Abstract: In some embodiments, an image sensor is provided. The image sensor includes a photodetector disposed in a semiconductor substrate. A wave guide filter having a substantially planar upper surface is disposed over the photodetector. The wave guide filter includes a light filter disposed in a light filter grid structure. The light filter includes a first material that is translucent and has a first refractive index. The light filter grid structure includes a second material that is translucent and has a second refractive index less than the first refractive index.

Abstract: The present invention relates to a method for size estimation by image recognition of a specific target using a given scale. First, a reference objected is recognized in an image and the corresponding scale is established. Then the specific target is searched and the size of the specific target is estimated according to the acquired scale.

Abstract: The present invention relates to a method for size estimation by image recognition of a specific target using a given scale. First, a reference objected is recognized in an image and the corresponding scale is established. Then the specific target is searched and the size of the specific target is estimated according to the acquired scale.

Abstract: An image-based vehicle classification system includes a camera and an image server connected to the camera. The camera captures images of a road to result in an image stream. The image server includes a processor for receiving the image stream from the camera. For each of the images of the image stream, the processor performs image segmentation, a thinning process, an erosion process and a dilation process, and classifies, by a neural network classifier, a vehicle image part contained in the image into one of a large-size car class, a passenger car class and a motorcycle class when it is determined that the vehicle image is crossing an imaginary line set in advance in the image for counting vehicles.

Abstract: An image-based vehicle classification system includes a camera and an image server connected to the camera. The camera captures images of a road to result in an image stream. The image server includes a processor for receiving the image stream from the camera. For each of the images of the image stream, the processor performs image segmentation, a thinning process, an erosion process and a dilation process, and classifies, by a neural network classifier, a vehicle image part contained in the image into one of a large-size car class, a passenger car class and a motorcycle class when it is determined that the vehicle image is crossing an imaginary line set in advance in the image for counting vehicles.

Abstract: A method for fabricating a semiconductor structure and a solid precursor delivery system for a semiconductor fabrication is provided, the method including: providing a solid precursor having a first average particle size; solving the solid precursor in an organic solvent into an intermediate; recrystallizing the intermediate to form solid granules, wherein the solid granules has a second average particle size larger than the first average particle size; vaporizing the solid granules to form a film-forming gas; and depositing the film-forming gas on a substrate to form a resistance film.

Abstract: A method for estimating a number of objects is to be implemented by a processing module, and is utilized to estimate a number of a plurality of objects having elongated shapes based on an image of the objects that contains substantially-circular end faces of the objects. The method includes steps of generating a characteristic image based on the image of the objects, the characteristic image containing a plurality of characteristic patterns which are associated with the end faces of the objects, calculating a number of the characteristic patterns based on the characteristic image, and obtaining an estimated number of the objects based on at least the number of the characteristic patterns thus calculated.

Abstract: A method for fabricating a semiconductor structure and a solid precursor delivery system for a semiconductor fabrication is provided, the method including: providing a solid precursor having a first average particle size; solving the solid precursor in an organic solvent into an intermediate; recrystallizing the intermediate to form solid granules, wherein the solid granules has a second average particle size larger than the first average particle size; vaporizing the solid granules to form a film-forming gas; and depositing the film-forming gas on a substrate to form a resistance film.

Abstract: A method for fabricating a semiconductor structure is provided, including: providing a solid precursor having a first average particle size; solving the solid precursor in an organic solvent into an intermediate; recrystallizing the intermediate to form solid granules, wherein the solid granules has a second average particle size larger than the first average particle size; vaporizing the solid granules to form a film-forming gas; and depositing the film-forming gas on a substrate to form a resistance film. A method for modifying a resistance film source in a semiconductor fabrication and a solid precursor delivery system are also provided. The method for fabricating a semiconductor structure in the present disclosure can remove small particles or ultra-small particles from solid precursor, and does not need extra time to dump cracked solid precursor.

Abstract: In a method for monitoring water level of a water body, a monitoring system is configured to: capture a current image that has a portion of the water body, and a remaining portion aside from the portion of the water body; process the current image into a processed image that includes a water body region corresponding to the portion of the water body, and a background region corresponding to the remaining portion of the current image; mark, on the processed image, a plurality of virtual alert points according to a predetermined water level of the water body; determine whether at least one of the virtual alert points is located within the water body region of the processed image; and generate a monitoring result according to the determination thus made.

Abstract: In a method for monitoring water level of a water body, a monitoring system is configured to: capture a current image that has a portion of the water body, and a remaining portion aside from the portion of the water body; process the current image into a processed image that includes a water body region corresponding to the portion of the water body, and a background region corresponding to the remaining portion of the current image; mark, on the processed image, a plurality of virtual alert points according to a predetermined water level of the water body; determine whether at least one of the virtual alert points is located within the water body region of the processed image; and generate a monitoring result according to the determination thus made.

Abstract: A method for estimating a number of objects is to be implemented by a processing module, and is utilized to estimate a number of a plurality of objects having elongated shapes based on an image of the objects that contains substantially-circular end faces of the objects. The method includes steps of generating a characteristic image based on the image of the objects, the characteristic image containing a plurality of characteristic patterns which are associated with the end faces of the objects, calculating a number of the characteristic patterns based on the characteristic image, and obtaining an estimated number of the objects based on at least the number of the characteristic patterns thus calculated.

Abstract: A method for fabricating a semiconductor structure is provided, including: providing a solid precursor having a first average particle size; solving the solid precursor in an organic solvent into an intermediate; recrystallizing the intermediate to form solid granules, wherein the solid granules has a second average particle size larger than the first average particle size; vaporizing the solid granules to form a film-forming gas; and depositing the film-forming gas on a substrate to form a resistance film. A method for modifying a resistance film source in a semiconductor fabrication and a solid precursor delivery system are also provided. The method for fabricating a semiconductor structure in the present disclosure can remove small particles or ultra-small particles from solid precursor, and does not need extra time to dump cracked solid precursor.

Abstract: An electronic device with an image capturing device includes device to detect the functionality and quality of the image capturing device. Images of a first template object and of a different second template object are taken. The detecting device compares image of the first with a first predetermined standard image of the first template object to determine whether the first image possesses certain qualities and compares the image of the second with a second predetermined standard image of the second template object to determine whether the second image possesses the qualities and outputs a result indicating whether or not the image capturing device is acceptable based on whether the first and second images have the certain qualities.

Abstract: The instant disclosure provides an illuminating device and a heat removal device thereof The illuminating device has a heat removal device, and a lighting unit as a heat source. The heat removal device has a core column, and a plurality of fins outwardly extended from a periphery of the core column. The core column is formed with a plurality of heat-dissipating channels through along a longitudinal direction. The lighting unit is disposed on a bottom surface of the core column. The heat generated by the lighting unit enforced the air in the heat-dissipating channels to form an upward airflow. The upward airflow ascends along the heat-dissipating channels and flows outside, thus cool air is drawn inwardly from the bottom end of the heat-dissipating channels to urge the air circulation.