NEMIX RAM DDR5-5600 2TB (16x128GB) ECC RDIMM CL46 1.1V Supermicro H14SST-G memory upgrade
- 2TB (16 x 128GB)
- 288-Pin DDR5 RDIMM
Vi tar imot kryptovaluta — slik kan kryptovalutaene du eier, kjøpe ekte maskinvare.Betal med krypto, bruk den på ekte maskinvare. Gratis, forsikret levering verden over for bestillinger over 399 $. Nøytrale kartonger uten merking, sendt fra Tyskland.Gratis, forsikret levering over 399 $. Kursen din er låst i 30 minutter når kassen åpnes.Kurs låst i 30 minutter. Alle varer er forseglet, serienummerkontrollert og dekket av 24 måneders garanti.Forseglet, 24 måneders garanti.
LORDWORLD
Capacitive fingerprint reader module with UART and USB interfaces for enrolment, matching and image processing, plus example code for Raspberry Pi, Arduino and STM32
This development board integrates a high-precision capacitive fingerprint reader for enrolling, matching and searching fingerprints. It targets makers and engineers building biometric access control, attendance or identity-verification projects on embedded platforms. The module handles all fingerprint algorithms internally, so no specialist knowledge of fingerprint technology is required.
Control the reader through a compact command set over either UART or USB; no low-level algorithm work is needed. Rich development resources including command documents, tools and example code for Raspberry Pi, Arduino and STM32 accelerate integration. The only common pitfall is wiring the chosen serial interface incorrectly, which prevents communication until the TX/RX lines or USB enumeration are corrected.
The board exposes both UART and USB ports, letting you select the link that best suits your host controller. This dual-port flexibility is the single specification that determines whether the module fits your existing hardware design. Buyers whose host offers neither a spare UART nor a USB host/device port will need a different fingerprint solution.
| Brand | LORDWORLD |
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Send a simple command over UART or USB; the module returns a status packet and the LED indicates a successful capture without needing to press the sensor.
The development board itself is included; you must supply a host such as a Raspberry Pi, Arduino or STM32 plus the appropriate UART or USB cable.
Only the (B) variant is listed, offering dual UART and USB ports plus 32 Kbyte fingerprint storage for enrolling, matching and image transfer.
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