43results about How to "No human interaction required" patented technology

The utility model relates to an embedded three-dimensional digital imaging device and method, comprising a signal processing board arranged to a LCD, a digital projection unit and a sensor unit respectively to form an integral three-dimensional digital imaging device. The method of the device is as the below: (1) the digital projector is controlled by the signal processing board to generate spatial carrier-structured lighting that carrier fringe patterns are projected on the surface of the object; (2) coded fringe patterns on the surface of the object acquired by the CCD or CMOS sensor unit are collected by the signal processing board; (3) automatic fringe analysis is conducted by the embedded digital signal processor DSP assembled by the signal processing board to work out a phase distribution diagram relevant to height of the object and a three-dimensional digital image of the object; the DSP application program comprises five modules, namely, the main function module, the fringe processing task module, the spatial carrier fringe projection module, the coded fringe collection module and the image display module. The utility model has the advantages of high integrity, fast imaging, low power consumption and ability to realize fast three-dimensional digital imaging with multiple resolutions.

The invention discloses a sitting posture real-time detection method based on double cameras. The method comprises the following steps of calibrating internal and external parameters of cameras; acquiring a human body sitting posture stereo image through a binocular camera; performing stereo matching for the acquired stereo image, keeping a point cloud in a set range as a potential human body part point cloud; projecting the segmented human body part point cloud in the acquired image to perform image-based human face and human eye detection; judging whether the human faces are detected; judging whether an image rotation angle is greater than a set threshold value; judging whether the human eyes are detected; calling rotation transformation R2 of a calibrated camera coordinate system relative to a vertical plane, and calculating out vertical distance between the human eyes and the cameras through a three-dimensional point cloud nearby the human eyes; adding the set distance between the binocular camera and a desk surface and the distance between the human eyes and the cameras together to obtain the vertical distance between the human eyes and the desk surface; and judging whether the vertical distance between the human eyes and the desk surface is greater than a set vertical distance threshold value. The sitting posture real-time detection method based on double cameras automatically detects human body sitting posture in real time and judges whether the sitting posture is correct or not.

The invention relates to a mileometer and magnetic sensor-based two wheel balance vehicle path correcting device and method. The device comprises a controller, a two wheel balance vehicle driving mechanism, two mileometers, two magnetic sensors and a plurality of correction zones that are all interconnected; the two mileometers and the two magnetic sensors are respectively connected with the controller; a mileometer and a magnetic sensor are respectively mounted on a left wheel and a right wheel of the two wheel balance vehicle, and each correction zone comprises two magnetic stripes that are not parallel to each other and do not intersect with each other; the magnetic stripes are fixed on the ground and intersect with a standard path of the two-wheel balance vehicle. Compared with technologies of the prior art, the magnetic sensor s and the mileometers are adopted in the mileometer and magnetic sensor-based two wheel balance vehicle path correcting device for determining a position and a posture of the two-wheel balance vehicle, deviation can be obtained via comparison with standard data, path correcting operation can be performed, and magnetic rails or magnetic stripes do not need to be laid on a full road segment; the two wheel balance vehicle path correcting device which is high in real-time property and low in cost is easy to install and cannot be easily affected by environment.

Disclosed are a method and system for generating a computer sketch image, the method comprising: S1, receiving an image to be processed, and judging whether the image is a color image or a gray scale image, if the image is a color image, then executing step S2, and if the image is a gray scale image, then executing step S3; S2, converting the color image into a gray scale image; S3, setting the gray scale image as a background image layer; S4, reversing the phase of the gray scale image to obtain a reverse phase image; S5, performing minimum gray scale expansion processing on the reverse phase image, and setting the image having undergone the expansion processing as a foreground image layer; S6, blending the foreground image layer with the background image layer to obtain a sketch image. The sketch image generated by the technical solution of the present invention has a good sketch effect, eliminating the need for manual interactive operation during the entire generation process.

The invention targets the application of GF-4 satellite image preprocessing and especially the application of cloud and cloud shadow detection, and provides a sequence image automatic relative registration method. For sequence images in the same geographic area, the roughly relative position relationship of the images is determined based on the approximate latitude and longitude coordinates of the four corners of the images. The retrieval scope of image block automatic matching is determined according to the positioning error. Through secondary block automatic matching, control point data is obtained, and a linear function is fitted out. The sequence images are relatively registered through different linear functions, which is different from the traditional satellite image pixel-by-pixel registration. The latter needs system geometric correction, geometric precision correction and multiple times of image interpolation and re-sampling. The process is simplified, and grid parallelization is fully considered. The method can meet the requirement for engineering-oriented rapid processing of massive data.