Method for routinely inspecting illegal parking through unmanned aerial vehicles based on neural network model
A neural network model and illegal parking technology, which is applied in the field of unmanned aerial vehicle inspection illegal parking based on neural network model, can solve the problems that the vehicles behind cannot pass normally, the parking management is complicated, and it cannot meet the needs of large parking lots.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0026] The present invention will be further described below in conjunction with specific examples.
[0027] A neural network model-based method for unmanned aerial vehicles to inspect illegal parking. Based on the image recognition algorithm in deep learning, a specific deep learning model is trained, and the model is applied to the unmanned aerial vehicle system. , The method of automatic cruise and parking space detection realizes the detection of illegal parking behaviors in the parking lot, checks the parking position of the vehicle, the direction of the front of the vehicle, whether it blocks the road, etc., and automatically takes pictures of the illegal vehicles to collect evidence.
[0028] Image recognition algorithm is the process, analysis and understanding of images by computers to identify targets and objects in various patterns, that is, to allow computers to understand the content of images like humans. With the help of image recognition technology, we can not ...
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, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com