Intelligent robot based on deep learning and with improved image recognition technology

Abstract

The invention discloses an intelligent robot based on deep learning and with an improved image recognition technology. The intelligent robot comprises a moving seat, a lifting steering mechanism, a multi-directional alignment head and an image recognition system. A four-drive drive steering walking mechanism is arranged in the moving seat and is used for supporting moving of the moving seat and four-drive synchronous steering. The lifting steering mechanism comprises a servo motor embedded in the end face of the top of the moving seat. The tail end of the output end of the top of the servo motor is fixedly connected with an electric telescopic rod. The side face of the tail end of the top of the electric telescopic rod is fixedly connected with the multi-directional alignment head. The image recognition system is arranged in the multi-directional alignment head. The multi-directional alignment head comprises a supporting machine body, a multi-dimensional steering mechanism fixedly connected to the right end of the supporting machine body, a probe detection mechanism and a plane scanning mechanism, wherein the probe detection mechanism and the plane scanning mechanism are used for scanning after steering alignment.

Description

technical field [0001] The invention relates to the technical field of robots, in particular to an intelligent robot improved by image recognition technology based on deep learning. Background technique [0002] As the unprecedented demand of modern human civilization, robots have replaced the handicraft era, evolved human beings from handicraft industry to modern industrial age, and developed low-efficiency production operations to high-efficiency production to a large extent. , cumbersome daily work and a series of problems, existing robots such as industrial work robots, daily work robots, transportation robots, military robots, etc. However, the existing intelligent robots have fewer functions for deep learning of image recognition, the range and angle of scanning patterns are limited, the accuracy of image acquisition and recognition is poor, the fully intelligent processing is poor, and the learning efficiency is poor, etc. Wait for a series of questions. Contents o...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an intelligent robot improved based on deep learning image recognition technology, which fundamentally solves the problems of poor image recognition accuracy, poor learning ability, and poor image processing technology of existing robots. Simple structure, intelligent recognition, strong deep learning ability, etc.

Images