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Taidacent Colorful Circular Flashing Light Fingerprint Lock Module AS608 Fingerprint Sensor Recognition STM32 Dev Board (Capacity 50 Fingerprints)
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*Price and Stocks may change without prior notice
*Packaging of actual item may differ from photo shown
- Electrical items MAY be 110 volts.
- 7 Day Return Policy
- All products are genuine and original
- Cash On Delivery/Cash Upon Pickup Available
Taidacent Colorful Circular Flashing Light Features
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This fingerprint module has a colorful breathing light, and the interface is SH1.0-6P
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It has the characteristics of small size, low power consumption, simple interface, high reliability, fast recognition speed, good adaptability to wet and dry fingers, and fast fingerprint search speed.
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When the fingerprint image is read, it has sensitive response and judgment to wet and dry fingers, and obtains the best imaging quality, which is suitable for a wide range of people.
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The self-learning adaptation function can also be customized, and the parameters can be automatically adjusted according to the user's habits, climate, etc., to achieve better matching. It has a self-learning function. In the process of fingerprint recognition, the new fingerprint feature value is extracted after the recognition is successful and the feature value is merged into the previous fingerprint feature. The more you use it, the better it is in actual use.
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The module also has the function of sensing fingers. When the finger presses on the fingerprint collection surface, the Touch pin of the module outputs a high level. The communication interface of the module is a UART communication interface. This module is used as a slave device, and the master device sends related commands to control it. The module has an adjustable security level function, fingerprint characteristic data read/write function.
About Taidacent Colorful Circular Flashing Light
Parameter Image size: 8mmx8mm Image pixels: 160*160 Resolution (dpi): 508 Sensor wear times: >100,000 times Storage capacity: 300 fingerprints Matching method: 1:1,1:N Is there a self-learning: yes Fingerprint image acquisition time:
