Finger print Scanner Module – TTL (GT-521F32)
- Operating Voltage: 3.3V to 6V DC
- Simple UART & USB communication protocol.
- Complies with USB 2.0 full-speed specification.
- Ultra-thin optical sensor.
- Finger window: 12.9 x 16.9 mm.
- Image Size: 258 x 202 Pixels.
- Resolution 450 dpi.
- Capable of 360° recognition.
- Storage for 200 unique fingerprints.
- False Acceptance Rate (FAR): <0.001%
- False Rejection Rate (FRR): <0.01%
- Wake up on Finger Function.
- CPU: ARM Cortex M3 Core MCU).
- Ultra-thin Optical Sensor.
- Works well with dry, moist or rough fingerprints
- Anti-scratch with surface high hardness ≧5
- 1:1 verification, 1:N identification.
- High accuracy and high-speed fingerprint identification technology.
- External UART-to-USB converter required (TX & RX levels: 3.3V).
Fingerprint Scanner TTL GT511C3 – 3.3V to 6V
- Model: GT-511C3
- Operating Voltage(VDC): 3 to 6
- CPU: ARM Cortex M3 Core (Holtek HT 32F2755)
- Sensors: Optical
- Image Size: 202 x 258 Pixel
- Resolution: 450 DPi
- Effective Scanning Area(mm): 20 x 16
- False Acceptance Rate (FAR): 0.001%
- False Rejection Rate(FRR): < 0.1%
- Operating Temperature : -20°C ~ +60°C
- Default Baud Rate: 9600bps
- High-Speed, High-Accuracy Fingerprint Identification using the Smack Finger 3.0 Algorithm
- Read and Write Fingerprint Templates and Databases
- Simple UART protocol (Default 9600 baud)
- Capable of 1:1 Verification and 1:N Identification
- High-accuracy & high-speed fingerprint identification technology.
- Works well with dry, moist, or rough fingerprints.
- 200 fingerprints storage.
- Easy one-touch enrolment.
- Dimensions(mm): 37 x 17 x 9.5
- Weight: 6gm
Black 2M Usb 6 Led Waterproof Borescope Endoscope Inspection Tube Camera
Speech Recognition Module
- Working voltage: 3.3/5V
- Local Voice Recognition
- Very low rate of false triggering
- Speaker connector(JST2.0, the speaker is not included)
- Built-in microphone
- 22 recognition entry
- Default Baud rate: 9600
- Flash: 2Mbytes
- Microphone Sensitivity: -40dB
- Microphone SNR: 58dB
- Operating temperature: 0 – 85 degrees C
Pixy2 CMUcam5 Smart Vision Sensor – Object Tracking Camera for Arduino, Raspberry Pi, BeagleBone Black
- Pixy2 detects lines, intersections and small barcodes, intended for line-following robots.
- Improved framerate – 60 frames-per-second.
- Tracking algorithms have been added to colour-based object detection.
- Improved and simplified libraries for Arduino, Raspberry Pi and other controllers
- Integrated light source.
- The small, fast, easy-to-use, low-cost, readily-available vision system
- Learns to detect objects that you teach it
- Connects to Arduino with the included cable. Also works with Raspberry Pi, BeagleBone and similar controllers.
- Supports C/C++ and Python
- Communicates via one of several interfaces: SPI, I2C, UART, USB or analogue/digital output.
- Configuration utility runs on Windows, macOS, and Linux.
- All software/firmware is open-source GNU-licensed.
- Dimensions: 43mm x 39mm x 16mm
- Height of Camera: 4mm / 0.16""
- Weight (no IDC cable, no screws): 10g.