Wuhan Homsh Technology Co.,Ltd.
Iris recognition chip innovator biometric product provider
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Product Features:
Ø Non-contact recognition, safe and hygienic
Ø Based on hemoglobin absorption infrared imaging technology, ultra-high security
Ø Captures subcutaneous vein features of the palm, protecting personal biometric privacy information
Ø 0.2S ultra-fast recognition, rapid experience
Ø Supports 360° palm rotation for a superior experience
Ø Intelligent AI recognition engine, fail-safe
Ø 12-25cm ultra-wide effective recognition distance
Ø Palm visualization guidance, convenient and fast
Ø USB2.0 interface, strong compatibility
Ø Designed with a compact size of 32*32*11mm, highly adaptable
Ø supports Windows/Linux/Android system mainboard
Ø Provides interface calling documentation for easy secondary development
Application Scenarios
Ø Various hardware products that require the integration of palm vein recognition modules
Ø Access control attendance machines, payment machines, passageway turnstiles, lockers, gun cabinets, equipment cabinets, and other non-contact identity recognition scenarios
Technical Specifications
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No. |
Specification Item |
Description |
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1 |
Working Mode |
Palm vein (1:N recognition) Palm vein (1:1 verification) |
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2 |
Recognition Speed |
1:N mode:<1S (N=5,000 ID) 1:1 mode:<0.2S Note: This indicator is based on the standard software and hardware environment of this product, calculated based on single-hand collection per person, and the actual speed is related to the performance of the upper computer motherboard. |
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3 |
Recognition Rate |
False Rejection Rate (FRR)<0.01% False Acceptance Rate (FAR)<0.001% Note: This data is from laboratory testing, and actual data may vary depending on environmental factors of the usage scenario. |
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4 |
Recognition Angle |
Horizontal Rotation Angle: 360° Horizontal Tilt Angle: ±20° |
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5 |
Recognition Distance |
Non-contact Effective recognition distance 120mm-250mm Note: Based on standard palm size measurement, different environments and palm sizes may result in differences in effective recognition distance. |
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6 |
User ID Number |
Recommended not to exceed 10,000 ID (single hand mode) |
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7 |
Image Type |
Near-infrared grayscale image |
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8 |
Distortion Rate |
＜1% |
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9 |
Communication Interface |
USB2.0 (5P 1.25mm pitch) |
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10 |
System Support |
Windows/Android/linux(ubuntu debian) |
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11 |
Power Supply Requirements |
5V±3%/500mA |
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12 |
Application Scenarios |
Indoor, avoid sunlight exposure, and avoid being directly opposite to doors and windows at a close distance. |
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13 |
Applicable Population |
Recommended for people over 12 years old |
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14 |
Lighting Environment Requirements |
Natural light (sunlight) |
Registration:<2000Lux, Recognition:<3000Lux |
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Fluorescent light |
Registration:<2000Lux, Recognition:<3000Lux |
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Incandescent/Halogen light |
Registration:<500Lux, Recognition:<700Lux |
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15 |
Operating Temperature |
-10℃～60℃ (ambient temperature) |
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16 |
Operating Humidity |
Relative humidity 10%~95%, no condensation |
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17 |
Dimensions |
32*32*11mm (length*width*height) (bare board) |
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18 |
Third-party Integration |
Provides interface calling documentation for third-party system |
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