Review Velleman ard sens mik s arduino microphone sound sensor

SOLDERED ARD SEN HX711 3 - Arduino - Weight pressure sensor, HX711 16.36 EUR The HX711 is a highly flexible load cell amplifier used in a variety of applications for precise weight measurements. It converts analog signals to digital values and is ideal for integration with microcontrollers, Arduino (or a compatible board such as Dasduino) and other digital systems.

the HX711 uses a 24-bit analog-to-digital converter (ADC) for high-resolution and accurate measurements
supports differential signal inputs and offers two differential signal channels
enables the connection of up to two load cells simultaneously
has an integrated voltage regulator that provides a stable supply voltage for the load cells
operates with a low supply voltage of 2.6V to 5.5V

The HX711 is characterized by its ability to convert analog signals into digital values with a 24-bit ADC, which enables high-resolution and precise weight measurement. The support of differential signal inputs and the provision of two differential signal channels allow the connection of up to two load cells simultaneously. This considerably expands the application possibilities of the HX711, as both single and multiple load cell systems can be measured. The integration of a voltage regulator ensures a stable supply voltage for the load cells, resulting in accurate and reliable measurements. Compatibility with a supply voltage from 2.6V to 5.5V enables the use of a wide range of power sources. In addition, the connectors on the breakout board simplify the connection with other boards and microcontrollers within the easyC system. The switches for selecting the I2C address increase flexibility when integrating into different projects.

Technical data

ADC: HX711
24-bit
Input voltage: 2.6 ... 5,5 V
IC: ATTiny404
Mounting holes: 2
easyC/Qwiic compatibility
Dimensions: 38 x 22 mm

To summarize, the HX711 is an essential tool for projects that require precise weight measurement. Its high resolution, flexibility in load cell connectivity and compatibility with a wide range of microcontrollers and power sources make it an ideal choice for developers and engineers.

easyC
easyC is a robust connection system that optimizes the connection of microcontrollers, sensors and actuators using JST-SH compatible connectors (JST 4-pin). It offers solderless connections, serial connections of multiple devices (daisy-chaining), error-free design, parallel connection, universal compatibility and intermediate compatibility with Qwiic (Sparkfun connection system), simplifying prototype development. Further information on easyC can be found under ''Data sheets''.

External links
https://github.com/SolderedElectronics/Soldered-HX711-ADC-For-Weight-Scales-Arduino-Library
https://github.com/SolderedElectronics...

SEE OFFER SEE OFFER ebay

SOLDERED ARD SEN HX711 2 - Arduino - Weight pressure sensor, HX711 15.43 EUR The HX711 Breakout makes it much easier to read the weight value from a load cell sensor (mass sensor). This small ADC is characterized by its high precision and can measure very small changes in the resistance of the load cell, whose signals are amplified with the integrated amplifier. This information is then transmitted digitally to a microcontroller, such as the Arduino (or a compatible board such as Dasduino), which simply converts the figures obtained into the actual weight. This breakout is therefore particularly useful for projects with scales or presence sensors, both for private individuals and for industry.

high precision and ability to measure slight changes in load cell resistance
integrated amplifier for signal amplification
digital transmission of the measured values to a microcontroller
support for load cells manufactured using Wheatstone bridge technology
easy connection thanks to clearly marked pins on the PCB

The HX711 breakout is an essential component for precision measurement projects. The use of Wheatstone bridge technology makes it possible to connect load cells with four wires, with two wires for the power supply (E+ and E-, usually red and black) and two for the signal (A+ and A-, usually white and green). The clear marking of the pins on the PCB simplifies the connection process considerably. The digital transmission of the signals amplified by the integrated amplifier to a microcontroller such as Arduino (or a compatible board such as Dasduino) enables precise and uncomplicated conversion of the measured values into weight data. These features make the HX711 Breakout an indispensable tool for the development of scales and presence sensors in a wide range of applications.

Technical data

ADC precision: 24-bit
Gain: 128 for A-channel, 64 for B-channel
Voltage: 2.7 ... 5,5 V
Current: < 1.5 mA
Reading speed: 10 SPS or 80 SPS - adjustable
Dimensions: 22 x 22 mm

In summary, the HX711 Breakout's high precision and easy integration with microcontrollers such as Arduino provides an efficient solution for measurement projects requiring precise weight sensing. Its compatibility with Wheatstone bridge technology and user-friendly PCB design make it easy to use in a wide range of applications, both domestic and industrial.

External links
https://github.com/SolderedElectronics/Soldered-HX711-ADC-For-Weight-Scales-Arduino-Library
https://github.com/SolderedElectronics/Load-cell-ampfilier-HX711-board-hardware-design

SEE OFFER SEE OFFER ebay

JOY-IT ARD DUST SENS - Arduino - Fine dust sensor, HM3301 37.13 EUR The HM3301 sensor determines the fine dust particle concentration in the air using the scattered light method from a particle size of 0.3 µm.

With this sensor you are able to provide real-time readings as well as continuous measurements and then send them via the I2C interface to the connected microcontroller.

Specifications

• concentration: 1 µg / m³ (particles / 100 cm³)
• measurable particle size: 3 channels: 2.5 µm, 5 µm, 10 µm
• measuring range (PM2.5 standard value)
• measuring range: 1 - 500 µg/m³ (effective range)
• Measuring range: 1000 µg/m³ (Maximum range)
• Start-up time: 30 seconds after power-on
• Operating temperature: -10 ... +60 °C
• Operating humidity: 10 ... 90% relative humidity (non-condensing)
• Interface: I2C (0x40)
• operating voltage: 3.3 V / 5 V
• dimensions (LxWxH): 41 x 64.5 x 17 mm

SEE OFFER SEE OFFER ebay

SOLDERED ARD SEN HALL4 - Arduino - Hall magnet sensor, analog 14.07 EUR The Hall effect sensor uses the principle of the Hall effect to detect magnetic fields. This enables the measurement of magnetic fields generated by magnets, electric currents or other sources. The intensity of the magnetic field determines the output voltage of the sensor, which has an analog output.

Detects magnetic fields based on the Hall effect
measures magnetic fields generated by different sources
the strength of the magnetic field influences the output voltage
has an analog output for measurement data transmission
compatible with Arduino (or a compatible board such as Dasduino)

The Hall effect sensor makes it possible to detect the presence and strength of magnetic fields. This sensor converts the magnetic field strength directly into an electrical signal. The Hall effect sensor can be used for a wide range of applications, from position determination and speed measurement to current measurement. By using the Hall effect, the sensor can detect magnetic fields generated by permanent magnets or electric currents. As the sensor has an analog output, the measured field strength can be determined precisely. The integration of the sensor into electronic projects, especially those realized with an Arduino (or a compatible board such as Dasduino), is characterized by its ease of use and versatility.

Technical data

Logic voltage level: 0 .. 5 V
Operating voltage: 2.25 ... 5 V
Sensor: SI7211-B-00-IV
Output: analog
Mounting holes: 2
Dimensions: 22 x 22 mm

In summary, the Hall effect sensor enables effective detection and measurement of magnetic fields with high accuracy. Its compatibility with Arduino-based projects makes it a valuable tool for developers and engineers who need precise measurements of magnetic fields in their applications.

External links
https://github.com/SolderedElectronics/Soldered-Hall-Effect-Sensor-Arduino-Library
https://github.com/SolderedElectronics/Hall-effect-sensor-breakout-with-analog-output-hardware-design

SEE OFFER SEE OFFER ebay

JOY-IT ARD SEN WET3 - Arduino - Moisture sensor for soil moisture 14.29 EUR The Soil Moisture Sensor with its two long probes offers an optimal result and is ideal for e.g. an automatic irrigation system. The two large exposed pads act as probes for the sensor and serve as a variable resistor. The more water there is in the soil, the better the conductivity between the pads, this leads to a lower resistance and a higher voltage at the output.

- compatible with Arduino
- compatible with Raspberry Pi only in combination with art. no. RPI ADC (see accessories)
- Analogue sensor
- very long sensors
- based on earth resistance measurement
- 3.3/5 V Power supply
- 0 - 4.2 V Output voltage signal
- 0 - 35 mA Current
- 4 pin JST connector

Connections
- 1st GND: Ground
- 2nd VCC: Voltage
- 3rd NC: (not connected)
- 4th SIG: Signal

Dimensions
L x W x H: 82 x 20 x 10 mm

SEE OFFER SEE OFFER ebay

SEEED GRV UV SENS - Arduino - Grove UV Sensor, GUVA-S12D 20.91 EUR Description
The Grove - UV Sensor is used for detecting the intensity of incident ultraviolet(UV) radiation. This form of electromagnetic radiation has shorter wavelengths than visible radiation. It is based on the sensor GUVA-S12D.It has a wide spectral range of 200nm-400nm. The module will output electrical signal which is varied with the change of the UV intensity. UV sensors are used for determining exposure to ultraviolet radiation in laboratory or environmental settings.

Features
• High stability
• Good Sensitivity
• Low power consumption
• Schottky type photodiode sensor
• Wide response range
• Grove Interface

For all Grove users (especially beginners), we provide you guidance PDF documents. Please download and read through Preface - Getting Started and Introduction to Grove before your using of the product.

SEE OFFER SEE OFFER ebay

ALLNET ARD SENSOR KIT-2 - Arduino 40-in-1 sensor kit, sensors and modules 41.79 EUR This Arduino™ sensor kit contains 40 sensors and modules:

- Joystick
- Relay
- Microphone
- 8 LED PCB
- Voltage regulator linear
- Flame
- Hall TTL
- Touch
- Temp I2C
- Buzzer
- Piezo Speaker 16R
- RGB-LED
- IR-optical detection
- Two color LED 5/3mm ''RED/GREEN
- Gas MQ-2
- Vibration
- Reed contact
- Heartbeat
- Flash LED
- Light barrier
- Button
- Shock
- Rotary encoder
- 5V Step-engine with driver PCB
- Tilt
- Photoresistor
- Temperature and humidity
- Potentiometer / analog hall
- 1W LED module WW
- Temperature 1Wire
- NTC treshold TTL / NTC 10k
- IR receiver 38KHz
- IR LED
- Motion detection PIR

SEE OFFER SEE OFFER ebay

SOLDERED DEBO SENS FIRE - Arduino - Flame sensor, analog / digital 12.64 EUR This module, a phototransistor, effectively detects infrared radiation, which is primarily used to detect fire as it emits a high amount of infrared radiation. However, the application is not limited to fire, but includes all sources of infrared waves, including the sun. The module's integrated comparator outputs digital (HIGH/LOW) or analog (0 V-5 V) signals depending on the intensity of the IR radiation.

the use of Arduino (or a compatible board such as Dasduino) enables easy integration and control of the sensor
the sensor outputs digital and analog signals, which allows flexible adaptation to different technical requirements
high sensitivity to infrared radiation enables the detection of various sources, not just fire
the integrated comparator facilitates signal processing and interpretation
the areas of application are diverse, from fire protection systems to science and research

The phototransistor uses an extended spectral range to detect infrared radiation, making it particularly suitable for applications where precise and reliable detection of infrared sources is required. This includes both natural and artificially generated infrared radiation. The technical design of the sensor allows the signal strength to correlate directly with the intensity of the infrared radiation, which enables precise analysis and reaction in real time. The possible applications are therefore extensive and range from automated security systems to environmental monitoring applications.

Technical data

Voltage: 3 ... 5 V
Output: digital and analog
LM393 comparator on board
Mounting holes: 2
Dimensions: 22 x 22 mm

In summary, this phototransistor enables efficient and accurate detection of infrared radiation, which is of great importance for a wide range of applications. Its ability to provide both digital and analog outputs makes it an indispensable part of modern technological systems.

External links
https://github.com/SolderedElectronics/Soldered-Simple-Sensor-Arduino-Library
https://github.com/SolderedElectronics/Simple-fire-sensor-board-hardware-design

SEE OFFER SEE OFFER ebay

SEEED XIAO ESP32S3 SEN - Xiao ESP32S3 Sense, WiFi / BT, camera OV2640, without header 27.47 EUR Seeed Studio XIAO ESP32S3 Sense integrates a camera sensor, digital microphone and SD card support. Combining embedded ML computing power and photography capabilities, this development board can be your great tool to get started with intelligent voice and image AI.

Powerful MCU board: Integrates the ESP32S3 32-bit dual-core Xtensa processor chip with up to 240 MHz, multiple development ports, supports Arduino/MicroPython
advanced functionality: detachable OV2640 camera sensor for 1600 x 1200 resolution, compatible with OV5640 camera sensor and integrates an additional digital microphone
great memory for more possibilities: Provides 8 MB PSRAM and 8 MB FLASH and supports an SD card slot for external 32 GB FAT memory
excellent RF performance: supports 2.4 GHz Wi-Fi and BLE dual wireless communication, supports long-distance communication over 100 m+ when connected to a U.FL antenna
thumb-sized, compact design: 21 x 17.5 mm, adopts the classic form factor of XIAO, suitable for projects with limited space such as portable devices
Pre-trained Al model from SenseCraft Al for deployment without code

Technical specifications

Processor:ESP32-S3R8 Xtensa LX7 dual-core 32-bit processor operating at up to 240 MHz
WLAN: 2.4 GHz WLAN subsystem
Bluetooth: BLE: Bluetooth 5.0, Bluetooth Mesh
Built-in sensors: oV2640 camera sensor for 1600*1200 / digital microphone
Memory: On-chip 8 MB PSRAM and 8 MB Flash/ Onboard SD card slot, supports 32 GB FAT
Interfaces: 1x UART, 1x lIC, 1x liS, 1x SPI, 11x GPIOs (PWM), 9xADC, 1x user LED, 1x charging LED, 1x B2B connector (with 2 additional GPIOs)
Buttons: 1x reset button, 1x boot button
Input voltage: 5 V @43.2 mA (USB-C)
Power supply: 3 - 341 mA (depending on mode)
Dimensions (LxWxH): 21 x 17.5 x 15 mm

Scope of delivery

XIAO ESP32S3
Plug-in camera sensor board
Antenna

external links
https://wiki.seeedstudio.com/xiao_esp32s3_getting_started/
https://seeed-studio.github.io/SenseCraft-Web-Toolkit/#/setup/process

SEE OFFER SEE OFFER ebay

SEEED GRV LOUDNESS - Arduino - Grove Volume Sensor, LM2904 16.93 EUR Description
The Grove - Loudness Sensor is designed to detect the loudness of environmental sound. Based on amplifier LM2904 and a built-in microphone, it amplifies and filters the high frequency signal that received from the microphone, and outputs a positive envelop. This will make for Arduino's signal acquisition. The output value depends on the level of sound input. In order to avoid unnecessary signal disturbances, input signal will go through two times filtering inside the module. Lastly, there is a screw potentiometer that enables manual adjustments to the output gain.

Features
• Grove compatible interface
• Wide supply voltage range
• Built-in signal filtering
• Gain adjustable via screw potentiometer

Specifications
Voltage: 3.5 ... 10 VDC
Working Frequency: 50 ... 20000 Hz
Sensitivity: -48 ... +66 dB
Signal-to-noise Ratio: >58 dB
Output Signal Range: Digital Signal (0 - 1023)

For all Grove users (especially beginners), we provide you guidance PDF documents. Please download and read through Preface - Getting Started and Introduction to Grove before your using of the product.

SEE OFFER SEE OFFER ebay

SEEED GRV SOUND SENS - Arduino - Grove Sound Sensor, LM386 15.11 EUR Description
The Sound sensor module is a simple microphone. Based on the power amplifier LM386 and the electret microphone, it can be used to detect the sound strength of the environment. The value of output can be adjusted by the potentiometer.

Features
• Grove compatible interface
• Wide supply voltage range: 4V-12V
• Low quiescent current drain: 4mA
• 2.0cm x 2.0cm twig module
• Minimum external parts

Applications Ideas
• Simple microphone
• Sound detection

For all Grove users (especially beginners), we provide you guidance PDF documents. Please download and read through Preface - Getting Started and Introduction to Grove before your using of the product.

SEE OFFER SEE OFFER ebay

ARD NIC SEN ENV - Arduino Pro Nicla Sense Env, Renesas RA2E1 52.95 EUR Start sensing the world around you with the Nicla Sense Env. This board combines three state-of-the-art sensors from Renesas with the easy integration and scalability of the Arduino ecosystem.

Expand your Portenta or MKR projects by adding the Nicla Sense Env. In addition to a particularly low-power temperature and humidity sensor, two intelligent, industrial-grade gas sensors are integrated that can measure air quality in both indoor and outdoor areas.

Thanks to its compact size (22.86 x 22.86 mm) and robust design, the board is ideal for projects that need to combine sensor fusion and the high computing power of the Portenta family.

Application examples

Air quality, humidity and temperature monitoring in air conditioning or ventilation systems
Support for automatic air purification and fume detection systems
Monitoring of toxic substances in industrial processes, including CO2 and VOCs
Easy integration into Arduino development projects to add sensors to monitor environmental data

Technical specifications

Microcontroller:
- Renesas RA2E1 ARM® Cortex® M23 (not user programmable)
- Clock frequency: up to 48 MHz
Memory:
- SRAM: 16 KB
- Flash memory: 128 KB, for internal storage of sensor data and firmware instructions
Dimensions:
- Size: 22.86 x 22.86 mm
- Weight: 2 g, ideal for compact and portable applications
Sensors:
- HS4001: energy-saving sensor for relative humidity and temperature
- ZMOD4410AI1V: Gas sensor for indoor air quality (TVOC detection) with integrated AI
- ZMOD4510AI1V: Gas sensor for NO2 and O3 for monitoring outdoor air quality with AI support
Power supply: Power supply via a connected Arduino Portenta or MKR board
Interfaces:
- I2C bus: via ESLOV connector
- Serial interface: for additional data communication
- SPI: fast and flexible data transfer for peripheral devices
- Analog inputs (ADC): two ADC channels
- Programmable I/O voltage: from 1.8V to 3.3V
Interface options:
- ESLOV interface: for easy Arduino integration
- Header and connection pins (castellated pins): facilitates integration into Arduino projects

Useful external links
• https://docs.arduino.cc/ (documentation)
• https://forum.arduino.cc/ (Forum)

SEE OFFER SEE OFFER ebay

ARD NIC VISION - Arduino Pro Nicla Vision, STM32H747AII6 113.21 EUR Nicla Vision is a ready-to-use, standalone camera for analyzing and processing images on the edge. Thanks to the 2 MP color camera, intelligent 6-axis motion sensor motion detector, integrated microphone and distance sensor, it is suitable for asset tracking, object detection and predictive maintenance.

Quickly deploy sensor nodes to send collected data to the built-in Arduino cloud (or third-party services) using built-in WiFi/Bluetooth Low Energy connectivity.

• powerful microcontroller with 2 MP color camera.
• AI and ML with low power consumption.
• WiFi and Bluetooth Low Energy connectivity.
• with built-in microphone, distance sensor and a 6-axis intelligent motion sensor
• supports MicroPython
• extend your existing project with sensor functions
• standalone on battery power
• compatible with Arduino Nicla, MKR and Portenta products

technical data

• STM32H747AII6 Dual ARM CortexR M7/M4 IC
- 1x ARM CortexR M7 core up to 480 MHz
- 1x ARM CortexR M4 core up to 240 MHz
• Memory: 2 MB Flash, 1 MB RAM, 16 MB QSPI
• Wi-Fi / Bluetooth Low Energy 4.2
• Sensors
- 2 MP color camera
- 6-axis sensor IMU (LSM6DSOX)
- Distance/Flight Time Sensor (VL53L1CBV0FY/1)
- Microphone (MP34DT05)
• ADC, I2C, JTAG, Power / GPIO Pins, Serial Port
• Security: NXP SE050C2 Crypto Chip
• Power supply
- via USB
- via solder contacts
- with 3,7 V Li-Po battery
• dimensions (LxW): 23 x 23 mm

Application examples
• industrial automation by seeing, hearing and feeling
• automated inventory management system through QR codes/barcodes recognition
• automated quality control through machine learning (ML)
• predictive multi-sensor maintenance (noise detection e.g. defective ball bearings in conveyor belt)

SEE OFFER SEE OFFER ebay

VELLEMAN ARD SENS MIK-S - Arduino - microphone sound sensor

Comparison of Similar Products