2results about How to "Quick focus" patented technology

The utility model relates to photovoltaic module recycling field discloses photovoltaic panel frame removing machine, including bottom plate and a plurality of sliding blocks, the bottom plate four around upper end fixedly installed fixed plate, four the fixed plate opposite side fixedly installed one hydraulic cylinder, four one hydraulic cylinder opposite side fixedly installed movable block, the bottom plate upper end fixedly installed top plate, the top plate upper end fixedly installed second hydraulic cylinder, second hydraulic cylinder lower end fixedly installed pressing plate, the bottom plate lower end middle position fixedly installed vacuum suction box, the vacuum suction box upper end fixedly installed a plurality of sucking disc, the bottom plate lower end edge fixedly installed fixed box, the fixed box inner end swingly installed collection box, in the utility model, through the pressing plate compression, sucking disc quick adsorption can ensure photovoltaic panel steady in the process of removing and do not shift, and the photovoltaic panel frame of dismantling can fall into the collection box from the groove of bottom plate upper end.

The application provides a robot visual operation control method and system based on eye tracking, and belongs to the field of robot vision and artificial intelligence. The method comprises the following steps: a head-mounted device with eye tracking function is used to synchronously collect data streams when an operator performs an operation task, wherein the collected data streams comprise eye movement data streams and scene visual data streams when the operator performs the operation task; for the preprocessed data streams, a dynamic Bayesian network is used to extract gaze-intention coupling features; the preprocessed data streams and the gaze-intention coupling features are input into a robot operation model with a double-path attention fusion that has been constructed, so as to obtain online attention results, and the robot performs corresponding operations according to the online attention results. The method of the application can quickly focus on key areas in complex scenes such as occlusion and interference, and improves the task success rate.