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A lens adjustment linkage mechanism for adjusting a lens assembly includes a base plate (100); a single driving motor (300) for providing a driving force; at least two transmission rods (400) driven by the driving motor (300), with an end of each transmission rod (400) connected to the lens assembly (200); and a transmission assembly (500) connected to a rotating shaft of the driving motor (300) and the at least two transmission rods (400), which is configured to transmit the driving force of the driving motor (300) to the at least two transmission rods (400) to drive the lens assembly (200) to move along a length direction of the at least two transmission rods (400).

An inter-linking converter includes: a status information acquisition unit which acquires microgrid status information including the status of distributed resources in each of a plurality of microgrids; a reserve power calculation unit which calculates the supply reserve power or demand reserve power of each microgrid based on information on the status of the distributed resources; and a converter control unit which controls a power stage of the inter-linking converter based on the calculated supply reserve power or demand reserve power of each microgrid, so that power is transmitted and received between the microgrids.

The present disclosure discloses a stage light fixture with a translational rotatable effect wheel, having a light head in which a light source is arranged for emitting a light beam and an effect wheel is supported on a mounting plate. The effect wheel is driven to translate by a first driving mechanism so as to selectively switch into/out of a light path formed by the light beam, and driven to rotate by a synchronous belt of a second driving mechanism. The second driving mechanism is substantially fixed in position relative to the first driving mechanism, and at least a segment of the synchronous belt of the second driving mechanism for driving rotation of the effect wheel is substantially in a direction parallel to a translation direction of the effect wheel.

A light shading device having curved guidance includes a light passing hole for light beams passing therethrough and at least one pair of shading blades arranged opposite one another. Each pair of shading blades respectively have a shading edge for shading light beams at a side close to each other, while the two ends of the side away from each other are respectively connected with a double-link arm which includes a first connecting rod and a second connecting rod pivoting each other, the other end of the first connecting rod is connected to the corresponding shading blade, and the other end of the second connecting rod is connected to a driving element. A guide element is further provided for limiting a guide point on each shading blade to move along a curved path on the plane where the corresponding shading blade is located.

A method for selecting training data for training a deep learning model is provided. The method includes steps of: (a) obtaining one or more individual attributes each of which corresponds to each of a plurality of training data included in total training data, and generating a bipartite graph by matching each of the plurality of training data included in the total training data with the individual attributes; and (b) selecting n training data among the total training data, by referring to the bipartite graph, wherein the n is a target number of the training data to be used for training the deep learning model, and wherein the training data selecting device selects the n training data to be used for training the deep learning model such that each cardinal number of each of the individual attributes matched with the n training data is within a predetermined deviation threshold.

A method for manually tracking a target object with aid of machine vision includes steps of: taking an image containing a target object by a camera with a known pose; calculating predicted state information of the target object containing a predicted coordinate position at a t<th> moment according to movement state information of the target object at a (t-1)<th> moment; taking a position of the target object at the t<th> moment manually input by a user as a real coordinate position; obtaining movement state information of the target object at the t<th> moment by combining the real coordinate position with the predicted state information; calculating a spatial coordinate position of the target object according to an estimated coordinate position contained in the movement state information by combining parameters of the camera; and sending the spatial coordinate position to a follow spotlight for tracking.

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Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …