Mobile phone defect inspection vision device based on deep learning
A defect inspection and deep learning technology, applied in optical testing flaws/defects, measuring devices, material analysis by optical means, etc., can solve the problems of long development cycle, few identification items, slow detection speed, etc., to achieve low equipment cost , the effect of high recognition rate and fast detection speed
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0017] Please refer to the figures, the present invention provides a technical solution: a visual device for mobile phone defect inspection based on deep learning, including a bracket 1, a guide groove 2 is provided on the bracket 1, an image acquisition device 3 is also provided on the bracket 1, and the bracket 1 is also provided with an online positioning trigger device 4, and an operation box 5 is provided under the support 1.
[0018] Preferably, the numb...
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