CAMA fingerprint identification module
Product Description
CAMA-SM12 outstandingly features self-learning function. During the fingerprint verification process, the latest collected fingerprint features would be integrated into the fingerprint database automatically so that the users would obtain better and better fingerprint verification result.
Features:
◆ UART communication port
◆ Achieving fingerprint enrollment and verification at the condition of minimum storage
◆ Optical total reflection fingerprint sensor
◆ 1:N verification and 1:1 identification function
◆ Self-learning function of the fingerprint features
◆ Able to collect fingerprint and upload its features so as to achieve matching function with current fingerprint
◆ Able to set baud rate and equipment Number
◆ Access to standby situation by instruction control module
Parameters:
| Parameter |
Description |
| CPU |
AS602 |
| Flash memory |
16MB |
| Sensor |
CAMA optical sensor, Precise optical total reflection |
| Glass Material |
K9 |
| Scan Area |
18mm X 22mm |
| Fingerprint image |
210 x 250 (pixel) |
| Resolution |
500dpi |
| Fingerprint capacity |
3000 |
| FAR |
< 0.001% |
| FRR |
<0.1% |
| Fingerprint template |
496 bytes |
| Identification speed |
1:1 <0.5S; 1:N (2000 fingerprints) <0.9S |
| Work Supply |
DC 3.3V |
| Work Current |
< 100mA |
| Work temperature |
-10 ℃- 60 ℃ |
| Work humidity |
20%– 80% |
| Dimensions |
SM12:58*23*22mm |
Product Image
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