Green channel vehicle cargo carrying radioactive source image identification method based on convolutional neural network
A convolutional neural network and image recognition technology, applied in the field of image recognition, can solve the problems of difficult to become an inspection method, low accuracy, long time consumption, etc., and achieve the effect of solving memory explosion, reducing work intensity and reducing congestion.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0045] The present invention will be further described below in conjunction with the drawings:
[0046] See Figure 1 to Figure 4 , The image recognition of radioactive sources of cargo carried by Green Tow vehicles based on convolutional neural networks mainly includes the following four parts, which are the preprocessing of radioactive source images of cargo carried by Green Tow vehicles; the design of the image recognition model for radioactive sources of cargo carried by Green Tow vehicles; Source image recognition model tuning; verification of experimental results.
[0047] The details of each part are as follows:
[0048] 1. The preprocessing of radioactive source images of the cargo carried by Greenway
[0049] The preprocessing of radioactive source images of the cargo carried by Lutong vehicles mainly includes data cleaning, cargo area segmentation, noise reduction processing, data enhancement and channel conversion.
[0050] Cleansing of radioactive source image data of carg...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap