Abstract: A scroll compressor includes a discharge guide disposed in a high-pressure part to guide refrigerant discharged from a compression part to a refrigerant discharge pipe, and the discharge guide may extend by a preset height from an inner circumferential surface of a casing constituting the high-pressure part toward one side surface of a high and low pressure separation plate. This can guide discharge refrigerant discharged to the high-pressure part to quickly flow to the refrigerant discharge pipe before being spread in an entire space of the high-pressure part, thereby preventing the high and low pressure separation plate from being overheated by discharge refrigerant of high temperature. This can result in preventing suction refrigerant of a low-pressure part from being heated by heat of discharge refrigerant transferred through the high and low pressure separation plate, thereby reducing a specific volume of the suction refrigerant and improving compressor efficiency.

Abstract: An adaptive automobile meter detection method based on character segmentation cascade classifier which processes threshold segmentation, morphology and connected components analysis on the original image; extracts the pointer based on the contour analysis method, establishes a pointer information list; constructs a character segmentation cascade classifier by combining a HOG/SVM character segmentation classifier, a character filter and a CNN digit classifier. The character segmentation cascade classifiers is used to identify the digit character area of the automobile meter. Region analysis is performed to extract tick marks based on the center of the digit character area. The angular position corresponding to the tick mark is determined. The response value corresponding to the pointer is determined by establishing the Newton interpolation linear description relationship between the pointer angle and the response value and then the meter is classified as pass or fail.

Abstract: An adaptive automobile meter detection method based on character segmentation cascade classifier which processes threshold segmentation, morphology and connected components analysis on the original image; extracts the pointer based on the contour analysis method, establishes a pointer information list; constructs a character segmentation cascade classifier by combining a HOG/SVM character segmentation classifier, a character filter and a CNN digit classifier. The character segmentation cascade classifiers is used to identify the digit character area of the automobile meter. Region analysis is performed to extract tick marks based on the center of the digit character area. The angular position corresponding to the tick mark is determined. The response value corresponding to the pointer is determined by establishing the Newton interpolation linear description relationship between the pointer angle and the response value and then the meter is classified as pass or fail.

Abstract: A multi-type BGA chip visual recognition method using line based clustering to solve the problems of BGA inspection algorithms which have limited applicability, low flexibility caused by template matching, poor robustness to illumination and interferences and high time complexity.

Abstract: A multi-type BGA chip visual recognition method using line based clustering to solve the problems of BGA inspection algorithms which have limited applicability, low flexibility caused by template matching, poor robustness to illumination and interferences and high time complexity.