1.Patent Mining
1.1 Patent Search
1.1.1 Selecting a Patent Database
1.1.2 Identifying Search Keywords
1.1.3 Data Selection
1.1.4 Data Analysis
2.Trends Analysis Using Data Mining
2.1.1 Analysis of Trends by Country
2.1.1 Analysis of Trends by Sector and Field
2.1.2 Analysis of Trends by Key Technology
2.1.3 Analysis of Trends by Relevant Technology
3.Conclusion
3.1 Most Smart Image Sensing Patents Focus on Computer Technology
3.2 Natural Language Data Processing is the Most Commonly Used AI Patent for Smart Image Sensing
3.3 30 Key Image Detection Technologies Focus More on Patterns Recognition and Image Data Processing
Appendix
Glossary of Terms
List of Companies

Analysis of 1,777 smart image sensing patents by technology field using the data mining technique

Trend analysis of the global smart image sensing patent distribution by country, sector and field, and by key and relevant technology

Matrix analysis of smart image sensing key technologies and image detection technology, which comprises of three features: patterns recognition, image data processing, and defect classification

Figure 1 Smart Image Sensing Patent Distribution Share by Country: International Assignees
Figure 2 Smart Image Sensing Patent Distribution Share by Field: International Assignees
Figure 3 Smart Image Sensing Patent Distribution by Field: Taiwanese Assignees
Figure 4 Smart Image Sensing Patent Distribution by Key AI Technology: International Assignees
Figure 5 Smart Image Sensing Patent Distribution by Key AI Technology: Taiwanese Assignees
Figure 6 Smart Image Sensing Patent Distribution by Key Relevant Technology: International Assignees
Figure 7 Smart Image Sensing Patent Distribution by Key Relevant Technology: Taiwanese Assignees

Table 1 Smart Image Sensing and AI Technology Matrix: International Assignees
Table 2 Smart Image Sensing and AI Technology Matrix: Taiwanese Assignees