CJMCU-6701 GSR Skin Sensor Module Analog SPI 3.3V/5V The CJMCU-6701 GSR Skin Sensor Module is a biosensor module that measures the electrical conductance of the skin, also known as the Galvanic Skin Response (GSR). The module can be used to monitor changes in skin electrical conductance as a result of stress, emotions, or other physiological circumstances. This has a wide range of applications, including deception detection, human-computer interaction, and stress monitoring.The module is available in Analog, SPI, and 3.3V/5V versions, allowing it to be integrated into systems using 3.3V or 5V voltage and communicating with the microcontroller via the SPI protocol. The module is small in size and can be used in various other of applications.The working principle of the GSR sensor is based on the fact that the electrical conductance of the skin changes based on the level of sweat production. Sweat production is influenced by the level of emotional or physical arousal, thus changes in conductance can be used to infer changes in emotional or physiological states. GSR sensor clicks are ideally suited as an experimental tool for research, as well as for establishing effective test applications based on EDA reactions - such as polygraphs. Package Includes: 1 x CJMCU-6701 GSR Skin Sensor Module Analog SPI 3.3V/5V Specifications: ADC Accuracy 12 bits ADC Sampling Rate 100ksps Interface Type SPI Operating Voltage 5V DC Length 33 mm Height 7 mm Width 18 mm

R307 Optical Fingerprint Sensor Module The R307 Optical Fingerprint Reader makes fingerprint scanning straightforward. It connects easily to microcontrollers or PCs using a TTL UART interface or through a MAX232/USB-Serial adapter. You can store fingerprints on the device and set it to recognize individuals in different ways. This fingerprint sensor module includes an optical sensor, a fast processor, and smart algorithms for capturing and matching fingerprints. It works with 3.3V or 5V microcontrollers and is great for projects like access control systems, attendance tracking, or secure locks. It’s small, uses little power, and captures clear fingerprint images with a resolution of up to 500 dpi. check out: FM220U Finger Print Scanner R307 Optical Fingerprint Sensor Module Pinout: Also, check out: Mantra MFS-100 Biometric Finger Print C-Type Scanner Package Includes: 1 x R307 Optical Fingerprint Sensor Module Specifications Operating voltage 4.2 ~ 6 VDC Current consumption ≤75mA Verification Speed 0.2 sec Scanning Speed 0.3 sec Character file size 256 bytes Template size 512 bytes Dimensions  3 x 2 x 1cms  Weight  25 grams

Gravity: Offline Voice Recognition Sensor for micro:bit, Arduino, ESP32 - I2C & UART  Get ready to be amazed by the Gravity Offline Language Learning Voice Recognition Sensor's ability. It's a fantastic tool for improving your technology. Imagine interacting with your ESP32, Arduino, or Micro projects and having them react right away without requiring an internet connection! Whether you're into cool home gadgets or tinkering with school projects, this sensor makes it super easy. You get over 121 commands right out of the box, like saying "Play music" or "Turn on the lights." And if that's not enough, you can teach it up to 17 new tricks, like making it respond to your pet's sounds! Best part? It keeps your data secret since it operates without the internet. There is no need to worry about data leaks. Also, it comes pre-installed with speakers and a microphone, so now get rid of the need for additional equipment in your projects. So the Gravity Voice Recognition Sensor is the perfect tool whether you're creating a smart assistant, setting up interesting projects at home, or adding more interactivity to learning. It is clear-cut, simple to use, and prepared to elevate your thoughts!

R300 Uart Interface Capacitive Fingerprint Module The R300 UART Interface Capacitive Fingerprint Module is a type of fingerprint sensor module that uses capacitive technology to scan and recognize fingerprints. The module is designed to be connected to a microcontroller or other host device through a UART (universal asynchronous receiver-transmitter) interface, which allows for communication between the module and the host device using serial communication protocols. The module can be used as a stand-alone fingerprint identification system thanks to a fingerprint sensor, a microcontroller, and a collection of communication and control circuits. The module has the ability to take and store fingerprints, compare them to a pre-registered database, and perform other fingerprint-related tasks. Security systems, access control systems, time and attendance monitoring systems, and other devices that demand fingerprint authentication frequently employ the R300 UART Interface Capacitive Fingerprint Module. Communication interface : UART. 1:N Identification (One-to-Many). 1:1 Verification (One-to-One). High speed fingerprint identification algorithm engine. Package Includes: 1 x R300 Uart Interface Capacitive Fingerprint Module Specifications: Dimensions  3 x 2 x 1cms  Weight  5 grams

Muscle Sensor Kit This EMG Sensor or Muscle sensor V3.0 With Cable And Electrodes will measure the filtered and rectified electrical activity of a muscle; outputting 0-Vs Volts depending on the amount of activity in the selected muscle, where Vs signifies the voltage of the power source. Required  Power supply voltage: min. +-3.5V. By detecting the electromyogram (EMG), measuring muscle activity has traditionally been used in medical research, however with shrinking but more powerful microcontrollers and integrated circuits the advent of EMG power Road and sensors can be used for various control systems. This EMG Muscle Sensor measures, filters, rectifies, and amplifies the electrical activity of a muscle and produces an analog output signal that can easily be read by a microcontroller, enabling novel, muscle-controlled interfaces for your projects. To use this Muscle sensor you will need few components like batteries , jumper wires , breadboard and arduino Wiring Instructions: To use this sensor, the user must have three electrodes connected to the subject’s body. The reference electrode should be placed on an inactive section of the body, such as the bony portion of the elbow, shin or forearm. This electrode should be connected to the black or brown cable. The two other electrodes should be placed along the muscle selected to be measured. The second electrode should be placed along the mid-length of the muscle; this electrode should be connected to the red cable. The last electrode should be placed at the end of the muscle and connected to the blue cable. Finally, connect pin SIG to an analog input pin of your microcontroller and the GND pin to the ground pin on your microcontroller. Package Includes: 1 x EMG Muscle Sensor V3.0 Module. 3 x Electrode Pad. 1 x Connecting Cable. Specifications Operating voltage  5V Audio-style plug 3.5 mm jack Length of connecting cable 1 m Dimensions  3.3 x 2.6 x 1.5cms Weight  100 grams

AD8232 ECG Module Heart Rate Monitor Kit AD8232 Single Lead Heart Rate Monitor is a cost-effective board used to measure the electrical activity of the heart. This electrical activity can be charted 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. It is an integrated signal conditioning block for ECG and other biopotential measurement applications. It is 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. The AD8232 sensor module to monitor Heart Rate breaks out nine connections from the IC that you can solder pins, wires, or other connectors to. SDN, LO+, LO-, OUTPUT, 3.3V, and GND provide essential pins for operating this monitor with an Arduino or other development board. Also provided on this board are RA (Right Arm), LA (Left Arm), and RL (Right Leg) pins to attach and use your own custom sensors. Additionally, there is an LED indicator light that will pulsate to the rhythm of a heartbeat.  Biomedical Sensor Pads and Sensor Cables are required to use the heart monitor.

Voice Recognition Module Voice recognition is a technique that facilitates a natural and convenient human-machine interface using the voice recognition module. It extracts and analyses voice features of humans delivered to a machine or computer through the mic. The Voice recognition technique is classified into many types based on different criteria such as the scope of the users, the number of words used for recognition, and the naturalness of speaking. If the voice recognition level is more than 95%, then only voice recognition is practically used.  Speak (Voice) Recognition Sensor Module V3.1 compatible with Arduino is a compact and easy-control speaking recognition board. Speak (Voice) Recognition Module V3.1 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 the command. Users need to train the module first before letting it recognize any voice command. This board has 2 controlling ways: Serial Port (full function), General Input Pins (part of a function). General Output Pins on the board could generate several kinds of waves while the corresponding voice command was recognized. Applications:  Long-distance-speech-recognition system A robotic vehicle using a cell phone Package Includes: 1 x Voice Recognition Module V3.1 1 x Microphone. Specifications Supply Voltage 4.5 – 5.5 V Current <40 mA Digital Interface 5V TTL level for UART interface and GPIO Current <40 mA  Package Dimensions  6 × 8 × 2 cm Weight  100 grams

Speech Recognition Module The Voice Recognition Module can recognize as many as 15 voice instructions and be suitable for most cases involving voice control. It receives configuration commands or responds through a serial port interface. The Speech Recognition Sensor Module can control cars or other electrical devices by voice. It can store 15 pieces of voice instruction. Those 15 pieces are divided into 3 groups, with 5 in one group. First, we should record the voice instructions group by group. After that, we should import one group by serial command before it can recognize the 5 voice instructions within that group. If we need to implement instructions in other groups, we should import the group first. This module is speaker-independent. If your friend speaks the voice instruction instead of you, it may not identify the instruction. Package Includes: 1 X Speech Recognition Module Specifications:  Voltage 4.5-5.5V Current Less than 40mA Digital Interface 5V TTL level UART interface Analog Interface 3.5mm mono-channel microphone connector + microphone pin interface Recognition accuracy 99% (under ideal environment)

Eye Blink Sensor An eye blink sensor relies on infrared technology to detect if a person's eye is closed. The sensor is made up of two components: an infrared transmitter and an infrared receiver. The transmitter emits infrared waves onto the eye, while the receiver searches for changes in the reflected waves, indicating that the eye has blinked. The sensor's output is sent to a microcontroller board, such as Arduino, Raspberry Pi, AVR, PIC, or other microcontrollers. To create an eye blink sensor with an Arduino, one requires an eye blink sensor, an Arduino board, and a switch between the power supply and the Arduino. The sensor has three pins: GND (ground), 5V, and OP (output). The sensor's output is transmitted to the Arduino board, which can be programmed to execute various tasks based on the output.   Note: This eye blink sensor is strictly restricted for hobby projects and not recommended for real-time use.  Pinouts: VCC(Power) GND(Ground) DO(Digital Output) Applications: Digital Eye Blink Monitor Vehicle Accident Prevention using eye blink sensor Suite for real-time driving applications Facility to interface microcontroller devices Package Includes: 1 x Eye Blink Sensor Specifications TTL output 5V or 0V Sensor Type  IR Sensor Dimensions  11 x 9 x 3cms  Weight  50 grams

Heart Rate Pulse Sensor Module Pulse Sensor is a low-cost, very small-size plug-and-play heart rate sensor for Arduino and Arduino compatible boards. It can be used by students, artists, athletes, makers, and game & mobile developers who want to incorporate live heart-rate data into their projects easily. Pulse Sensor Amped adds amplification and noise cancellation circuitry to the hardware. It's noticeably faster and easier to get reliable pulse readings. Pulse Sensor works with either a 3V or 5V Arduino.  A Color-Coded Cable, with standard male header connectors. Plug it straight into an Arduino or a Breadboard. No soldering is required. An Ear Clip perfectly sized to the sensor. It can be hot-glued or epoxied to the back of the sensor to get a reading from an ear lobe. Parts to make a handy Velcro finger strap. This is another excellent way to get heart-rate data. read more : Beginner Guide to Biomedical Sensors Heart Rate Pulse Sensor Module Video Tutorial: Video Tutorial on Heart Rate Monitoring with Arduino Pinouts: Pinout of Heart Rate Pulse Sensor Module Ao -  Analog value output connector VDC - Connect to 3.3V-5V GND - Connect to GND Applications: Sleep Tracking Anxiety monitoring Remote patient monitoring or alarm system Health bands Complex gaming consoles Package Includes: 1 x Pulse Sensor Module Specifications: Power supply voltage 3.3V ~ 5V PCB Diameter (mm) 15 Package Dimensions  8 × 6 × 2 cm Weight  50 grams

KY-039 Finger Heartbeat Detection Sensor The KY-039 Finger Heartbeat Detection Sensor is a sensor that can detect a person's pulse or heartbeat. It is a small, portable sensor that easily connects to an Arduino or other microcontroller to read and analyse heart rate. The sensor is made up of a finger clip that attaches to the finger and an infrared sensor that detects blood flow through the finger. The sensor sends information to the microcontroller, which computes the heart rate. The sensor generates an analogue output signal that the microcontroller can read. The LED is on the light side of the finger, and the phototransistor is on the other side of the finger, the phototransistor is used to obtain the flux emitted when the blood pressure pulse by the finger when the resistance of the phototransistor will be slightly changed. We chose a very high resistance resistor R1 because most of the light through the finger is absorbed, it is a desirable phototransistor sensitive enough.  The most important is to keep the shield stray light into the phototransistor. For home lighting that is particularly important because the lights at home are mostly based on 50HZ or 60HZ fluctuating, so a faint heartbeat will add considerable noise. Applications: DIY Heart Rate Sensor Heart Rate Monitor Using IoT MAX 30102 Heart Rate Monitor on 16x2 LCD Package Includes: 1 x KY-03T Finger Detection Heartbeat Measuring Sensor Module Specifications Model  KY-039 Sensor Type  Finger Detection Heartbeat Measuring Sensor Dimensions  2  x 1.4cms  Weight  5 grams

MAX30102 Pulse Oximeter Heart Rate Sensor Module The MAX30102 Pulse Oximeter Heart-Rate Sensor Module I2C Interface provides a complete system solution to ease the design-in process for mobile and wearable devices. The MAX30102 operates on a single 1.8V power supply and a separate 5.0V power supply for the internal LEDs. Communication is through a standard I2C-compatible interface. The module can be shut down through software with zero standby current, allowing the power rails to remain powered at all times. The heart rate oximetry module made with the MAX30102 is an upgraded version of the MAX30100 that can be used to measure heart rate oximetry on the wrist. It can be applied to smart wear fields such as sports watches. MAX30102 is an integrated pulse oximeter and heart-rate monitor sensor solution. It’s an optical sensor that derives its readings from emitting two wavelengths of light from two LEDs – a red and an infrared one – then measuring the absorbance of pulsing blood through a photodetector. This particular LED colour combination is optimized for reading the data through the tip of one’s finger. It is fully configurable through software registers and the digital output data is stored in a 16-deep FIFO within the device. It has an I2C digital interface to communicate with a host microcontroller. The pulse oximetry subsystem in MAX30102 consists of ambient light cancellation (ALC), 16-bit sigma delta ADC, and a proprietary discrete-time filter. It has an ultra-low-power operation which makes it ideal for battery-operated systems. MAX30100 operates on a supply in the range of 1.8 to 3.3V. It can be used in wearable devices, fitness assistant devices, medical monitoring devices, etc. The MAX30102 operates from 1.8V and 3.3V power supplies and can be powered down through software with negligible standby current, permitting the power supply to remain connected at all times. read our blog on eye blinking sensor, which provides information about the working principle of an eye blink sensing system. Note: For this sensor, you have to pull up SCL & SDA Pin( You have to connect a 10Kohm resistor between SCL & 5V And Same as SDA to 5V) Applications: Fitness Assistant Devices Medical Monitoring Devices Wearable Devices Package Includes: 1 x MAX30102 Pulse Oximeter Heart Rate Sensor Module Specifications: Voltage    1.8 - 3.3v Current 0.7 µA Length 5.6m Width 2.8mm Height 1.2mm Weight 2gm

MAX30100 Pulse Oximeter Heart Rate Sensor Module MAX30100 Pulse Oximeter Heart Rate Sensor Module is an integrated pulse oximeter and heart-rate monitor sensor solution. It’s an optical sensor that derives its readings from emitting two wavelengths of light from two LEDs – a red and an infrared one – then measuring the absorbance of pulsing blood through a photodetector. This particular LED colour combination is optimized for reading the data through the tip of one’s finger. It is fully configurable through software registers and the digital output data is stored in a 16-deep FIFO within the device. It has an I2C digital interface to communicate with a host microcontroller. The pulse oximetry subsystem in MAX30100 sensor consists of ambient light cancellation (ALC), 16-bit sigma delta ADC, and proprietary discrete time filter. It has an ultra-low-power operation which makes it ideal for battery operated systems. MAX30100 operates on a supply in the range of 1.8 to 3.3V.It can be used in wearable devices, fitness assistant devices, medical monitoring devices, etc. The MAX30100 operates from 1.8V and 3.3V power supplies and can be powered down through software with negligible standby current, permitting the power supply to remain connected at all times. Package Includes: 1 x MAX30100 Pulse Oximeter Heart Rate Sensor Module Specifications: Working voltage 1.8 ~ 5.5V Shutdown Current 0.7µA Color Green Dimensions(mm) 19 x 14.5 x 3 Weight (gm) 2

Mantra MFS-100 Biometric Finger Print C-Type Scanner The Mantra MFS100 Finger Print sensor can be used for authentication, identification, and verification functions that let your fingerprint act like digital passwords that cannot be lost, forgotten, or stolen. The hard optical sensor is resistant to scratches, impact, vibration, and electrostatic shock. The Mantra MFS100 Finger Print Sensor is a biometric device for authentication and identification through a fingerprint recognition module that has superior execution, precision, and toughness based on the fingerprint reader. It is safe and easy to use the device for security compared to remembering the password which is vulnerable to fraud and difficult to keep in mind. Utilize Mantra MFS100 Finger Print sensor with our biometric software for verification, identification, and authentication functions through fingerprints can act like computerized passwords that cannot be misplaced, overlooked, or stolen. The STQC-certified Mantra MFS100 Finger Print Scanner is made of hard optical sensor which is resistant to scratches, impact, vibration, and electrostatic shock. Plug and play USB 2.0 high-speed interface supports multiple device handling. 500 dpi optical fingerprint sensor scratch-free sensor surface Supports Windows 7,8,10, Windows Vista, Windows 2000, Windows Server 2003/2007/2008, Linux, Windows ME, Windows 98 SE SDK, Libraries, and Drivers support across all the above Platforms. (32 Bit and 64Bit) Easy Integration to production servers and application support. It works in Sim activation, PayTM KYC, Jeevan Pramaan, CSC, Digital Signatures, Mutual Fund KYC, Digital Locker, and other supported sites only. Note:  Drivers to be installed from the link provided in the product manual. It does not work on rooted mobiles.  Applications: PC/network security  Time and attendance system Smart card application Health and medical KYC Package Includes: Mantra MFS100 Scanner OTG Cable Cleaning Cloth Product Manual Specifications: Brand Mantra Model Name Mantra MFS100 C-Type Scanner Scanner Type C-Type Fingerprint Scanner Interfaces USB, Mini USB Item Dimensions LxWxH 13 x 9 x 6 Centimeters Item Weight  150 g

Heart Rate Pulse Sensor Module Pulse Sensor is a low-cost, very small-size plug-and-play heart rate sensor for Arduino and Arduino compatible boards. It can be used by students, artists, athletes, makers, and game & mobile developers who want to incorporate live heart-rate data into their projects easily. Pulse Sensor Amped adds amplification and noise cancellation circuitry to the hardware. It's noticeably faster and easier to get reliable pulse readings. Pulse Sensor works with either a 3V or 5V Arduino.  A Color-Coded Cable, with standard male header connectors. Plug it straight into an Arduino or a Breadboard. No soldering is required. An Ear Clip perfectly sized to the sensor. It can be hot-glued or epoxied to the back of the sensor to get a reading from an ear lobe. Parts to make a handy Velcro finger strap. This is another excellent way to get heart-rate data. Heart Rate Pulse Sensor Module Video Tutorial: Video Tutorial on Heart Rate Monitoring with Arduino Pinouts: Pinout of Heart Rate Pulse Sensor Module Ao -  Analog value output connector VDC - Connect to 3.3V-5V GND - Connect to GND Applications: Sleep Tracking Anxiety monitoring Remote patient monitoring or alarm system Health bands Complex gaming consoles Package Includes: 25 x Pulse Sensor Module Specifications: Power supply voltage 3.3V ~ 5V PCB Diameter (mm) 15 Package Dimensions  8 × 6 × 2 cm Weight  50 grams