optical element set has an optical axis, and includes an object-side lens element, an image-side lens element and a light blocking sheet. The light blocking sheet is interposed between the object-side lens element and the image-side lens element, and includes an object-side outer surface, an image-side outer surface, an outer diameter portion, an inner diameter portion and a height compensation structure. The image-side outer surface is opposite to the object-side outer surface. The outer diameter portion has an outer diameter surface connected to the object-side outer surface and the image-side outer surface. The inner diameter portion has an inner diameter surface connected to the object-side outer surface and the image-side outer surface. The height compensation structure is in full circle form, and is for adjusting a height difference between the inner diameter surface and the outer diameter surface along a direction parallel to the optical axis.

Abstract: An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data, wherein the first structured data includes a first layer and a second layer, and the first layer indicates the groups in different statuses, the second layer is located with directories of the first layer, and the types in each group of the second layer indicate different components in a status corresponding to each group; and balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data is used to train an AI model for image recognition.

Abstract: An image-recognition method is provided. The method includes the following steps: receiving a plurality of check-point images, and classifying the check-point images into a plurality of groups; classifying the check-point images in each group into a plurality of types to generate first structured data; balancing a number of the check-point images in each type of each group in the first structured data to generate second structured data, wherein the second structured data includes training-set data and testing-set data; training an artificial-intelligence (AI) model using the training-set data; and inputting the testing-set data into the AI model to obtain a model evaluation of the AI model.

Abstract: An image-recognition method is provided. The method includes the following steps: receiving structured data, wherein the structured data includes training-set data and testing-set data, and the structured data includes a plurality of groups, and each group includes one or more types, and each type includes a plurality of check-point images; training an artificial-intelligence (AI) model using the training-set data; inputting the testing-set data into the AI model to obtain a model evaluation of the AI model; and determining one or more first types with a lower overall recognition rate or a lower confidence level in the structured data, and deletes or corrects the check-point images in the one or more first types to update the structured data.

Abstract: A method for preparing a patterned target layer is provided. A target layer is formed over a substrate. A multi-layered hard mask layer is formed over the target layer. The multi-layered hard mask layer includes a first hard mask layer over the target layer, a second hard mask layer between the target layer and the first hard mask layer, and a third hard mask layer between the target layer and the second hard mask layer, wherein a material of the second hard mask layer is different from a material of the first hard mask layer and a material of the third hard mask layer. The multi-layered hard mask layer is used as a hard mask layer to prepare a fine pattern on the target layer.

Abstract: A mobile communication device and a method for managing images, associated geographic location data, and associated supplemental information, in which geographic location data is generated based on a current location of the mobile communication device; a map corresponding to the generated geographic location data is displayed; a plurality of images and associated supplemental information corresponding to each image in a list mode are displayed in a first user interface, wherein the displayed associated supplemental information comprises description information and a street address; a selection of the plurality images, the associated description information, and the associated street address is received; the selected associated location information is displayed in a second user interface, wherein the second user interface comprises an editing mode; and the supplemental information is edited in the edit mode by receiving note information and the note information is associated with the selected associated descri

Abstract: A panorama photographing method, a panorama displaying method and an image capturing method are used in an electronic device. The photographing method includes the following steps. Firstly, a plurality of predefined target positions required to produce a panoramic image are determined. Then, a navigator comprising a plurality of indications representing the plurality of predefined target positions is shown. A plurality of target photographs corresponding to the plurality of predefined target positions are captured and appearance of the plurality of indications according to a capturing status of the plurality of target photographs is changed. Afterwards, the panoramic image is generated according to the plurality of target photographs.

Abstract: A light blocking sheet includes a first outer layer, a second outer layer, an inner substrate layer and a central axis. The first outer layer includes a first opening. The second outer layer includes a second opening. The inner substrate layer is disposed between the first outer layer and the second outer layer. The inner substrate layer connects the first outer layer to the second outer layer, and the inner substrate layer includes a substrate opening. The central axis is coaxial with the first opening, the second opening and the substrate opening.