Human Sensing Venture Unit
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Industry's fastest processing speed |
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FSE offers high performance even on CPUs with lower clock frequencies. FSE enables not only face detection but also face recognition on mobile devices such as digital cameras and mobile phones.
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Supporting Multiple-face Detection Functionality |
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FSE realizes multiple-face detection in real-time from still images and videos taken with a camera.
This enables not only the counting of people on a photograph, but also speedy searches of multiple face images for specific persons and the detection of positions and names.
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Robust against changing environments |
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| FSE is robust against changing environments (e.g. illuminations), and enables face detection and face recognition with high accuracy even in variable environments on mobile devices. |
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Compact Design |
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| Compact size is optimal for embedding purposes. Also, the program is written in C language and does not use any standard library. |
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Realizing High Portability |
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| The operation of the engine has been verified in a broad range of platforms (CPU: ARM9, SH-4 and others; OS: Symbian, Windows Mobile, Linux, BREW, WIPI, uITRON, Solaris and others). |
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Highly reliable FSE-embedded products/services |
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| FSE has been adopted in various products and services in various markets worldwide, such as face recognition AF for digital cameras, face login authentication for mobile devices, face action based game software, face training for handheld game console, mobile content services using face images, etc, and is recognized as one of the best face recognition engines available. |
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Customers can choose required functions |
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| Customers can choose required functions, i.e. face detection, feature point extraction, and face recognition, depending on their applications, allowing them to use FSE with minimum required program size. |
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| -The company names and product names listed are generally trademarks or registered trademarks of the respective company. |
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