Abstract: A system for testing performance of mobile Radio Frequency Identification tags, comprising: a test device including a mobile car and a test channel; the test channel comprises a magnetic label on a ground for labeling a test driving route of the mobile car and a framework fixed on to the ground and provided with a reading device for the RFID tags; a magnetic recognition device is provided at a bottom of the mobile car to identify to the magnetic label and the mobile car is driven along the test driving route; the plurality of RFID tags are fixed on under-test goods loaded on the mobile car; a testing equipment configured to control the reading device to identify the RFID tags fixed on under-test goods; wherein the RFID tags are fixed on to under-test goods which are loaded on the mobile car. The performance test experiment of identifying RFID tags is repeated to get the best recognition rate by adjusting the status of the reader and reader antennas and the speed of the mobile car.

Abstract: A system for testing performance of mobile Radio Frequency Identification tags, comprising: a test device including a mobile car and a test channel; the test channel comprises a magnetic label on a ground for labeling a test driving route of the mobile car and a framework fixed on to the ground and provided with a reading device for the RFID tags; a magnetic recognition device is provided at a bottom of the mobile car to identify to the magnetic label and the mobile car is driven along the test driving route; the plurality of RFID tags are fixed on under-test goods loaded on the mobile car; a testing equipment configured to control the reading device to identify the RFID tags fixed on under-test goods; wherein the RFID tags are fixed on to under-test goods which are loaded on the mobile car. The performance test experiment of identifying RFID tags is repeated to get the best recognition rate by adjusting the status of the reader and reader antennas and the speed of the mobile car.

Abstract: An apparatus for testing the performance of Radio Frequency Identification (RFID) system, comprising: a drive motor, that is driven according to a preset speed; a turntable, that is fixed on to a plane of drive motor, said turntable including a gadget to fasten the label, the gadget makes the under-test label perpendicular to the plane and rotates with the turntable; a reader antenna, that is set to a fixed position around the turntable and connected to the under-test reader, wherein direction of main lobe axes of the reader antenna and direction of the main lobe axes of antenna built in the under-test label are in the same plane. The present invention utilizes circular motion in the lab to simulate rectilinear motion in the practical application. The present invention reduces the volume of RFID test device and the space in the lab, and improves the flexibility of the test.

Abstract: An apparatus for testing the performance of Radio Frequency Identification (RFID) system, comprising: a drive motor, that is driven according to a preset speed; a turntable, that is fixed on to a plane of drive motor, said turntable including a gadget to fasten the label, the gadget makes the under-test label perpendicular to the plane and rotates with the turntable; a reader antenna, that is set to a fixed position around the turntable and connected to the under-test reader, wherein direction of main lobe axes of the reader antenna and direction of the main lobe axes of antenna built in the under-test label are in the same plane. The present invention utilizes circular motion in the lab to simulate rectilinear motion in the practical application. The present invention reduces the volume of RFID test device and the space in the lab, and improves the flexibility of the test.

Abstract: The present application relates to a method, an apparatus and a storage medium for locating QR codes. For automatically locating a plurality of QR codes in image of any size, the invention provides an apparatus for locating at least one QR code in an image, comprising: characteristic ratio detection means for detecting the potential QR code location symbol areas by carrying out a plurality of detections for detecting the characteristic ratio of the QR code; critical edge detection means for detecting the critical edges of the potential QR code location symbol areas so that the false areas are excluded; location symbol grouping means for matching the detected QR code location symbol areas into potential QR codes; and verification means for excluding the false QR codes. The invention also provides a corresponding method for locating at least one QR code.

Abstract: The present invention provides a unique method, apparatus, system and storage medium for image binarization process, wherein an image to be processed is divided into a plurality of sub-images and an binarization threshold for each of the sub-images is determined based on the gray-levels of the edge pixels detected in respective sub-image. The image processing method of the present invention comprises: calculating a gray-level statistical distribution of pixels of an image, detecting edge pixels in an image based on an edge criterion corresponding to the gray-level statistical distribution, dividing the image into a plurality of sub-images; determining a binarization threshold for each of the sub-images based on the gray-levels of edge pixels detected in the sub-image; and performing binarization process for each of the sub-images based on the binarization threshold of the sub-image.

Abstract: A method for detecting edges in an image is disclosed along with corresponding apparatus and system for accurately extracting edges in the image. The edge detecting apparatus comprises a reading means, an image gray-level statistical means, an image classification means, a segmenting threshold generating means, an edge criterion determining means, and an image edge extracting means. The present invention realizes a reliable and accurate method for detecting edges in an image so as to extract edges in various file images.

Abstract: The present application relates to a method, an apparatus and a storage medium for locating QR codes. For automatically locating a plurality of QR codes in image of any size, the invention provides an apparatus for locating at least one QR code in an image, comprising: characteristic ratio detection means for detecting the potential QR code location symbol areas by carrying out a plurality of detections for detecting the characteristic ratio of the QR code; critical edge detection means for detecting the critical edges of the potential QR code location symbol areas so that the false areas are excluded; location symbol grouping means for matching the detected QR code location symbol areas into potential QR codes; and verification means for excluding the false QR codes. The invention also provides a corresponding method for locating at least one QR code.

Abstract: A method for detecting edges in an image is disclosed along with corresponding apparatus and system for accurately extracting edges in the image. The edge detecting apparatus comprises a reading means, an image gray-level statistical means, an image classification means, a segmenting threshold generating means, an edge criterion determining means, and an image edge extracting means. The present invention realizes a reliable and accurate method for detecting edges in an image so as to extract edges in various file images.

Abstract: The present invention provides a unique method, apparatus, system and storage medium for image binarization process, wherein an image to be processed is divided into a plurality of sub-images and an binarization threshold for each of the sub-images is determined based on the gray-levels of the edge pixels detected in respective sub-image. The image processing method of the present invention comprises: calculating a gray-level statistical distribution of pixels of an image, detecting edge pixels in an image based on an edge criterion corresponding to the gray-level statistical distribution, dividing the image into a plurality of sub-images; determining a binarization threshold for each of the sub-images based on the gray-levels of edge pixels detected in the sub-image; and performing binarization process for each of the sub-images based on the binarization threshold of the sub-image.