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

Fused image software processing platform based on OpenCV (open circuit voltage) and TensorFlow

A software processing and image fusion technology, applied in image data processing, image enhancement, computer parts and other directions, can solve problems such as insufficient machine learning, and achieve the effect of optimizing feature extraction and ensuring recognition accuracy.

Inactive Publication Date: 2020-06-09
中山德著智能科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

OpenCV can solve computer vision problems in real time. It is very powerful in image processing, but it has shortcomings in machine learning and only has a limited number of algorithms.

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
  • Fused image software processing platform based on OpenCV (open circuit voltage) and TensorFlow

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted here that the descriptions of these embodiments are used to help understand the present invention, but are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

[0016] like figure 1 Shown, in the general scheme figure of a kind of fusion image software processing platform based on OpenCV and TensorFlow of the present invention, this fusion image software processing platform based on OpenCV and TensorFlow comprises OpenCV, TensorFlow, camera driver, GPIO driver and network port, the The camera driver, GPIO driver and network port are all connected to the OpenCV and TensorFlow. The OpenCV is used to preprocess the picture; the Te...

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 a fusion image software processing platform based on OpenCV and TensorFlow, and the platform comprises OpenCV and TensorFlow, and the OpenCV is used for the preprocessing of apicture; wherein the TensorFlow is used for carrying out feature extraction on a picture through a network model and extracting feature vectors by utilizing Euclidean distances and curvatures betweenfeature points; and then the extracted feature data are compared with a corresponding standard value, a comparison result is transmitted to a platform through a communication module, and the platformexecutes corresponding operation according to the comparison result and presents the corresponding result to a user on an interface. According to the platform, most computer vision problems can be solved in real time under the condition that the accuracy is guaranteed, the image is preprocessed before image recognition, so that the feature extraction effect is optimized, and the recognition accuracy is guaranteed.

Description

technical field [0001] The invention relates to the technical field of image detection and recognition, in particular to a fusion image software processing platform based on OpenCV and TensorFlow. Background technique [0002] At present, two methods are mainly used to solve the problem of target detection and recognition: one is the computer vision library OpenCV; the other is a deep learning framework (such as TensorFlow). OpenCV can solve computer vision problems in real time and is very powerful in image processing, but it has shortcomings in machine learning and only has a limited number of algorithms. The deep learning framework TensorFlow can implement various deep learning algorithms well, and the accuracy of target recognition is relatively high. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a fusion image software processing platform based on OpenCV and TensorFlow, which can solve most computer visio...

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): G06T5/00G06K9/46G06K9/62
CPCG06V10/40G06F18/22G06F18/2411G06T5/00
Inventor 江昊王斌江威邓嵩源
Owner 中山德著智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com