Abstract: Provided are a medical image analyzing system and a method thereof, which mainly crop a plurality of image patches from a processed image including a segmentation label corresponding to a location of an organ, train a deep learning model with the image patches to obtain prediction values, and plot a receiver operating characteristic curve to determine a threshold which determines whether the image patches are cancerous, thereby effectively improving the detection rate of cancer.

Abstract: There is provided a moving robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the moving robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the moving robot to avoid collision with an object during operation.

Abstract: An optical detection device includes a substrate, a housing, an optical modulating component, an optical sensor and a cover. The housing is disposed on the substrate and includes a first aperture. The housing is unvaried due to inspection standard or design requirement of the optical detection device. The optical modulating component is disposed on the housing and aligning with the first aperture. The optical sensor is disposed on the substrate and adapted to receive an optical signal passing through the optical modulating component and the first aperture. The cover is disposed on the housing to cover the first aperture. The cover is replaceable for attaching the cover varied for the inspection standard or the design requirement to the unvaried housing in response to a surface of the cover opposite to the housing matched and engaged with a light penetrating area on the optical navigation apparatus.

Abstract: A method for detecting a dangerous driving condition for a vehicle is provided. A camera device is used to capture a moving image of surroundings of the vehicle, and the moving image has at least one target object therein and is defined with a caution region. A processing unit is used to determine, based on the moving image, whether a number of times the at least one target object in the moving image weaves in and out of the caution region satisfies a caution condition, and to control a notification device to output a warning notification to notify a driver of the vehicle that the vehicle is in a dangerous driving condition upon determining that the caution condition is satisfied.

Abstract: An optical detection device is applied to an optical finger navigation apparatus and suitable for a variety of appearance demands in order to simplify product qualification procedure. The optical detection device includes a substrate, a housing, an optical sensor and a cover. The housing is disposed on the substrate and comprising a first aperture. The optical sensor is disposed on the substrate and adapted to receive an optical signal through the first aperture. The cover is disposed on the housing to cover the first aperture. The cover has a first surface and a second surface opposite to each other. The first surface with a contour matched with a shape of the housing is attached to the housing, and the second surface with a contour manufactured for a predefined appearance demand does not affect conjunction between the housing and the cover.

Abstract: There is provided a cleaning robot including a first light source module and a second light source module respectively project a first light section and a second light section, which are vertical light sections, in front of a moving direction, wherein the first light section and the second light section cross with each other at a predetermined distance in front of the cleaning robot so as to eliminate a detection dead zone between the first light source module and the second light source module in front of the cleaning robot to avoid collision with an object during operation.

Abstract: A medical image analyzing system and a medical image analyzing method are provided and include inputting at least one patient image into a first model of a neural network module to obtain a result having determined positions and ranges of an organ and a tumor of the patient image; inputting the result into a second model of a first analysis module and a third model of a second analysis module, respectively, to obtain at least one first prediction value and at least one second prediction value corresponding to the patient image; and outputting a determined result based on the first prediction value and the second prediction value. Further, processes between the first model, the second model and the third model can be automated, thereby improving identification rate of pancreatic cancer.

Abstract: A medical image analyzing system and a medical image analyzing method are provided and include inputting at least one patient image into a first model of a first neural network module to obtain a result having determined positions and ranges of an organ and a tumor of the patient image; inputting the result into a plurality of second models of a second neural network module, respectively, to obtain a plurality of prediction values corresponding to each of the plurality of second models and a model number predicting having cancer in the plurality of prediction values; and outputting a determined result based on the model number predicting having cancer and a number threshold value. Further, processes between the first model and the second models can be automated, thereby improving identification rate of pancreatic cancer.

Abstract: A pressure detection device of detecting a forced state of a deformable object includes a body, an image sensor and a processor. The body is a deformable hollow structure. The body has an inner surface and an outer surface, and an identifiable vision feature is disposed on the inner surface. The image sensor is disposed inside the body and faces the inner surface of the body, and is adapted to capture a frame containing the identifiable vision feature on the inner surface. The processor is electrically connected with the image sensor, and adapted to analyze position variation of the identifiable vision feature within the captured frame for identifying a motion type of a gesture applied to the outer surface of the body.

Abstract: An optical detection device is applied to an optical finger navigation apparatus and suitable for a variety of appearance demands in order to simplify product qualification procedure. The optical detection device includes a substrate, a housing, an optical sensor and a cover. The housing is disposed on the substrate and comprising a first aperture. The optical sensor is disposed on the substrate and adapted to receive an optical signal through the first aperture. The cover is disposed on the housing to cover the first aperture. The cover has a first surface and a second surface opposite to each other. The first surface with a contour matched with a shape of the housing is attached to the housing, and the second surface with a contour manufactured for a predefined appearance demand does not affect conjunction between the housing and the cover.

Abstract: A joystick has a related control method to provide displayed object control function. The joystick includes a body, an image sensor and a processor. The body has a deformable bottom surface whereon a pattern is disposed. The image sensor is disposed under the body and adapted to capture a frame about the pattern. The processor is electrically connected with the image sensor and adapted to generate a displayed object control signal according to pattern variation within the frame.

Abstract: A method for detecting a dangerous driving condition for a vehicle is provided. A camera device is used to capture a moving image of surroundings of the vehicle, and the moving image has at least one target object therein and is defined with a caution region. A processing unit is used to determine, based on the moving image, whether a number of times the at least one target object in the moving image weaves in and out of the caution region satisfies a caution condition, and to control a notification device to output a warning notification to notify a driver of the vehicle that the vehicle is in a dangerous driving condition upon determining that the caution condition is satisfied.

Abstract: The disclosure is related to a system for obstacle detection adapted to a self-guiding machine. The system includes a controller for driving the system, a light emitter, and a light sensor. The light emitter and the light sensor are set apart at a distance. When the light emitter emits an indicator light being a vertical linear light projected onto a path the self-guiding machine travels toward, the light sensor senses the indicator light. The vertical linear light is segmented into a first segment projected to a ground and a second segment projected to a floating obstacle when the self-guiding machine approaches the floating obstacle with a height from the ground and the indicator light is projected to the floating obstacle, in which the second segment of the light sensed by the light sensor is determined as the floating obstacle in front of the self-guiding machine.

Abstract: Provided is a medical image analyzing system and a method thereof, which includes: acquiring a processed image having a segmentation label corresponding to a cancerous part of an organ (if present), generating a plurality of image patches therefrom, performing feature analysis on the image patches and model training to obtain prediction values, drawing a receiver operating characteristic curve using the prediction values, and determining a threshold with which determines whether the image patches are cancerous, so as to effectively improve the detection rate of, for example, pancreatic cancer.