Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent cloud platform for pedestrian analysis

A cloud platform, pedestrian technology, applied in the field of computer vision, can solve problems such as affecting the accuracy of recognition and poor recognition rate, and achieve the effect of improving the accuracy rate

Pending Publication Date: 2019-08-20
苏州书客贝塔软件科技有限公司
View PDF21 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Face recognition is very useful, but the current face recognition technology has many shortcomings, such as the surrounding light environment, pedestrian posture, etc., which may affect the accuracy of recognition. In the face of complex scenes such as dark and similar scenes, the recognition rate is not good. good

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0018] A kind of pedestrian analysis intelligent cloud platform of the present invention, it comprises:

[0019] Face analysis engine, used to analyze the identity and attribute characteristics of the face;

[0020] Pedestrian analysis engine, used to analyze the attribute characteristics of various parts of pedestrians;

[0021] Hybrid analysis engine, used for unified analysis, modeling and model storage of face and pedestrian data in characteristic spatio-temporal scenarios;

[0022] The training engine is used to continuously update the model performance of the cloud platform, and the training input data is automatic + manual;

[0023] Cloud computing architecture, architecture for SaaS architecture and software engineering part of data cach...

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 discloses an intelligent cloud platform for pedestrian analysis. The intelligent cloud platform comprises a face analysis engine which is used for carrying out the analysis of the identity characteristics and attribute characteristics of a face, a pedestrian analysis engine which is used for analyzing the attribute characteristics of each part of the pedestrian, a hybrid analysis engine which is used for performing unified analysis modeling and model storage on the face and pedestrian data under the characteristic space-time scene, a training engine which is used for continuouslyupdating the model performance of the cloud platform, and the training input data is in an automatic and manual mode, and a cloud computing architecture which is used for an SaaS architecture and anarchitecture of a software engineering part of data caching, storage and request agency. For the intelligent cloud platform for pedestrian analysis, the face recognition technology and the pedestrianre-recognition technology are combined; far and near pedestrians in a scene are detected, recognized and structurally analyzed; and the integrated identity recognition based on the face and pedestriancharacteristics can improve the accuracy of pedestrian recognition and can better adapt to richer scenes and user requirements.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an intelligent cloud platform for pedestrian analysis. Background technique [0002] With the rapid development of deep learning, computer vision has become the most important technology in the field of artificial intelligence. Computer vision is regarded as an important branch of artificial intelligence, which is equivalent to the gate of artificial intelligence. In artificial intelligence, visual information is much more important than hearing and touch. 70% of the activity of the human cerebral cortex is processing visual information, and since artificial intelligence aims to allow machines to think and process things like humans, computer vision technology has played a large role. Computer vision refers to the machine vision that uses cameras and computers to simulate human vision to identify, track, measure, etc., and do further graphics processing through recogniti...

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
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/168G06V40/10G06F18/214
Inventor 赵以民郑亚兴黄小平
Owner 苏州书客贝塔软件科技有限公司
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com