Abstract: The present application relates to a control method of an aerial vehicle. The aerial vehicle may comprise a propulsion structure for providing flight power and a spraying apparatus for spraying a material. The control method may comprise determining current target information of the aerial vehicle during a process of the aerial vehicle performing a spraying task, wherein the current target information indicates wind field strength of a downward pressure wind field generated by the propulsion structure; determining, based on the current target information, a desired relative flight altitude of the aerial vehicle corresponding to the current target information relative to the material being sprayed below the aerial vehicle; and controlling the aerial vehicle to fly toward the desired relative flight altitude.

Abstract: An inductor device including a frame portion, a first winding set, a second winding set and a first common magnetic core I piece is provided. The first winding set, the second winding set and the first common magnetic core I piece are disposed in the frame portion. The first common magnetic core I piece substantially connects the first winding set and the second winding set and the frame portion. The material of the two winding sets is different from that of the first common magnetic core I piece.

Abstract: Systems and methods are provided for pitch determination. An example method includes obtaining an image depicting a structure, the image being captured via a user device positioned proximate to the structure. The image is segmented to identify, at least, a roof facet of the structure. An eave vector and a rake vector which are associated with the roof facet are determined. A normal vector of the roof facet is calculated based on the eave vector and the rake vector, and compared to a vector indicating a vertical direction such as gravity. The angle made out by the normal and a gravity vector may be utilized to calculate the pitch of the roof facet.

Abstract: Systems and methods are provided for pitch determination. An example method includes obtaining an image depicting a structure, the image being captured via a user device positioned proximate to the structure. The image is segmented to identify, at least, a roof facet of the structure. An eave vector and a rake vector which are associated with the roof facet are determined. A normal vector of the roof facet is calculated based on the eave vector and the rake vector, and compared to a vector indicating a vertical direction such as gravity. The angle made out by the normal and a gravity vector may be utilized to calculate the pitch of the roof facet.

Abstract: A wireless communication device includes a casing having a wireless signal penetrating area, an antenna sending a wireless signal through the wireless signal penetrating area, and an electromagnetic lens assembly including a lens barrel and a lens. The lens barrel has a first end and a second end. The first end is closer to the wireless signal penetrating area than the second end. The lens disposed in the lens barrel has an incident surface and an emission surface on an axis of the lens. The incident surface is a flat surface facing the first end. The emission surface is a convex surface and has a curvature, which is not equal to 0, from a perspective of a first axis perpendicular to the axis of the lens, and has a curvature of 0 from a perspective of a second axis perpendicular to the axis of the lens and the first axis.

Abstract: A parabolic antenna includes a main disc, a transmitting device, and a reflecting member. The main disc has a main surface that is arc-shaped. The transmitting device is disposed on the main disc and includes a transmitter and a reflector. The transmitter corresponds to the reflector. The reflector has a reflecting surface that is arc-shaped and corresponds to the main surface of the main disc. The reflecting member is detachably engaged with the reflecting surface of the reflector and corresponds to the transmitter. By engaging the reflecting member with the reflecting surface of the reflector or detaching the reflecting member from the reflecting surface, the parabolic antenna could form various configurations and provide different reflecting performances.

Abstract: Techniques are described for identifying correspondences between images to generate a fundamental matrix for the camera positions related to the images. The resultant fundamental matrix enables epipolar geometry to correlate common features among the images. Correspondences are identified by confirming feature matches across images by applying a homography to data representing features across images. Further techniques are described herein for generating a representation of a boundary of a feature of a structure based on a digital image. In one or more embodiments, generating a representation of a boundary of a particular feature in a digital image comprises determining a portion of the image that corresponds to the structure, and determining a portion of the image that corresponds to the particular feature. One more vanishing points are associated with the portion of the image corresponding to the particular feature.

Abstract: A parabolic antenna includes a main disc, a transmitting device, and a reflecting member. The main disc has a main surface that is arc-shaped. The transmitting device is disposed on the main disc and includes a transmitter and a reflector. The transmitter corresponds to the reflector. The reflector has a reflecting surface that is arc-shaped and corresponds to the main surface of the main disc. The reflecting member is detachably engaged with the reflecting surface of the reflector and corresponds to the transmitter. By engaging the reflecting member with the reflecting surface of the reflector or detaching the reflecting member from the reflecting surface, the parabolic antenna could form various configurations and provide different reflecting performances.

Abstract: The application provides a liveness detection method capable of implementing liveness detection on a human body, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: obtaining video data acquired via a video acquisition module; determining, based on the video data, a feature signal of an object to be detected; judging whether the feature signal meets a first predetermined condition, and if the feature signal meets the first predetermined condition, identifying that the object to be detected is a living body, wherein the feature signal is indicative of eye movement of the object to be detected.

Abstract: There are provided a liveness detection method and device. The liveness detection method comprises: generating a random action instruction sequence including at least one random action instruction; sequentially sending a random action instruction in the random action instruction sequence; and determining whether the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by a living body based on detection information of at least two sensors, wherein the at least two sensors comprise an image sensor and at least one non-image sensor; and determining that the liveness detection is succeeded if the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by the living body. Accuracy of liveness detection can be improved by adopting the random action sequence and by combining images captured by the image sensor and information detected by the non-image sensor.

Abstract: A disclosed face detection system (and method) is based on a structure of a convolutional neural network (CNN). One aspect concerns a method for automatically training a CNN for face detection. The training is performed such that balanced number of face images and non-face images are used for training by deriving additional face images from the face images. The training is also performed by adaptively changing a number of trainings of a stage according to automatic stopping criteria. Another aspect concerns a system for performing image detection by integrating data at different scales (i.e., different image extents) for better use of data in each scale. The system may include CNNs automatically trained using the method disclosed herein.

Abstract: A train bulk cargo loading system having a disconnected railroad track scale, includes a disconnected railroad track scale (1), a tractor (2), a lifting scraping plow (4), a controllable vibration charging hopper (6), a surge bin (8), a belt conveyor (9) and a control terminal (7). The train bulk cargo loading system having the disconnected railroad track scale has a low overall height and a small footprint, thus reducing the construction and production costs. The system integrates loading, trimming, measuring and data sharing, and features uniform loading, balanced train wheel pressure, and accurate measuring. Thus, huge human and material resources consumption caused by uneven loading of an original loading system, large wheel pressure deviation and secondary trimming and measuring required by the railway department may be avoided, significantly reducing the construction cost and operation cost.

Abstract: Provided are a living-body detection method and device and a computer program product, belonging to the technical field of face recognition. The living-body detection method comprises: detecting a facial movement from a photograph image; according to said detected facial movement, controlling the display of a virtual object on a display screen; and, if said virtual object satisfies predetermined conditions, determining that the face in said photographed image is a living-body face. By controlling virtual-object display on the basis of face movements and performing living-body detection according to virtual-object display, it is possible to effectively prevent an attack using such means as photograph, video, 3D face model, or face mask.

Abstract: Disclosed are a method and a system for authenticating liveness face, and a computer program product thereof, which belong to a field of face recognition technique. The method for authenticating liveness face comprises: generating a sequence of action instructions randomly; and determining a success of the authentication of the liveness face when face actions are determined to be matched with the sequence of action instructions sequentially. The authentication of the liveness face can be performed based on fine head actions, so that a cost for authenticating the liveness face is decreased, an accuracy of authentication of the liveness face is increased.

Abstract: A liveness detection apparatus and a liveness detection method are provided. The liveness detection apparatus may comprise: a specific exhibiting device, for exhibiting a specific identification content; an image acquiring device, for acquiring image data of a target object to be recognized during the exhibition of the identification content; a processor, for determining whether there is a reflective region corresponding to the identification content in the acquired image data, determining a regional feature of the reflective region when there is the reflective region, to obtain a determination result, and recognizing whether the target object is a living body based on the determination result.

Abstract: Disclosed is an extended-range full-electric low-speed tractor, which includes a system control unit, a battery pack, a frequency conversion driver, a bidirectional DC-DC converter, a generating set and a drive system. The generating set is capable of working in an intermittent mode. The generating set will be started when the power of the battery pack is lower than a preset working range; once the generating set begins to work, the generating set will be running under a condition of “the most economic fuel consumption” and provide stable output at constant speed and constant power, so as to make sure that the generating set is not overloaded, emits no black smoke and has highest energy efficiency. It has advantages of low energy consumption, low pollution and long life of the generating set.

Abstract: The present invention discloses a double-power energy saving system of rubber tire gantry crane (RTG), which is composed of a controller, a battery pack, a generator set and so on. The system changed the power supply mode of traditional RTG which is powered by a single generator set or a superposition of a generator set and a battery pack. Both the battery pack and the generator set of the system can support the RTG operations independently, forming the double-power energy saving system to improve the equipment reliability. The battery pack is used as the primary power source for RTG and the output power can be highly matched with the demanded power, which reduces the reactive loss and increases the energy efficiency. The generator set is shut down and the power is supplied by the battery pack when the electricity of the battery pack is high; the generator set is started to supply power directly for RTG when the electricity of the battery pack is low, and the surplus energy can charge the battery pack.

Abstract: Disclosed is an extended-range full-electric low-speed tractor, which includes a system control unit, a battery pack, a frequency conversion driver, a bidirectional DC-DC converter, a generating set and a drive system. The generating set is capable of working in an intermittent mode. The generating set will be started when the power of the battery pack is lower than a preset working range; once the generating set begins to work, the generating set will be running under a condition of “the most economic fuel consumption” and provide stable output at constant speed and constant power, so as to make sure that the generating set is not overloaded, emits no black smoke and has highest energy efficiency. It has advantages of low energy consumption, low pollution and long life of the generating set.

Abstract: A rubber tyred gantry crane three-power hybrid energy saving system comprising a system controller; a unidirectional AC/DC converter; a small diesel generator set having its output going to the unidirectional AC/DC converter and supplying power to a direct-current bus after rectification; a unidirectional DC/AC inverter power supply having its input end connected in parallel with the direct-current bus, and having output going to the auxiliary transformer after inversion; a battery set and its management system; an interconnection switch; a large diesel generator set; and an auxiliary transformer. Electrical equipment mainly includes a hoist frequency converter, a trolley frequency converter, a gantry frequency converter, auxiliary electrical equipment and a control power supply.

Abstract: There are provided a liveness detection method and device. The liveness detection method comprises: generating a random action instruction sequence including at least one random action instruction; sequentially sending a random action instruction in the random action instruction sequence; and determining whether the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by a living body based on detection information of at least two sensors, wherein the at least two sensors comprise an image sensor and at least one non-image sensor; and determining that the liveness detection is succeeded if the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by the living body. Accuracy of liveness detection can be improved by adopting the random action sequence and by combining images captured by the image sensor and information detected by the non-image sensor.