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108 results about "Virtual body" patented technology

Hardware neural network conversion method, computing device, compiling method and neural network software and hardware collaboration system

The invention provides a hardware neural network conversion method which converts a neural network application into a hardware neural network meeting the hardware constraint condition, a computing device, a compiling method and a neural network software and hardware collaboration system. The method comprises the steps that a neural network connection diagram corresponding to the neural network application is acquired; the neural network connection diagram is split into neural network basic units; each neural network basic unit is converted into a network which has the equivalent function with the neural network basic unit and is formed by connection of basic module virtual bodies of neural network hardware; and the obtained basic unit hardware networks are connected according to the splitting sequence so as to generate the parameter file of the hardware neural network. A brand-new neural network and quasi-brain computation software and hardware system is provided, and an intermediate compiling layer is additionally arranged between the neural network application and a neural network chip so that the problem of adaptation between the neural network application and the neural network application chip can be solved, and development of the application and the chip can also be decoupled.
Owner:TSINGHUA UNIV

Method for achieving industrial robot off-line programming based on three-dimensional modeling software

The invention discloses a method for achieving industrial robot off-line programming based on three-dimensional modeling software. The principle of the method is that a three-dimensional modeling software application programming interface (API) which is suitable for COM or object linking and embedding (OLE) and the like is used in the three-dimensional modeling software environment, model and space matrix data in the three-dimensional modeling software are obtained, a robot virtual body model and a mathematical model are built, and a virtual robot motion control system is realized; discretization from a curve to a point is conducted through obtained space line data, and therefore a motion trail of a robot is generated, actual robot operation is simulated; and an industrial robot controller operational procedure generating module is built, an actual controller executable file is generated and lead out so as to be operated in an actual robot controller, and industrial robot off-line programming can be achieved. The method can achieve off-line programming operation rapidly and generate optimal gesture of corresponding points automatically, time for generating training data is short, and a space curve trail can be achieved conveniently and rapidly, wherein a basis of the space curve trail is difficult to find in reality to conduct teaching.
Owner:NANJING ESTUN ROBOTICS CO LTD

Method for observation of a person in an industrial environment

Manufacturing processes profit greatly from a close collaboration between human and machine. Whereas a human behaves flexibly and adaptively but is inclined to make mistakes during repetitive work operations, machines operate quickly and exactly but are static and not very flexible. In order to enable an improved hazard protection in the context of a safe human-machine interaction, a spatial- and time-dependent variable degree of hazard is allocated to monitored spatial areas as a function of the current position and the current movement state of a machine or a machine element, as well as of the observed person. For this purpose, a multicamera system is used to acquire image data of the person in order to obtain the most detailed information possible about the position and alignment of a person, in particular also with reference to the body parts thereof, in an industrial environment. These image data are then examined with regard to the imaging of a person so that whenever a person has been detected in the image data, an articulated virtual 3D model of the human body is matched to this person hypothesis. Subsequently, this virtual body model is continuously matched to the movement behavior of the person detected in the image data. A hazard potential is determined using knowledge of the position and the movement behavior of the virtual body model in space. The hazard potential thus determined is subjected to a threshold value comparison in order to act upon the movement control of the machine or the machine part in the event of this threshold value being exceeded.
Owner:PILZ (COMPANY)

Three-dimensional virtual dressing method of clothes for real person

The invention relates to a three-dimensional virtual dressing method of clothes for a real person, relating to the technical fields of digital clothing design. The system is characterized in that an object of the three-dimensional virtual dressing of the clothes is three-dimensional real-person body model structured according to the three-dimensional measuring data of the real person. A three-dimensional body measuring system measures the data of the real-person body of a consumer, the figure curve characteristic and the face characteristic, and guides the data into a three-dimensional dressing system; the original standard body model of the three-dimensional dressing system is corrected according to the data of the real person in the three-dimensional dressing system, and the three-dimensional real-person body model is showed virtually so as to lead the virtual body model to embody the figure characteristic and the face characteristic of the real person; the consumer and a designer decide the style, the fabric and the color design data by two-way selection, guide the data into a tailor-making system, complete the design of clothes and generate individual clothes sample pieces automatically; ready-made clothes are sewn virtually, and when the clothes are worn on the three-dimensional real-person body model, the individual dressing effect is intuitively displayed; and the design level and design efficiency of clothes are greatly improved.
Owner:SHANGHAI UNIV OF ENG SCI

Cervical cell image segmentation method based on antagonistic generation network

The invention discloses a cervical cell image segmentation method based on an antagonistic generation network, comprising the following steps: a cell image is coarsely segmented, wherein for the cellimage coarse segmentation, a threshold method and a watershed algorithm are used for coarse segmentation of an original image to form guiding factors, and the original image is cut into small images;a virtual body segmentation image is generated, wherein the generated virtual body segmentation image is generated by using an antagonistic generation network designed in combination with a self-encoder, taking a clipped small image as an input, and using the guiding factors to help the neural network to locate a region of interest; a solid cell image is extracted, wherein the solid cell image extraction refers to that a real cell image is extracted from the clipped small image according to the virtual body segmentation image. The cervical cell image segmentation method based on the antagonistic generation network provided by the invention is the first time to use the antagonistic generation network to solve such problems, provides a novel automatic cell image segmentation method, and simultaneously solves the component loss in the traditional overlapped cell segmentation method.
Owner:HARBIN UNIV OF SCI & TECH

Hardware neural network conversion method, computing device, software-hardware cooperation system

The invention provides a hardware neural network conversion method which converts a neural network application into a hardware neural network meeting the hardware constraint condition, a computing device, a compiling method and a neural network software and hardware collaboration system. The method comprises the steps that a neural network connection diagram corresponding to the neural network application is acquired; the neural network connection diagram is split into neural network basic units; each neural network basic unit is converted into a network which has the equivalent function with the neural network basic unit and is formed by connection of basic module virtual bodies of neural network hardware; and the obtained basic unit hardware networks are connected according to the splitting sequence so as to generate the parameter file of the hardware neural network. A brand-new neural network and quasi-brain computation software and hardware system is provided, and an intermediate compiling layer is additionally arranged between the neural network application and a neural network chip so that the problem of adaptation between the neural network application and the neural network application chip can be solved, and development of the application and the chip can also be decoupled.
Owner:TSINGHUA UNIV

Preparation method of high-melting-point Kelvin structure lattice metal based on laser additive manufacturing

ActiveCN112008081AFinely craftedOvercoming the defects of anisotropic mechanical propertiesAdditive manufacturing apparatusIncreasing energy efficiencySelective laser meltingFine structure
The invention provides a preparation method of high-melting-point Kelvin structure lattice metal based on laser additive manufacturing, and belongs to the technical field of additive manufacturing oflattice metal. Based on a selective laser melting technology, the preparation method comprises the steps that hole pattern structure process adaptability design is carried out on the Kelvin structurelattice metal to establish a three-dimensional model of the Kelvin structure lattice metal; and slicing discretization treatment is carried out and layer-by-layer selective laser printing is carried out to obtain the Kelvin structure lattice metal. The Kelvin structure lattice metal is of a three-dimensional structure formed by expanding basic units, prisms of the Kelvin structure lattice metal units are entities, the other parts except the prisms are virtual bodies, and every two adjacent Kelvin structure lattice metal units share one prism. Through geometric parameter design, geometric parameter boundary setting and precise regulation and control of process parameters of selective laser melting of the Kelvin structure lattice metal, the high-melting-point Kelvin structure lattice metal with a fine structure is prepared.
Owner:SHENYANG RES INST OF FOUNDRY
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