Sensors - Bio-metric, Rotation & Current

Product Details:

The Ecg module AD8232 heart ECG monitoring sensor module Kit For Arduino is a cost-effective board use to measure the electrical activity of the heart. This electrical activity can be chart as an ECG or Electrocardiogram and output as an analog reading.

ECGs can be extremely noisy, the AD8232 Single Lead Heart Rate Monitor acts as an op-amp to help obtain a clear signal from the PR and QT Intervals easily. The ECG module AD8232 heart ECG monitoring sensor module is an integrated signal conditioning block for ECG and other bio-potential measurement applications.

The ECG Module AD8232 Heart ECG Monitoring Sensor Module Kit for Arduino is designed to extract, amplify, and filter small bio-potential signals in the presence of noisy conditions; such as those created by motion or remote electrode placement.

The AD8232 Heart Rate Monitor breaks out nine connections from the IC that you can solder pins, wires, or other connectors too. SDN, LO+, LO-, OUTPUT, 3.3V, GND provide essential pins for operating this monitor with an Arduino or other development board.

Application

1. Fitness and exercise heart rate monitoring
2. Portable ECG
3. Remote health care
4. Gaming peripherals
5. Biological signal acquisition

 

Note: This product is NOT a medical device and is not intended to be used as such or as an accessory to such nor diagnose or treat any conditions. 
Features :

1. Designed to extract, amplify, and filter small biopotential signals in the presence of noisy conditions, such as those created by motion or remote electrode placement.
2. Single Lead Heart Rate Monitor is a cost-effective board used to measure the electrical activity of the heart.
3. AD8232 is an integrated signal conditioning block for ECG and other biopotential measurement applications.
4. ECGs can be extremely noisy, the AD8232 Single Lead Heart Rate Monitor acts as an op-amp to help obtain a clear signal from the PR and QT Intervals easily.
5. This electrical activity can be charged as an ECG or Electrocardiogram and output as an analog reading.
6. Leads-Off Detection.
7. Shutdown Pin.
8. LED Indicator.
9. Analog Output.
10. 3.5 mm Jack for Biomedical Pad Connection.

Additional Information:

• Item Code: AD8232

Product Details:

Introduction:Through testing the electrocardiography (EMG), measurement of muscle activity has been used in medical research, however,With the appearance of more and more powerful micro controller and the integrated circuit, the electrocardiography and sensors can be used in all kinds of control system.Sensors will measure the filter, the rectification of electrical activity in the muscle 0 - Vs v, output size depend on the muscle activity.Easy to use Ard controller detects muscle movements Features:small Designed for micro controller-compatible with Bread board Power supply voltage: dual power supply + 9 V power supply, minimum + 3.5 V
Packing list:1 x muscle sensor module1 x professional EMG connect cable3 x disposable electrode

Additional Information:

• Item Code: EMGSEN

Product Details:

The device consists of a precise, low-offset, linear Hall circuit with a copper conduction path located near the surface of the die. Applied current flowing through this copper conduction path generates a magnetic field which the Hall IC converts into a proportional voltage.

1. The current sensor chips: ACS712ELC-30B;
2. Pin 5V power supply, on-board power indicator;
3. The module can be measured plus or minus 30 amps, corresponding to the analog output of 185 mV / A;
4. There is no the detection current through, the output voltage is VCC / 2;
5. PCB board size: 31 (mm) x13 (mm);

Product Details:

Description
Voice Recognition Module is a compact and easy-control speaking recognition board.
This product is a speaker-dependent voice recognition module. It supports up to 80 voice commands in all. Max 7 voice commands could work at the same time. Any sound could be trained as command. Users need to train the module first before let it recognizing any voice command.
This board has 2 controlling ways Serial Port (full function), General Input Pins (part of function). General Output Pins on the board could generate several kinds of waves while corresponding voice command was recognized.
What are the updated features
We already have Voice Recognition module V2 and it supports 15 commands in all and only 5 commands at the same time.
On V2, voice commands are separated into 3 groups while you training it. And only one group (5 commands) could to be imported into Recognizer. It means only 5 voice commands are effective at the same time.
On V3, voice commands are stored in one large group like a library. Any 7 voice commands in the library could be imported into recognizer. It means 7 commands are effective at the same time.
Parameter
Feature
1Support maximum 80 voice commands, with each voice 1500ms (one or two words speaking)
2Maximum 7 voice commands effective at same time
3Arduino library is supplied
4Easy Control UART/GPIO
5User-control General Pin Output

Additional Information:

• Item Code: VOICEREG

The ADXL335 is a small, thin, low power, complete 3-axis accelerometer with signal conditioned voltage outputs. The product measures acceleration with a minimum full-scale range of ±3 g. It can measure the static acceleration of gravity in tilt-sensing applications, as well as dynamic acceleration resulting from motion, shock, or vibration. This breakout board comes with an on-board voltage regulator and works at both 3.3V & 5V (3-5V)

Product Details:

QUICK OVERVIEW

1. Operating voltage (v): 4.2 ~ 6 VDC
2. Current consumption: ≤75mA
3. Verification Speed: 0.2 sec
4. Scanning Speed: 0.3 sec
5. Character file size: 256 bytes
6. Template size: 512 bytes

This is the R307 Optical Fingerprint Reader Sensor Module. R307 fingerprint module is a fingerprint sensor with a TTL UART interface for direct connections to microcontroller UART or to PC through MAX232 / USB-Serial adapter. The user can store the fingerprint data in the module and can configure it in 1:1 or 1: N mode for identifying the person.

The FP module can directly interface with 3.3 or 5v Microcontroller. A level converter (like MAX232) is required for interfacing with PC serial port.

Integrated image collecting and algorithm chip together, ALL-in-One Fingerprint reader can conduct secondary development, can be embedded into a variety of end products. Users can conduct secondary development, can be embedded into a variety of end products, such as access control, attendance, safety deposit box, car door locks

Low power consumption, low cost, small size, excellent performance, Professional optical technology, precise module manufacturing technics. Good image processing capabilities can successfully capture an image up to resolution 500 dpi Finger detection function.

Features:

1. Integrated image collecting and algorithm chip together, ALL-in-One.
2. The fingerprint reader can conduct secondary development, can be embedded into a variety of end products.
3. Low power consumption, low cost, small size, excellent performance.
4. Professional optical technology, precise module manufacturing techniques.
5. Good image processing capabilities can successfully capture an image up to resolution 500 dpi.

Product Details:

QUICK OVERVIEW

1. Finger window: 12.9 x 16.9 mm.
2. Image Size: 258 x 202 Pixels.
3. Storage capacity: 200 fingerprints.
4. Wake up on Finger Function.
5. Anti-Scratch with surface high hardness ??? 5H.
6. Resolution: 450 dpi.
7. CPU: ARM Cortex M3 Core MCU).

There are four types of fingerprint scanner: the optical scanner, the capacitance scanner, the ultrasonic scanner, and the thermal scanner. The GT521F32 Fingerprint Scanner Module is an optical scanner module. This optical scanner takes a visual image using a digital camera.

The idle module is woken by a finger touching the metal frame of the sensor. The pictures of the fingerprints are processed on-board by the fingerprint algorithm (low power 32-bit ARM Cortex-M3 processor) and convert it into strings of data. These so-called ‘templates’ are residing on the module configured as a USB mass storage device. They can store and share through a database with other modules in a network, allowing easy enrollment of many users.

Features :

1. Ultra-thin Optical Sensor.
2. High-accuracy & high-speed fingerprint identification technology.
3. Works well with dry, moist or rough fingerprints.
4. 200 fingerprints storage.
5. Wake up on Finger Function.
6. Easy one-touch enrollment.
7. 1: 1 verification, 1: N identification.
8. Simple UART & USB communication protocol.
   external UART-to-USB converter required (TX & RX levels: 3.3V).
9. Complies with USB 2.0 full-speed (12 Mbps) specifications.
10. Reading & writing fingerprint template(s) (i.e. processed data) from/to the device.
11. Downloading the raw bitmap image from the device (catalog fingerprints).
12. Anti-Scratch with surface high hardness ??? 5H.

Product Details:

QUICK OVERVIEW

1. Storage capacity: 3000 fingerprints.
2. Finger window: 12.9 x 16.9 mm.
3. Image Size: 258 x 202 Pixels.
4. Resolution: 450 dpi.
5. CPU: ARM Cortex M3 Core MCU).

The GT521F52 Optical Fingerprint Scanner Module with JST SH Connector is a high-performance fingerprint scanner. Which is useful for to access control, security, identification, and convenience. This optical sensor module is designed for easy integration into applications with serial interface (UART). We need two wires are for TX and RX and two wires for power supply (5V).

The main difference between GT521F32 and GT521F52 is fingerprint storage capacity.

There are four types of fingerprint scanner: the optical scanner, the capacitance scanner, the ultrasonic scanner, and the thermal scanner. The GT521F52 Fingerprint Scanner Module is an optical scanner module. This optical scanner takes a visual image using a digital camera.

The idle module is woken by a finger touching the metal frame of the sensor. The pictures of the fingerprints are processed on-board by the fingerprint algorithm (low power 32-bit ARM Cortex-M3 processor) and convert it into strings of data. These so-called ‘templates’ are residing on the module configured as a USB mass storage device. They can store and share through a database with other modules in a network, allowing easy enrollment of many users.

Features :

1. Ultra-thin Optical Sensor.
2. High-accuracy & high-speed fingerprint identification technology.
3. Works well with dry, moist or rough fingerprints.
4. 3000 fingerprints storage.
5. Wake up on Finger Function.
6. Easy one-touch enrollment.
7. 1: 1 verification, 1: N identification.
8. Simple UART & USB communication protocol.
   external UART-to-USB converter required (TX & RX levels: 3.3V).
9. Complies with USB 2.0 full-speed (12 Mbps) specifications.
10. Reading & writing fingerprint template(s) (i.e. processed data) from/to the device.
11. Downloading the raw bitmap image from the device (catalog fingerprints).
12. Anti-Scratch with surface high hardness ??? 5H.

Product Details:

Split Core Current Transformer
The non-invasive AC Current Sensor (100A max - Model SCT-013-000) has no internal burden resistor, but a transient voltage suppressor limits the output voltage in the event of accidental disconnection from the burden. It is capable of developing sufficient voltage to fully drive a 5V input.

Characteristic Specifications
Opening Size (in mm) : 13 x 13
Non-Linearity : ±3 % (10 to 120% of rated input current)
Leading Cable : Length - 1 meter
Output - Standard 3.5mm Audio Jack with three core (TRS) plug
Core Material : Ferrite
Mechanical Strength : the number of switching is not less than 1000 times (test at 25?)
Safety Index : Dielectric strength (between shell and output) 1000V AC/min
Fire resistance property: In accordance with UL94-Vo
Switching Angle : 180°

Product Details:

Heart Rate data can be used in many Electronic design and microcontroller projects. But the heart rate data is difficult to read, however, the Pulse Sensor Amped help us to read heart rate. The Heart Beat Pulse Sensor Amped is a plug-and-play heart-rate sensor for Arduino.

It can be used by students, artists, athletes, makers, and game & mobile developers who want to easily incorporate live heart-rate data into their projects.

 

Features :

1. A Color-Coded Cable, with a standard male header connectors. Plug it straight into an Arduino or a Breadboard. No soldering is required.
2. The Pulse Sensor has 3 holes around the outside edge which make it easy to sew it into almost anything.
3. Visualization software (made in Processing) to instantly see the output of the sensor and for troubleshooting.

Product Details:

HMC5883L high integration module, and weak magnetic sensor with a digital interface chips, used in low-cost compass and magnetic field detection area.HMC5883L including the most advanced high resolution HMC118X series of magnetic resistance sensor, the integrated circuit with honeywell patent deviation calibration, including amplifier, automatic degaussing device, can make the compass accuracy control in 1 ° ~ 2 ° 12 AD converter.

Applications

• In Ear Design
• Navigation
• Robot navigation
• Home brew virtual reality systems
• Interactive installations
• Astronomy
• IMU (inertial measurement unit) with an accelerometer for tilt-correction

Product Details:

Introduction The ADXL345 is a small, thin, low power, 3-axis MEMS accelerometer with high resolution (13-bit) measurement at up to +/-16 g. Digital output data is formatted as 16-bit two’s complement and is accessible through either an SPI (3- or 4-wire) or I2C digital interface.
ADXL345 Datasheet Hardware Overview Features
Supply Voltage: 2.0 - 3.6 VDCUltra Low Power: As low as 23 uA in measurement mode, 0.1uA in standby mode at 2.5VSPI or I2C Communication Single Tap / Double Tap Detection Activity / Inactivity Sensing Free-Fall Detection The ADXL345 has special sensing abilities! The single and double tap sensing detects when a single, or two simultaneous, acceleration events occur. Activity and inactivity sensing detect the presence or lack of motion. Free-fall sensing compares the acceleration on all axes with the threshold value to know if the device is falling. All thresholds levels that trigger the activity, free-fall, and single tap/double tap events are user-set levels. These functions can also be mapped to one of two interrupt output pins. An integrated, patent pending 32-level first in, first out (FIFO) buffer can be used to store data to minimize host processor intervention.
The ADXL345 is well suited to measure the static acceleration of gravity in tilt-sensing applications, as well as dynamic acceleration resulting from motion or shock. Its high resolution (4 mg/LSB) enables measurement of inclination changes less than 1.0°. Furthermore, low power modes enable intelligent motion-based power management with threshold sensing and active acceleration measurement at extremely low power dissipation.
Applications Handsets Medical Instrumentation Gaming and Pointing Devices-industrial Instrumentation Personal Navigation DevicesHard Disk Drive (HDD) protection GND This pin must be connected to ground VCC Supply VoltageCS Chip SelectINT1 Interrupt 1 OutputINT2 Interrupt 2 OutputSDO Serial Data Output (SPI 4-Wire) / I2C Address Select SDA / SDI / SDIO Serial Data I2C / Serial Data Input (SPI 4-WIRE) / Serial Data Input and Output (SPI 3-Wire)SCL/SCLK Serial Communications Clock

Additional Information:

• Item Code: ADXL345