Abstract: An expression feedback method and a smart robot, belonging to smart devices. The method comprises: step S1, a smart robot using an image collection apparatus to collect image information; step S2, the smart robot detecting whether human face information representing a human face exists in the image information; if so, acquiring position information and size information associated with the human face information, and then turning to step S3; and if not, returning to step S1; step S3, according to the position information and the size information, obtaining, by prediction, a plurality of pieces of feature point information in the human face information and outputting same; and step S4, using a first identification model formed through pre-training, determining whether the human face information represents a smiling face according to the feature point information, and then exiting from this step; if so, the smart robot outputting preset expression feedback information; and if not, exiting from this step.

Abstract: The present invention falls within the technical field of robots, and particularly relates to a robot monitoring system. The robot monitoring system based on human body information comprises an image collection unit for collecting an image; a human body detection unit for determining whether human body information matching a training sample exists in the image; a target acquisition unit for acquiring position information and size information about the human body information in the image; a target tracking unit for acquiring a current motion region according to a frame difference between the image and a predetermined image frame and acquiring a moving target from the motion region; and an adjustment unit for adjusting the orientation of the image collection unit such that the moving target is located in the centre of the image.

Abstract: An expression feedback method and a smart robot, belonging to smart devices. The method comprises: step S1, a smart robot using an image collection apparatus to collect image information; step S2, the smart robot detecting whether human face information representing a human face exists in the image information; if so, acquiring position information and size information associated with the human face information, and then turning to step S3; and if not, returning to step S1; step S3, according to the position information and the size information, obtaining, by prediction, a plurality of pieces of feature point information in the human face information and outputting same; and step S4, using a first identification model formed through pre-training, determining whether the human face information represents a smiling face according to the feature point information, and then exiting from this step; if so, the smart robot outputting preset expression feedback information; and if not, exiting from this step.

Abstract: A human face detection method, falling within the technical field of image detection. The method comprises: respectively determining a plurality of pieces of human face characteristic information in a plurality of pre-input human face training samples, and training and forming a characteristic prediction model according to all the pieces of human face characteristic information in each of the human face training samples.

Abstract: The present invention falls within the technical field of robots, and particularly relates to a robot monitoring system. The robot monitoring system based on human body information comprises an image collection unit for collecting an image; a human body detection unit for determining whether human body information matching a training sample exists in the image; a target acquisition unit for acquiring position information and size information about the human body information in the image; a target tracking unit for acquiring a current motion region according to a frame difference between the image and a predetermined image frame and acquiring a moving target from the motion region; and an adjustment unit for adjusting the orientation of the image collection unit such that the moving target is located in the centre of the image.

Abstract: Disclosed are a control information interaction method and a smart robot, falling within the technical field of smart devices. The method comprises: step S1, a user inputting control information to a user end; step S2, the user end forming alternative information having a preset form according to the control information and outputting same; step S3, the smart robot receiving the alternative information, and performing parsing according to the alternative information to obtain corresponding parsed information; and step S4, the smart robot performing restoration according to the parsed information to obtain the control information, and executing a corresponding operation according to the control information. The beneficial effects of the technical solution are: being capable of making human-machine interaction between a user and a smart robot more convenient and rapid, and ensuring the accuracy of information interaction.

Abstract: A human face detection method, falling within the technical field of image detection. The method comprises: respectively determining a plurality of pieces of human face characteristic information in a plurality of pre-input human face training samples, and training and forming a characteristic prediction model according to all the pieces of human face characteristic information in each of the human face training samples.

Abstract: Aspects for hand gesture activated commands in a virtual reality (VR), an augmented reality (AR), or a mixed reality (MR) system (collectively “visual enhancement system”) are described herein. As an example, the aspects may include recognizing hand gestures in front of a depth camera and performing one or more commands in response to the recognized hand gestures. The hand gesture activated commands may include performing operations such as initiating an application, terminating the application, opening a start menu, etc.

Abstract: The present invention relates to the technical field of electronic devices, and in particular to a target tracking device and a target tracking method. A moving target tracking device which comprises a target tracking module, a motion module and a comprehensive analysis module is constructed; images of moving targets are acquired from a camera to determine the moving targets and finally determine an effective moving target; parameter information about the current motion of the effective moving target is then calculated, and whether the camera needs to be rotated is judged according to the parameter information; and after the rotation of the camera is completed, the parameter information stored in a memory is updated.

Abstract: Disclosed are a network configuration method and an intelligent robot, falling within the technical field of intelligent devices. The method comprises: step S1, forming replacement information in a pre-set format according to configuration information of a network configuration for the intelligent robot, and outputting the replacement information by using an external device; step S2, the intelligent robot receiving and parsing the replacement information so as to obtain and output a corresponding parsing result; step S3, the intelligent robot obtaining the configuration information by means of restoration according to the parsing result; and step S4, the intelligent robot conducting network configuration according to the configuration information, and subsequently loging out.

Abstract: A method for awakening an intelligent robot, and an intelligent robot, falling within the technical field of intelligent devices. The method comprises: step S1, acquiring image information by using an image acquisition apparatus on an intelligent robot (S1); step S2, determining whether the image information contains human face information (S2), and if not, returning back to step S1; step S3, extracting a plurality of pieces of characteristic point information on the human face information, and determining whether the human face information indicates a front human face directly facing the image acquisition apparatus according to the characteristic point information, and turning to step S4 when it is determined that the human face information indicates a front human face directly facing the image acquisition apparatus (S3); and step S4, awakening the intelligent robot, and subsequently quitting (S4).

Abstract: The present invention relates to the technical field of electronic devices, and in particular to a target tracking device and a target tracking method. A moving target tracking device which comprises a target tracking module, a motion module and a comprehensive analysis module is constructed; images of moving targets are acquired from a camera to determine the moving targets and finally determine an effective moving target; parameter information about the current motion of the effective moving target is then calculated, and whether the camera needs to be rotated is judged according to the parameter information; and after the rotation of the camera is completed, the parameter information stored in a memory is updated.

Abstract: The invention discloses an image recognition system, comprising: a robot having an image collection module configured to drive an image collection module to collect an image in a view of the robot by the image collection drive module; a light source configured to supplement light when the image collection module collecting an image; a face detection module configured to locate a face image in an image according to the image collected by the image collection module; a face recognition module configured to implement a preprocessing for the located face image, then the preprocessed face image being compared with an image feature information of a known identity in a database, to determine an identity information and a confidence probability of the present face image. The invention can identify a face based on a fixed face pose, and it can identify a face based on a local or web server database.

Abstract: The invention discloses an image recognition system, comprising: a robot having an image collection module configured to drive an image collection module to collect an image in a view of the robot by the image collection drive module; a light source configured to fill the light when the image collection module collecting an image; a face detection module configured to locate a face image in an image according to the image collected by the image collection module; a face recognition module configured to implement a preprocessing for the located face image, then the preprocessed face image being compared with an image feature information of a known identity in a database, to determine an identity information and a confidence rate of the present face image. The invention can identify a face based on a fixed face pose, and it can identify a face based on a local or web server database.