Abstract: The present disclosure relates to a security inspection system. The system may include a re-inspection apparatus and a monitoring platform. The monitoring platform may receive information relating to a suspect article in a package and information relating to an electronic tag attached to the package. The monitoring platform may also generate re-inspection instructions for the package based on the information relating to the suspect article and the information relating to the electronic tag, and send the re-inspection instructions to the re-inspection apparatus. The re-inspection apparatus may re-inspect the suspect article in the package based on the re-inspection instructions. The information relating to the suspect article may be generated and sent by a security inspection machine. The information relating to the electronic tag may be generated and sent by a labelling apparatus. The package with the electronic tag may be delivered to the re-inspection apparatus by a distribution apparatus.

Abstract: The present disclosure provides a laminating device. The laminating device may include a first conveying device, a second conveying device, and a laminating apparatus. The first conveying device may be configured to convey a film-like structure. The second conveying device may be arranged along a conveying direction of the first conveying device. A conveying speed of the first conveying device may be greater than that of the second conveying device. The second conveying device may receive the film-like structure conveyed by the first conveying device. The film-like structure may form a folded portion on the second conveying device. The laminating apparatus may be configured to convey an object to be laminated and receive the film-like structure conveyed by the second conveying device. The film-like structure with the folded portion may be laminated with the object to be laminated on the laminating apparatus.

Abstract: The present disclosure relates to systems and methods for inter prediction based on a Merge mode. The methods may include determining whether a current block in an image frame satisfies a division condition, and in response to determining that the current block satisfies the division condition, obtaining two sub-blocks by dividing the current block according to a division mode. The division mode may include a rectangular division. The methods may further include determine, based on the two sub-blocks, a prediction result of the current block.

Abstract: The present disclosure provides a circuit including a coaxial cable interface, a data module, a power module, a power signal transmission branch, and a data signal transmission branch. The data module may receive or output a data signal. The power module may receive or output a power signal. The power signal transmission branch may be electrically coupled between the coaxial cable interface and the power module, and may include an inductor that allows the power signal to pass. The data signal transmission branch may be electrically coupled between the coaxial cable interface and the data module, and may include a capacitor that allows the data signal to pass and a first electrical surge protection circuit. The first electrical surge protection circuit may release a surge current on the data signal transmission branch.

Abstract: The present disclosure is related to systems and methods for transformation based on an intra block copy (IBC) mode. The method includes obtaining a set of candidate transformation results by performing a set of candidate transformation modes on a first block in an image. The set of candidate transformation modes include at least one of a first transformation mode, a secondary transformation mode, or a sub-block transformation mode. The method includes determining a target transformation mode for the first block based on the set of candidate transformation results.

Abstract: The present disclosure relates to a belt driven system. The belt driven system may include a master pulley, a slave pulley, a belt around the master pulley and the slave pulley, a tension pulley configured to tension the belt, and a position adjusting device configured to automatically adjust a position of the tension pulley based on an interaction of the tension pulley and the belt.

Abstract: The embodiments of the present disclosure may disclose processing methods, systems, devices, and storage mediums in a distributed framework. The processing method may include: obtaining a position of first data resource; and allocating a ProcessPod to one of the one or more Nodes based on the position of the first data resource and recording an allocation result.

Abstract: A system may comprise at least one signal input circuit configured to receive target input signals from at least one sensor device; at least one signal processing unit. Each of the at least one signal processing unit may include at least one signal output circuit configured to output signals to a first electronic connection; and at least one signal extraction circuit configured to obtain a reverse control signal from the first electronic connection; and at least one signal superimposing circuit configured to generate superimposed reverse control signals by superimposing the first reverse control signal with other electronic signals, and output the superimposed reverse control signal to the signal input circuit.

Abstract: The present disclosure relates to an apparatus and method for identifying light source. The method includes receiving an infrared image of an environment captured by an imaging apparatus in a first configuration. The method also includes identifying, based on the infrared image, that a light source exists in the environment captured in the infrared image. The method further includes generating an order for changing the imaging apparatus from the first configuration to a second configuration.

Abstract: MMTTTTA method and system for face alignment. The method may include obtaining an image processing model set including M (M?2) candidate models, and obtaining a test image including a target face. The method may also include conducting T (T?1) stages of model set updating operation. Each stage of the T stages of model set updating operation may include conducting a performance evaluation to each candidate model of the image processing model set with respect to the test image, and updating the image processing model set by excluding at least one model from the image processing model set based on the performance evaluation. The method may further include designating, after completing the T stages of model set updating operation, at least one candidate model of the image processing model set as a target model, and determining, based on the target model, a result shape as a shape of the target face.

Abstract: The present disclosure relates to systems and methods for automatically adjusting an aperture of a camera. The methods may include obtaining at least two parameters out of three parameters of the camera, the three parameters including a luminance parameter, an exposure parameter, and a focal length parameter; determining a step length of the aperture based on the at least two parameters; and automatically adjusting the aperture of the camera based on the step length.

Abstract: A method may include obtaining parameter information of a plurality of acquisition devices that communicate with the system to transmit video data to the system. The parameter information of each of the plurality of acquisition device may include transmission information of a target key frame of the video data of the acquisition device. The method may also include determining, based on the parameter information, whether there are collision key frames in the target key frames of the plurality of acquisition devices. The method may also include adjusting an original generation time of at least one of the collision key frames in response to determining that there are collision key frames, so that after the adjustment, there is no collision key frame in the target key frames of the plurality of acquisition devices.

Abstract: The present disclosure relates to systems and methods for object recognition. The systems may obtain an image associated with an object. The systems may determine, using a recognition model, an initial recognition result of the object based on the image. The initial recognition result may include a plurality of initial recognition values corresponding to a plurality of predetermined categories respectively. Each of the plurality of initial recognition values may indicate an initial probability that the object corresponds to a corresponding predetermined category. In response to determining that the initial recognition result satisfies a preset condition, for each of the plurality of predetermined categories, the systems may obtain a reference probability corresponding to the predetermined category.

Abstract: The present disclosure relates to network connection methods and devices for connecting a terminal device to a network through a network access device. The network access device may include a processor and a connection configuration component. The processor receives a connection request from the terminal device. The processor also authenticates the terminal device based on the connection request, and obtains a verified Internet protocol (IP) address from the connection configuration component. The processor further transmits the verified IP address to the terminal device after the terminal device is authenticated, wherein the terminal device is configured to be connected to the network by using the verified IP address.

Abstract: The present disclosure relates to zoom lenses. A zoom lens may include in order from an object side to an image side: a first lens group; a second lens group; a third lens group; a fourth lens group; and a fifth lens group; wherein the zoom lens satisfies certain conditions.

Abstract: A method and system for locating a target object in a target scene. The method may include obtaining a depth image of the target scene. The depth image may include a plurality of pixels. The method may also include, for each of the plurality of pixels of the depth image, determining a first target coordinate under a target coordinate system. The method may further include generating a marking image according to the depth image and the first target coordinates of the plurality of pixels in the depth image. The marking image may represent potential target objects in the depth image. The method may also include determining a locating coordinate of the target object under the target coordinate system according to the marking image.

Abstract: System and method for alarm processing are provided. The system may include a plurality of security devices. The plurality of security devices may be divided into at least one group. One group of the at least one group may include a first security device and one or more second security devices. The first security device may receive, from the one or more second security devices, one or more first alarms generated by the one or more second security devices. The first security device may determine that an alarm condition is satisfied based at least on one of the one or more first alarms and one or more second alarms generated by the first security device. The first security device may send, based on the determination, at least one of the one or more first alarms and the one or more second alarms to a user terminal.

Abstract: The present disclosure is related to systems and methods for storing data. The method includes obtaining a streaming data file including a first set of data frames. The method includes, in response to determining that the streaming data file satisfies one or more conditions, generating a hole frame storing an offset address of the streaming data file, and establishing a target streaming data file by adding a second set of data frames into the streaming data file based on the hole frame.

Abstract: The present disclosure relates to devices and methods for detecting and removing vapor for an imaging acquisition device. A device for detecting and removing vapor may include a first light guide. The first light guide may include a first end to receive a light beam, and a second end to output the light beam at a predetermined angle with respect to a reference plane, so that when the light beam enters a target light transmission media from the first light guide, the light beam substantially perfectly reflects between a first surface and a second surface of the target light transmission media. The first surface and second surface may substantially parallel to the reference plane.

Abstract: The present disclosure may relate to a system and a method for video coding. The method may include determining at least one classification mode of a first component of a first pixel for a block in an image frame based on at least one pixel value of at least one second component of at least one second pixel that surrounds the first pixel. The method may also include generating a target classification result by classifying the first component based on at least a portion of the at least one classification mode. The method may also include compensating the first component based on an optimal compensation value of the target classification result.