Abstract: Embodiments of this disclosure provide an apparatus and method. As target detection is performed in the detected pedestrian area by directly using the deep learning model, various article belonging to a pedestrian can be accurately detected in an input image.

Abstract: It is a teaching system for remote hydraulic experiments based on combination of virtual and real, belonging to the field of teaching application. In the virtual simulation teaching system for remote hydraulic experiments based on combination of virtual and real, the virtual and real combination part involves that a hydraulic circuit is simulated by a student by remotely calling the Automation Studio software on the experimental platform, the hydraulic circuit is modified and optimized according to the idea of the student, and the hydraulic experimental platform is connected finally to perform actual operations. The system is also added with a network HD ball machine, a network video recorder, a switch, a ball machine bracket, a router and other devices to form a feedback system, so the student can observe the real-time operation of the hydraulic experimental platform through the feedback system.

Abstract: Embodiments of this disclosure provide an arm action identification method and apparatus and an image processing device. A human body detection is performed on an image to obtain multiple key points of the human body in the image. An arm action is identified to be an upward action or a downward action by using a shoulder key point, an elbow key point and a wrist key point in the multiple key points. Arm actions indicative of upward, downward, or forward, actions may be identified based upon, for example, lifting, putting down, holding forward, actions, by using the key points of the human body, thereby achieving computer-level action identification, and lowering complexity of computation.

Abstract: Embodiments of this disclosure provide a smoke detection method and apparatus. The apparatus includes a processor configured to detect foreground blobs in images of a plurality of frames in a video; determine motion areas of detected foreground blobs; determine a first degree of overlapping of the foreground blobs in images of at least two frames, and/or determine a second degree of overlapping of the foreground blobs and motion areas to which the foreground blobs correspond; determine interfering foreground blobs according to the first degree of overlapping and/or the second degree of overlapping; and extract features from motion areas of remaining foreground blobs with the interfering foreground blobs being removed, and detect smoke according to the features. With the embodiments of this disclosure, accuracy of smoke detection may be increased, and false detection resulted from such interfering objects as water blobs, or light spots, etc., may be avoided.

Abstract: Embodiments of this disclosure provide an arm action identification method and apparatus and an image processing device. A human body detection is performed on an image to obtain multiple key points of the human body in the image. An arm action is identified to be an upward action or a downward action by using a shoulder key point, an elbow key point and a wrist key point in the multiple key points. Arm actions indicative of upward, downward, or forward, actions may be identified based upon, for example, lifting, putting down, holding forward, actions, by using the key points of the human body, thereby achieving computer-level action identification, and lowering complexity of computation.

Abstract: Embodiments of this disclosure provide an apparatus and method. As target detection is performed in the detected pedestrian area by directly using the deep learning model, various article belonging to a pedestrian can be accurately detected in an input image.

Abstract: It is a teaching system for remote hydraulic experiments based on combination of virtual and real, belonging to the field of teaching application. In the virtual simulation teaching system for remote hydraulic experiments based on combination of virtual and real, the virtual and real combination part involves that a hydraulic circuit is simulated by a student by remotely calling the Automation Studio software on the experimental platform, the hydraulic circuit is modified and optimized according to the idea of the student, and the hydraulic experimental platform is connected finally to perform actual operations. The system is also added with a network HD ball machine, a network video recorder, a switch, a ball machine bracket, a router and other devices to form a feedback system, so the student can observe the real-time operation of the hydraulic experimental platform through the feedback system.

Abstract: Embodiments of this disclosure provide a smoke detection method and apparatus. The apparatus includes a processor configured to detect foreground blobs in images of a plurality of frames in a video; determine motion areas of detected foreground blobs; determine a first degree of overlapping of the foreground blobs in images of at least two frames, and/or determine a second degree of overlapping of the foreground blobs and motion areas to which the foreground blobs correspond; determine interfering foreground blobs according to the first degree of overlapping and/or the second degree of overlapping; and extract features from motion areas of remaining foreground blobs with the interfering foreground blobs being removed, and detect smoke according to the features. With the embodiments of this disclosure, accuracy of smoke detection may be increased, and false detection resulted from such interfering objects as water blobs, or light spots, etc., may be avoided.

Abstract: The present invention discloses a method of fabricating a heterojunction battery, comprising the steps of: depositing a first amorphous silicon intrinsic layer on the front of an n-type silicon wafer, wherein the n-type silicon wafer may be a monocrystal or polycrystal silicon wafer; depositing an amorphous silicon p layer on the first amorphous silicon intrinsic layer; depositing a first boron doped zinc oxide thin film on the amorphous silicon p layer; forming a back electrode and an Al-back surface field on the back of the n-type silicon wafer; and forming a positive electrode on the front of the silicon wafer. In addition, the present invention further discloses a method of fabricating a double-sided heterojunction battery. In the present invention, the boron doped zinc oxide is used as an anti-reflection film in place of an ITO thin film; due to the special nature, especially the light trapping effect of the boron doped zinc oxide, the boron doped zinc oxide can achieve good anti-reflection.

Abstract: The present invention discloses a method of fabricating a heterojunction battery, comprising the steps of: depositing a first amorphous silicon intrinsic layer on the front of an n-type silicon wafer, wherein the n-type silicon wafer may be a monocrystal or polycrystal silicon wafer; depositing an amorphous silicon p layer on the first amorphous silicon intrinsic layer; depositing a first boron doped zinc oxide thin film on the amorphous silicon p layer; forming a back electrode and an Al-back surface field on the back of the n-type silicon wafer; and forming a positive electrode on the front of the silicon wafer. In addition, the present invention further discloses a method of fabricating a double-sided heterojunction battery. In the present invention, the boron doped zinc oxide is used as an anti-reflection film in place of an ITO thin film; due to the special nature, especially the light trapping effect of the boron doped zinc oxide, the boron doped zinc oxide can achieve good anti-reflection.