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SwiftID CFS Fingerprint Reader
SwiftID CFS Fingerprint Reader
The Pain Points for Traditional Systems

Contact based rolled fingerprint capture is slow, prone to errors and often results in smeared images.

Contact-based methods struggle with dry, aged, or excessively moist skin, leading to inconsistent data capture.

The result of contact-based systems: slow acquisition of fingerprints, smearing, lower skin area and less convenience

SwiftID ensures a smooth transition for agencies using legacy contact-based systems, allowing a hybrid fingerprint database




CFS Fingerprint Reader
| Touchless Fingerprint Reader: Hand-presence-detection, auto-capture |
| Sensor Type Microsoft 3D capture / image conversion of 3D data into‚ contact-based likeʼ 2D grayscale image |
| Capture Area 81,3 x 76,2mm |
| User Interface: User guidance via audio, LED feedback, pictograms |
| Capture Modes: Flat fingerprints including thumbs (e.g. 4/4/2 workflow) |
| Image resolution 500 DPI |
| Image size: 1600 x 1500 pixels (FAP60) |
| Grayscale 256 guidance dynamic range (8bit integer) |
| Supported Image Formats PNG, JPEG2000, BMP WSQ |
| API Interface Python & C++ |
| Ingress protection (water & dust) IP54 |
| Scan Speed < 100ms |
| Live preview > 1fps |
| Output final image ˜ 3s |
| Temperature: -10°C to 55°C (14°F to 131°F) |
| Humidity: 10% to 80% (non-condensing) |
| Ambient Light: 100.000 lux |
| Robust capture of all skin types |
| Storage Temperature: -40°C to 80°C / -40°F to 176°F |
| Height | 202mm |
| Width | 152mm |
| Depth | 152mm |
| Verification & identification |
| USB 3.0 |
| Windows 10/11 (64 Bit) |
| 12 V DC. 7.5 A, external power supply |
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