4results about How to "Intelligent processing" patented technology

The invention discloses an intelligent control method and device, electronic equipment and a readable storage medium, and belongs to the technical field of intelligent control. Under the condition that the gesture instruction does not conflict with the voice instruction, performing multi-dimensional normalization on the gesture feature vector to obtain a to-be-fused gesture vector; performing normalization processing on the voice feature vector based on context semantic perception to obtain a to-be-fused voice vector; fusing the to-be-fused gesture vector and the to-be-fused voice vector to obtain a fusion vector, and determining a fusion instruction corresponding to the fusion vector as a target execution instruction; and under the condition that the gesture instruction conflicts with the voice instruction, selecting a target execution instruction according to a first confidence coefficient corresponding to the gesture instruction and a second confidence coefficient corresponding to the voice instruction. The self-adaptive normalization strategy is designed for different modal data, the data fusion accuracy is improved, meanwhile, the gesture and voice instruction conflict can be intelligently and flexibly processed, and the accuracy of determining the real intention of the user is improved.

The application relates to the technical field of data processing, and discloses a gateway processing method and device based on heterogeneous computing and dynamic energy efficiency, which comprises the following steps: performing a data analysis operation on real-time data of a target gateway to obtain data analysis information, determining a processing acceleration component according to a random forest decision tree model and task type information, generating a gateway model based on task modeling parameters, determining parallel segmentation points in the gateway model through a critical path analysis algorithm, and determining at least one sub-task set of the target gateway; determining a corresponding heterogeneous computing unit for each sub-task set based on the processing acceleration component and the calculation processing parameters, and further generating gateway processing parameters corresponding to the target gateway. It can be seen that the application can intelligently process industrial gateway data, is favorable for improving the intelligence and efficiency of industrial gateway data processing, and is favorable for improving the accuracy and reliability of industrial gateway data processing.

The application relates to the technical field of depth estimation, in particular to an indoor depth estimation method based on joint event stream and image frame, wherein the method comprises the following steps: fixing a depth camera and an event camera; performing time registration and space registration on the depth camera and the event camera, mapping an image collected by the depth camera to an image collected by the event camera, and obtaining a time-space aligned image frame data set; for each frame of the image collected by the event camera, selecting a real depth map with a collection time interval less than a preset interval as a real depth label; training a depth estimation network by using the image frame data set to obtain a trained depth estimation network; inputting an event stream image and an image sequence of an indoor scene into the trained depth estimation network; and outputting a depth estimation result of the indoor scene. Thus, the problems in the related art that the indoor scene environment is various and complex in structure, the indoor monocular depth estimation accuracy is low, and the indoor monocular depth estimation cannot meet the actual use requirements are solved.

The intelligent home textile four-edge sewing all-in-one machine integrates transverse and longitudinal sewing functions and is specially designed for automatically completing four-edge sewing of home textile products. After the transverse sewing part automatically cuts the fabric through the cutting mechanism, the fabric is stably conveyed to the longitudinal sewing area through the longitudinal receiving part. The longitudinal receiving part comprises a conveying belt fixed on a movable frame, and the distance between the movable frames is adjusted to adapt to fabrics with different widths; the sixth conveying belt and the eighth conveying belt can be adjusted up and down to adapt to clamping and conveying of fabrics with different thicknesses. The longitudinal sewing area is composed of two sets of symmetrical sewing units and comprises a sewing module, a guide belt, a guide strip and a label washing part, and the label washing part automatically grabs and conveys a washed label and joins the fabric for sewing. The equipment does not need manual intervention, ensures that the production process is continuous, and has high-efficiency automatic production capacity, high-precision sewing quality and intelligent secondary processing. In addition, by replacing the hemming steel plate, the flanging mode and the hemming mode can be easily switched, and various product requirements are met. Meanwhile, trademarks can be installed on the trademark installation mechanism according to needs, and the added value of products is improved. In a word, comprehensive automation of home textile product sewing is achieved, and production efficiency and flexibility are improved.