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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Iris recognition is an automated type of biometric identification that makes use of mathematical pattern-recognition techniques using video images of one or both of a person's iris, which have intricate patterns that are distinct, stable, and visible from a distance.
Iris recognition uses video camera technology with subtly lit near infrared illumination to capture photos of the iris' delicate, highly detailed exterior features.
The identification of a person or a fraudster impersonating that person is possible thanks to digital templates encoded from these patterns by mathematical and statistical algorithms.
The Global Iris Recognition Camera market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Iris recognition expert IrisGuard introduced a new generation of iris cameras for integrating biometrics with ATMs and kiosks whether they are located indoors or outside.
According to the manufacturer, the EyeTrust II matches in less than three seconds and provides 100 percent proof-of-life based only on the iris after quickly scanning both irises. A transaction doesn't require the use of another ID token.
It can be used for both biometric recognition and registration; it simply connects with different software for each function, hooking in via IrisGuard's third-generation optical platform.
Because of this, Windows 10 can use it. Although earlier camera mounts for ATMs and kiosks were functional, installation required a lot of time and money.
The criticism of employing earlier generations in Jordan, which also required a biometric device that could be retrofitted to existing kiosks, served as the basis for the new design.
By positioning the camera at the top of the information screen, in the user's line of sight, the picture capture has been improved, resulting in a quicker procedure because the user no longer needs to move about to do scanning.
The Eye Trust II was designed using a lot of the experience gained from years of designing iris-recognition cameras. Since all of their cameras are essentially custom, the UK has also been responsible for developing the cameras' optics.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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