Hon Hai Precision Industry Co., Ltd.

Yueh Chang

Chin-Pin Kuo

Guo-Chin Sun

Tzu-Chen Lin

Chung-yu Wu

For the benefit of pedestrians, a method for identifying and locating positions of obstacles moving on a pedestrian sidewalk acquires an image of the sidewalk and processes the image to divide it. The divided image comprises classifications of objects in the image on a pixel by pixel basis. The classifying of objects in the divided image comprises the sidewalk classification, and classification of the obstacles appears in the image. Pixels surrounding the obstacles are acquired in terms of number and classifications. Positions of the obstacles are determined based on a preset threshold, the classifications of adjacent pixels of the obstacles, and the pixel number of the adjacent pixel in each object classification. An apparatus and a system applying the method are also disclosed.

Method for locating position of obstacles, and apparatus, and system applying method

In an image processing method, a detection image and a marked image are obtained. An image segmentation model is applied to segment a first segmented image from the detection image. The first segmented image is corrected according to the marked image to obtain a second segmented image. A size of the second segmented image is adjusted to obtain an adjusted segmented image. The adjusted segmented image is used as a standard segmented image of the detection image. The method improves accuracy of image segmentation and recognition.

Image processing method and computing device

A method for detecting defects in working CNC tools in real time, implemented in an electronic device, includes acquiring sounds of operation of a tool during a cutting or other operation process and dividing the acquired cutting sounds into a plurality of recordings of audio according to a preset time interval. Time-frequency features of the plurality of recordings of audio are acquired according to multiple feature transformation methods and a fusion feature image of the cutting sound is formed according to the extracted time-frequency features. A tool detection model is generated by training the fusion feature image, and any defects of the tool and any defect types the tool has are detected according to the tool detection model.

Electronic device and method for detecting tool state based on audio

A method for evaluating environment and surroundings of a pedestrian passageway, used in an electronic device, obtains a position information of a target area, and obtains a streetscape image corresponding to the position information of the area. The method further inputs the streetscape image into a trained convolutional neural network, makes the trained convolutional neural network carry out a convolution calculation of the streetscape image to generate a feature vector for classifying a number of target objects in the streetscape image, and outputs the feature vector. The feature vector is input into a full convolution neural network to apply a certain color to a number of pixels belonging to a same target object, and outputs the streetscape image with colored target objects.

Method for evaluating environment of a pedestrian passageway and electronic device using the same

In a method for promoting timely collection of cells being cultured in a vessel, image of the vessel and contents is obtained. A cell counting result, a sum of areas of unoccupied background regions, and a sum of area of cell-occupied regions are obtained based on the image. A specified cell collection range is obtained based on expected culturing time. A collection promoting instruction is generated when the cell counting result is in the specified cell collection range or when the sum of areas of unoccupied background regions is less than the specified cell collection area threshold value. A system applying the method is also provided.

Method for prompting efficient collection of cells from culture vessels and system applying the method

A method for navigating a pedestrian, implemented in an electronic device, includes, capturing images of an environment of a road around the pedestrian at preset time intervals in response to a navigation request from a mobile device carried by the pedestrian, and determining whether at least one first obstacle exists on a path of the pedestrian according to the captured images. Other pedestrians may be recognized in each image, and a movement track of the other pedestrian may be determined. Determine whether at least one second obstacle exists on the road and determine that at least one second obstacle exists on the road if the other pedestrian is deviating from a single direction. An obstacle avoidance prompt is sent to the mobile device if first obstacle and/or second obstacle exist on the road.

Electronic device and method for navigating pedestrian

In a method of distinguishing objects in images, a first image segmentation model is applied to segment a first segmented image including a first object from a test image. A second image segmentation model is applied to segment a second segmented image including a second object from the test image. A third segmented image marking the first object and the second object is obtained according to first coordinates of the first object in the first segmented image and/or second coordinates of the second object in the second segmented image. The method can segment different objects from an image quickly and accurately.

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Taipei, Taiwan

Yueh Chang