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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
AI virtual mouse technology that uses computer vision to perform mouse functions on a computer by detecting hand gestures and hand tips. The major goal of the suggested system is to employ a web camera or a built-in camera in the computer to conduct computer mouse cursor functions and scroll functions rather than a conventional mouse device. As an HCI with the computer, hand gesture and hand tip detection are done using computer vision.
The Global Al Virtual Gesture Sensor 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.
Elliptic Labs declares that its AI Virtual Gesture Smart Sensor Platform is compatible. This AI Virtual Smart Sensor Platform gives OEMs the ability to develop chic new form factors, add cutting-edge touchless gestures, and improve the security of the deviceâall while conserving energy, cutting costs, preventing unauthorised access to the device, and adding functionality.
In order to construct AI Virtual Smart Sensors, Elliptic Labs uses patented algorithms, unique machine learning (ML) tools, and sensor fusion.
By removing the need for hardware infrared (IR) sensors and replacing them with the INNER BEAUTY AI Virtual Proximity sensor, which uses the device's other existing hardware sensors to provide software-based proximity detection, OEMs are now able to design bezel-less full-screen mobile devices with cleaner designs.
They are thrilled to be collaborating with Qualcomm Technologies to provide their AI Virtual Smart Sensor Platform for gadgets powered by the Snapdragon 865.
A growing number of OEMs are finding that they need to include innovative and useful new features to differentiate their products in the highly competitive smartphone market.
Elliptic Labs offers these crucial experiences to major OEMs as a pioneer and leader in this field. Our ability to provide this value to OEM partners will only be accelerated and improved by our partnership with Qualcomm Technologies.
Manufacturers will be expected to introduce new smart experiences that don't require additional hardware sensors or power usage as the smartphone market grows and customers' expectations of smartphone features and capabilities rise.
| 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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