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: An image capture method may include obtaining two or more sets of images. The two or more sets of images may include a first image captured by a first image capture device and a second image captured by a second image capture device. The method may also include determining, for a set of images, two or more pairs of points. Each of the two or more pairs of points may include a first point in the first image and a second point in the second image, and the first point and the second point may correspond to a same object. The method may also include determining a first rotation matrix based on the pairs of points in the two or more sets of images. The first rotation matrix may be associated with a relationship between positions of the first image capture device and the second image capture device.

Abstract: A device for transferring micro-components and a method of manufacturing the device are provided. The device includes a substrate, a metal wire, and a plurality of silicon electrodes. The metal wire is formed on a flat surface of the substrate and includes a plurality of electrode driving units. The silicon electrodes are formed on a side of the metal wire opposing to the substrate. Each silicon electrode corresponds to each electrode driving unit and is driven by the electrode driving unit to pick or release each micro-component. According to the present application, the device may electrostatically adsorb a massive amount of micro-components to achieve transferring the massive amount of the micro-components, dramatically improving a transfer efficiency.

Abstract: A beam combining device and method for a Bragg grating external-cavity laser module has a plurality of side by side light-emitting modules that use a Bragg grating to perform wavelength locking. Output light of the modules is incident to a beam combining element after passing through a focusing optical element for beam combining, and light subjected to beam combining is reflected partially and transmitted partially under the effect of a light splitting element. A part is incident into a dispersion element at a diffraction angle of the element. Parallel light is formed under the effect of a conversion optical element. Spots of the light beams of corresponding wavelengths of the light-emitting modules are formed on an image acquisition mechanism. Whether the wavelengths of the corresponding light-emitting modules are locked is determined by whether there is a deviation between preset spots and spots formed by the module on the acquisition mechanism.

Abstract: The present disclosure relates to systems and methods for determining automatically a target field angle of an image capturing device. The method may include obtaining, by the image capturing device, at least two images for determining a target field angle of the image capturing device. The method may also include obtaining a field angle range of the image capturing device. Further, the method may include determining the target field angle by matching the at least two images based on the field angle range.

Abstract: In accordance with various aspects of the present disclosure, methods and systems for fire detection are disclosed. In some embodiments, a method for fire detection includes: acquiring data related to a monitored area, wherein the data comprises image data related to the monitored area; determining, based on the acquired data, whether a first mode or a second mode is to be executed for fire detection, wherein the first mode comprises a first smoke detection, and the second mode comprises a first flame detection; and executing, by a hardware processor, at least one of the first mode or the second mode based on a result of the determination.

Abstract: A beam combining device and method for a Bragg grating external-cavity laser module has a plurality of side by side light-emitting modules that use a Bragg grating to perform wavelength locking. Output light of the modules is incident to a beam combining element after passing through a focusing optical element for beam combining, and light subjected to beam combining is reflected partially and transmitted partially under the effect of a light splitting element. A part is incident into a dispersion element at a diffraction angle of the element. Parallel light is formed under the effect of a conversion optical element. Spots of the light beams of corresponding wavelengths of the light-emitting modules are formed on an image acquisition mechanism. Whether the wavelengths of the corresponding light-emitting modules are locked is determined by whether there is a deviation between preset spots and spots formed by the module on the acquisition mechanism.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: The present disclosure relates to systems and methods for image retrieval. The system may determine a plurality of difference degrees associated with an image set including a plurality of candidate images and a target image, each of the plurality of difference degrees corresponding to two images in the image set. For each image in the image set, the system may determine an extended subset based on the plurality of difference degrees. For each of the plurality of candidate images, the system may determine an extended difference degree between the candidate image and the target image based on an extended subset corresponding to the candidate image and an extended subset corresponding to the target image. The system may identify a result image corresponding to the target image from the plurality of candidate images based on the extended difference degrees corresponding to the plurality of candidate images.

Abstract: An image capture method may include obtaining two or more sets of images. The two or more sets of images may include a first image captured by a first image capture device and a second image captured by a second image capture device. The method may also include determining, for a set of images, two or more pairs of points. Each of the two or more pairs of points may include a first point in the first image and a second point in the second image, and the first point and the second point may correspond to a same object. The method may also include determining a first rotation matrix based on the pairs of points in the two or more sets of images. The first rotation matrix may be associated with a relationship between positions of the first image capture device and the second image capture device.

Abstract: The present disclosure relates to systems and methods for determining automatically a target field angle of an image capturing device. The method may include obtaining, by the image capturing device, at least two images for determining a target field angle of the image capturing device. The method may also include obtaining a field angle range of the image capturing device. Further, the method may include determining the target field angle by matching the at least two images based on the field angle range.

Abstract: The present disclosure provides a system and method for generating a video synopsis. The method may include obtaining a video captured by a movable camera at a plurality of positions, the video including a sequence of video frames; determining, for each of at least part of the sequence of video frames, a position label of the video frame that indicates one of the plurality of positions of the movable camera; classifying the at least part of the sequence of video frames into a plurality of groups based on their position labels; determining one or more objects of interest in at least one of the plurality of groups; generating, for the at least one of the plurality of groups, a video synopsis based on the one or more objects of interest.

Abstract: The present disclosure provides a system and method for generating a video synopsis. The method may include obtaining a video captured by a movable camera at a plurality of positions, the video including a sequence of video frames; determining, for each of at least part of the sequence of video frames, a position label of the video frame that indicates one of the plurality of positions of the movable camera; classifying the at least part of the sequence of video frames into a plurality of groups based on their position labels; determining one or more objects of interest in at least one of the plurality of groups; generating, for the at least one of the plurality of groups, a video synopsis based on the one or more objects of interest.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.

Abstract: In accordance with various aspects of the present disclosure, methods and systems for fire detection are disclosed. In some embodiments, a method for fire detection includes: acquiring data related to a monitored area, wherein the data comprises image data related to the monitored area; determining, based on the acquired data, whether a first mode or a second mode is to be executed for fire detection, wherein the first mode comprises a first smoke detection, and the second mode comprises a first flame detection; and executing, by a hardware processor, at least one of the first mode or the second mode based on a result of the determination.

Abstract: A system for video surveillance includes an image sensor configured capture an image including a reference zone and a memory device that stores instructions. The system also includes one or more processors that are configured to execute the instructions to determine 3D coordinates of a target comprised in the image and determine 3D coordinates of the reference zone. The one or more processors are further configured to identify an event according to the 3D coordinates of the target and the 3D coordinates of the reference zone.