TURBIDITY SENSOR
- Working voltage: DC5V
- Measure water turbidity and estimate water quality
- Operating Current: 30mA (MAX)
- Response time : <500ms
- Digital and analogue output
- High level: 5V, low level: 0V
- Operating temperature: -30 to 80 degrees C
- Storage temperature:-10 to 80 degrees C
- Compatible with Arduino, Raspberry Pi, AVR, PIC, etc.
- Weight: 15g
pH Sensor Module & pH electrode Probe for Arduino, AVR, PIC
- Module Power: DC 5.00V.
- Measuring Range: 0-14PH.
- Accuracy: 0.01 pH
- Response Time: ≤ 1min.
- Industry pH Electrode with BNC Connector.
- Power Indicator LED.
- Output: Analog values in the range of (0.5V to 3V).
- Alkali Error: 0.2PH.
- Internal Resistance: 250MOhm.
- Gain adjustment Potentiometer.
- Measuring Temperature: 0 degrees to 50 degrees C
- Terminal Blocks: BNC plug.
- BNC Connector is suitable for most pH meters and controllers.
- Suitable for a wide range of applications: Aquariums, Hydroponics, Laboratory etc.
- Module Size: 50 x 47 x 16mm
R305 Optical Fingerprint Reader Sensor Module
- Power DC: 3.6V-6.0V
- Interface : UART (TTL logical level)/ USB 1.1)
- Working current: 100mA
- Peak Current: 150mA
- Matching mode (1: 1)
- Search method (1: N)
- Connecting cable length (cm): 8.5
- Baud rate (9600*N)bps, N=1-12 (default N=6 57600bps)
- Character file size: 256 bytes
- Image acquiring time: <0.5s
- Template size: 512 bytes
- Storage capacity: 256
- FAR : <0.001%; FRR: <0.1%
- Average searching time: < 0.8s (1:880)
- Working environment: Temp: -10degree to +40degree C
- Storage environment Temp: -40degree to +85degree C
- RH: 40%-85% RH: <85%
- Integrated image collecting and algorithm chip together, ALL-in-One.
- 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 a resolution of 500 dpi.
- Window dimension : 18mm*22mm
- Optical module: 49 x 20 x 21.20 mm
- Touch Sensors: 18 x 14.5 mm.
- Weight: 16gm
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).
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.