Automatic image recognition system and method based on neural network method

A technology of automatic recognition system and neural network, applied in image analysis, image data processing, character and pattern recognition, etc., can solve the problems of unsuitable deployment in different fields of smart cities, poor device flexibility, etc., to reduce costs and improve efficiency , the effect of deploying work flexibility

Pending Publication Date: 2017-05-17
北京泛化智能科技有限公司
View PDF6 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It needs to be based on Beidou satellite positioning, as well as vehicle-mounted laser scanning and vehicle-mounted video cameras. The flexibility of the device is poor and it needs to rely on GIS information. It is not suitable for deployment in different fields of smart cities

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Automatic image recognition system and method based on neural network method
  • Automatic image recognition system and method based on neural network method
  • Automatic image recognition system and method based on neural network method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The principles of the disclosure will now be described with reference to some example embodiments. It can be understood that these embodiments are described only for the purpose of illustrating and helping those skilled in the art to understand and implement the present disclosure, rather than suggesting any limitation to the scope of the present disclosure. The disclosure described herein may be implemented in various ways other than those described below.

[0052] As used herein, the term "comprising" and its variations may be understood as open-ended terms meaning "including but not limited to". The term "based on" may be understood as "based at least in part on". The term "one embodiment" can be read as "at least one embodiment". The term "another embodiment" may be understood as "at least one other embodiment".

[0053] The communication components in this application can adopt COFDM (channel coded orthogonal frequency division multiplexing) all-digital modulati...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an automatic image recognition system and method based on the neural network method. The system comprises an unmanned aerial vehicle, a back-stage control platform and/or a far-end center control device of the aerial vehicle. The system can be used in the fields of equipment maintenance, traffic monitoring, wide-range target location and the like, thereby reducing cost and/ or improving efficiency. Images of real-time scenes are collected through the unmanned aerial vehicle, automatic/ manual remote control of the unmanned aerial vehicle is performed through the far-end center control device of the aerial vehicle, massive data are processed through a back-stage control platform, image contents are calculated and identified, and a variety of operative goals are completed: scene monitoring, scene early-warning and alarming, scene three-dimensional reconstruction, scene recognition, target object recognition or target object tracking and the like. The system is capable of flexibly deploying according to the scene. In addition, automatic scene scanning and three-dimensional reconstruction without depending/ depending on auxiliary data are achieved through the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to the fields of image recognition and unmanned aerial vehicles, in particular to an image automatic recognition system and method based on a neural network method. Background technique [0002] In the past few years, various seemingly sci-fi concepts (such as smart cities, holographic projections, etc.) only exist in movies and game scenes. With the improvement of the computing performance of various computing devices, the reduction of power consumption, the invention of new computing architectures, the continuous innovation and improvement of computer software, and the discovery of mathematical computing skills, it only existed in science fiction scenes a few years ago. And the various scenarios and technologies that people think about are gradually becoming a reality. [0003] A smart city is to use information and communication technology to sense, analyze, and integrate various key information of the core system of urban ope...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06T7/73G06T7/246G06T17/05G05D1/00G05D1/12
CPCG05D1/0088G05D1/12G06T17/05G06T2200/08G06V20/00G06F18/22G06F18/214
Inventor 王弘尧王汉洋刘鑫林宏健苏可元
Owner 北京泛化智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products