There are vrious type of RFID,finger print module for your project need
Showing all 10 results
13.56MHz RFID IC Key Tag – 2Pcs
Rated 0 out of 5
0 Reviews- Material: ABS,
- Dimension(LxWxH): 43.7×30.5×5.3mm,
- Response Frequency: 13.56MHz,
- Chip type: FM1108 Fudan Chip,
- Memory capacity: 8 kbit,
- Designed for the RFID 13.56MHz duplicator. can copy all the ID card, such as Access Card, District Card, Parking etc.
Contactless RFID Card Reader 125KHz USB Configurable EM Proximity
Rated 0 out of 5
0 Reviews- Frequency: 125Khz.
- Support μEM4001, 4100, or its compatible RFID, ID card.
- Read first 10 digits of the RFID/Proximity card.
- Support Windows95/98/2000/XP/7/8.
- Plug and Play
- Reliable working condition
- Powered directly from USB, no need external power supply
EM18 RFID Reader Module For Arduino
Rated 0 out of 5
0 Reviews
This module directly connects to any microcontroller UART or through an RS-232 converter to PC.It gives UART/Wiegand26 output. This RFID Reader Module works with any 125 KHz RFID tags
Fingerprint Reader Sensor Module R307
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0 Reviews
Integrated image collecting and algorithm chip together, ALL-in-One.The fingerprint reader can conduct secondary development, can be embedded into a variety of end products.Low power consumption, low cost, small size, excellent performance.Professional optical technology, precise module manufacturing techniques. Good image processing capabilities can successfully capture an image up to resolution 500 dpi
NFC Sticker 13.56MHz RFID Tag - Ntag 213 - 5PCs
Rated 0 out of 5
0 Reviews- Size: 25 x 25 mm
- Operating Frequency: 13.56 MHz
- EPROM: 144 Bytes
- Small coin size tag
- Type: Sticker
RDM6300 125KHz EM4100 RFID Card ID Reader Module
Rated 0 out of 5
0 Reviews
Maximum effective distance up to 150mm, Less than 100ms decoding time, Support external antenna, Uart interface, Support EM4100 compatible read-only or read/write tags, Small outline design
RFID Clamshell Card/Tag 125KHZ- 10 PCS
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0 Reviews
This is 125K RFID Tag. The RFID technology is used for sensing and identifying tagged people and objects for access control, automation, and a whole range of different applications