Abstract: In one embodiment, a system generates an image using either a first or a second image signal processing (ISP) algorithm, where the first or second ISP algorithm is applied to raw image data of a camera of an autonomous driving vehicle (ADV) to generate the image. The system applies a machine learning model to the image to identify a representation of an obstacle, where the machine learning model is generated by a few shots learning algorithm that contrasts labeled data of a positive training sample from images corresponding to the first and second ISP algorithms to labeled data of a negative training sample from images corresponding to the first and second ISP algorithm. The system determines a classification and a location of the obstacle based on the representation of the obstacle. The system plans a motion control of the ADV based on the classification and location of the detected object.

Abstract: A microphone inspection method includes the following steps. Firstly, a sound wave from a speaker is received by an under-test microphone and a reference microphone. Consequently, a first characteristic point distribution chart and a second characteristic point distribution chart are created, respectively. Each of the first characteristic point distribution chart and the second characteristic point distribution chart includes plural characteristic points corresponding to respective normalized frequency values. Then, a characteristic point number difference between a number of the characteristic points of the first characteristic point distribution chart and a number of the characteristic points of the second characteristic point distribution chart within a specified normalized frequency value range is calculated. Consequently, the quality of the under-test microphone is judged according to the characteristic point number difference.

Abstract: An optical analysis method is provided for judging whether a lens and a sensing element of an image pickup device are parallel with each other. The method utilizes a tested image pickup device and a standard image pickup device to shoot an object at the same fixed shooting position to acquire a standard image frame and a tested image frame. According to the difference between the position coordinate value or the area of at least one mark of the standard image frame and the tested image frame, the method can judge whether the tested lens and the tested sensing element of the tested image pickup device are parallel with each other.

Abstract: A microphone inspection method includes the following steps. Firstly, a sound wave from a speaker is received by an under-test microphone and a reference microphone. Consequently, a first characteristic point distribution chart and a second characteristic point distribution chart are created, respectively. Each of the first characteristic point distribution chart and the second characteristic point distribution chart includes plural characteristic points corresponding to respective normalized frequency values. Then, a characteristic point number difference between a number of the characteristic points of the first characteristic point distribution chart and a number of the characteristic points of the second characteristic point distribution chart within a specified normalized frequency value range is calculated. Consequently, the quality of the under-test microphone is judged according to the characteristic point number difference.

Abstract: The present invention discloses a method for image pickup and an image pickup device using the same. The image pickup device includes a lens, an image-processing program, and a user interface. The lens is utilized to obtain a main image by shooting an object. The image-processing program divides the main image into a plurality of sub-image blocks, computes the resolution of every sub-image block, and compares each resolution with a threshold. The user interface displays the compared result of each sub-image block to indicate if the lens and the object are parallel.

Abstract: A method of starting snapping a static scene is applied to a system, which is electrically connected with an image-capturing device and a display device. The display device has a displaying zone for display a visual field of the image-capturing device. After an instruction of setting a block in the displaying zone is received by the system, a skin color coverage percentage of the block is calculated. According to the skin color coverage percentage, the system determines whether the scene within the visual field is stored or not. By the method and system of the present invention, a self-timer function is activated according to the skin color.

Abstract: A method for determining the planting ball number of a camera module is provided. The camera module includes a substrate and a chip. The substrate includes an opening and a plurality of contact pads. The opening of the substrate has four rims. The method includes the following steps. Firstly, an image pickup device is used to detect an average contact pad distance of the distances from four specified contact pads of the substrate to the image pickup device. Then, a smallest opening distance among four opening distances from the four rims to the image pickup device is acquired. Then, plural actual contact pad distances from all contact pads to the image pickup device are acquired. The planting ball number for each contact pad is calculated according to these distances. Consequently, the quality of assembling the camera module is enhanced.

Abstract: A method for determining the planting ball number of a camera module is provided. The camera module includes a substrate and a chip. The substrate includes an opening and a plurality of contact pads. The opening of the substrate has four rims. The method includes the following steps. Firstly, an image pickup device is used to detect an average contact pad distance of the distances from four specified contact pads of the substrate to the image pickup device. Then, a smallest opening distance among four opening distances from the four rims to the image pickup device is acquired. Then, plural actual contact pad distances from all contact pads to the image pickup device are acquired. The planting ball number for each contact pad is calculated according to these distances. Consequently, the quality of assembling the camera module is enhanced.

Abstract: An optical analysis method is provided for judging whether a lens and a sensing element of an image pickup device are parallel with each other. The method utilizes a tested image pickup device and a standard image pickup device to shoot an object at the same fixed shooting position to acquire a standard image frame and a tested image frame. According to the difference between the position coordinate value or the area of at least one mark of the standard image frame and the tested image frame, the method can judge whether the tested lens and the tested sensing element of the tested image pickup device are parallel with each other.

Abstract: A focus-quality judging method includes the following steps. Firstly, a comparing object including a target area is provided. A reference image pickup device is provided to shoot the comparing object to obtain a standard image including a standard target area image. Then, a first pixel number contained in the standard target area image is counted. The comparing object is shot by a test image pickup device to obtain a test image including a test target area image, wherein the test image has the same resolution as the standard image. Then, a second pixel number contained in the test target area image is counted. The first pixel number contained in the standard target area image is compared with the second pixel number contained in the test target area image. According to the comparing results, it is discriminated whether the test image pickup device performs an accurate focusing operation.

Abstract: A portable electronic device for measuring a distance of an object by performing an auto focus function and a distance measuring method are provided. The portable electronic device includes an image pickup module and a distance measuring program. The image pickup module includes a lens, an optical sensing element and a transmission mechanism. The distance measuring program includes a distance look-up table. The distance look-up table is established by correlating a plurality of lens moving step numbers with corresponding object distance values. The auto focus function is performed to capture an image of an object by the image pickup module, thereby obtaining a current lens moving step number required for performing the auto focus function. A current object distance value corresponding to the current lens moving step number is acquired according to the distance look-up table.

Abstract: An image testing method of an image pickup device and an image testing apparatus using such a method are provided. The image testing apparatus is in communication with the image pickup device. The image testing apparatus includes an image processing program, a multi-core processing unit and a storage unit. The image processing program is used for segmenting the main image, which is acquired by the image pickup device, into plural sub-image blocks, and transmitting the sub-image blocks to respective threads. The multi-core processing unit is used for synchronously executing the threads, thereby synchronously analyzing imaging quality of respective sub-image blocks. The storage unit is used for storing analyzing results of respective sub-image blocks. The analyzing results of respective sub-image blocks stored in the storage unit are combined together by the multi-core processing unit, thereby acquiring the imaging quality of the main image.

Abstract: The present invention discloses a method for image pickup and an image pickup device using the same. The image pickup device includes a lens, an image-processing program, and a user interface. The lens is utilized to obtain a main image by shooting an object. The image-processing program divides the main image into a plurality of sub-image blocks, computes the resolution of every sub-image block, and compares each resolution with a threshold. The user interface displays the compared result of each sub-image block to indicate if the lens and the object are parallel.

Abstract: A process for assembling a camera module is provided. Firstly, a first conductive bump and a second conductive bump are placed on a signal terminal of a substrate and a contact pad of an image sensing chip, respectively. Then, the substrate and the image sensing chip are laminated, so that the first conductive bump and the second conductive bump are combined together and the signal terminal of the substrate and the contact pad of the image sensing chip are electrically connected with each other. Then, an underfill is applied to a region between the substrate and the image sensing chip. Since the two conductive bumps are connected with each other by the assembling process, the quality of the camera module of the present invention is enhanced.

Abstract: A method of starting snapping a static scene is applied to a system, which is electrically connected with an image-capturing device and a display device. The display device has a displaying zone for display a visual field of the image-capturing device. After an instruction of setting a block in the displaying zone is received by the system, a skin color coverage percentage of the block is calculated. According to the skin color coverage percentage, the system determines whether the scene within the visual field is stored or not. By the method and system of the present invention, a self-timer function is activated according to the skin color.

Abstract: A portable camera device includes a first casing, a second casing and an extendable mechanism. The second casing contains a lens module and has a lower part connected to a first connecting position of the first casing such that the lens module is arranged above the first casing. The extendable mechanism has a rear end with a document holding structure for holding a document and a front end connected to a second connecting position of the first casing via a first pivotal mechanism. The extendable mechanism is selectively folded or unfolded with respect to the first casing when the extendable mechanism is rotated in various directions by adjusting the first pivotal mechanism. A relative spatial correlation between the lens module and the document is adjusted such that the lens module is focused on a selected area of the document for capturing an image of the document.

Abstract: An image pickup device is connected with a computer. A video program is installed in the computer. The image pickup device includes an image pickup module and a monitor program. The image pickup module is controlled by the video program to capture an image. The image pickup module includes a lens and a shielding cover in front of the lens. When the monitor program detects an execution status of the video program, the shielding cover is driven to move to a position where the lens is not shielded by the shielding cover. When the monitor program detects a non-execution status of the video program, the shielding cover is driven to move to a position where the lens is shielded by the shielding cover.

Abstract: A portable electronic device for measuring a distance of an object by performing an auto focus function and a distance measuring method are provided. The portable electronic device includes an image pickup module and a distance measuring program. The image pickup module includes a lens, an optical sensing element and a transmission mechanism. The distance measuring program includes a distance look-up table. The distance look-up table is established by correlating a plurality of lens moving step numbers with corresponding object distance values. The auto focus function is performed to capture an image of an object by the image pickup module, thereby obtaining a current lens moving step number required for performing the auto focus function. A current object distance value corresponding to the current lens moving step number is acquired according to the distance look-up table.

Abstract: A method for determining whether an auto-focus operation is re-executed and an image pickup device using such a method are provided. The image pickup device includes an image sensor, a register and a back-end chip. According to the automatic exposure value change amount and the automatic gain value change amount in a focusing environment, the back-end chip determines whether the auto-focus operation is re-executed.

Abstract: The invention discloses an adaptive image sharpening method for generating a sharpened image area corresponding to an original image area. The original image area includes a plurality of original pixel values. The method includes blurring the original image area to generate a plurality of blurred pixel values corresponding to the plurality of original pixel values respectively, calculating a plurality of characteristic values corresponding to the plurality of original pixel values respectively, statistically analyzing the plurality of characteristic values to generate a plurality of weighting values corresponding to the plurality of original pixel values respectively, and generating a plurality of sharpened pixel values according to the plurality of original pixel values, the plurality of blurred pixel values, and the plurality of weighting values. The plurality of sharpened pixel values constitutes the sharpened image area.