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Smart Image Sensing: Patent Distribution, Market Trend and Opportunity Analysis

  • ID: 4380125
  • Report
  • August 2017
  • Region: Global
  • 18 Pages
  • Market Intelligence & Consulting Institute (MIC)
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Applications of Smart Image Sensing Include Industrial Visual Design, Crime Prevention and Control, Traffic Control, Fraud Detection, Malignant Lesion Screening, and Customer Behavior Analytics

Smart image sensing is made up of AI (Artificial Intelligence) technology combined with patterns recognition, image data processing, defect classification, and other image detection technologies. Its applications include industrial visual design, crime prevention and control, traffic control, fraud detection, malignant lesion screening, and customer behavior analytics.

This report provides an overview of smart image sensing patent analysis by country and field.

Key technologies and patent assignees are also examined in the report with insights about market opportunities and challenges for newcomers.

List of Topics:

  • 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
Note: Product cover images may vary from those shown
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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

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

List of Figures:
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

Note: Product cover images may vary from those shown
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Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:

Method

  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases

Methodology

  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis

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