This is a simple breakout board for the MQ - 3, MQ - 4, MQ - 6, MQ - 7, and MQ - 8 gas sensors. With the Gas Sensor Breakout you will be able to utilize each oversized, oddly spaced pins featured on every MQ gas sensor product. This is an extremely handy and economical board to have around when detecting multiple types of gases.
The SparkFun MAX30105 Particle Sensor is a flexible, powerful sensor enabling sensing of distance, heart rate, particle detection and even the blinking of an eye. The MAX30105 has been equipped with three LEDs as well as a very sensitive photon detector. The idea is to pulse the different LEDs, then detect what shines back. Based on the reflected signature it's possible to detect different types of particles or materials (such as oxygenated blood or smoke from a fire).
The Electrically Isolated USB EZO™ Carrier Board allows you to connect your Atlas Scientific circuit directly to your computer or Raspberry Pi. Built-in isolation ensures that your circuit will be protected from interference, ground loops and harmful voltages. Simply attach an Atlas Scientific EZO-type module to the top of the carrier board, plug in your USB and BNC cables, and you're all set!
The CCS811 Air Quality Breakout is a digital gas sensor solution that senses a wide range of Total Volatile Organic Compounds (TVOCs), including equivalent carbon dioxide (eCO2) and metal oxide (MOX) levels. VOCs are often categorized as pollutants and/or sensory irritants and can come from a variety of sources like construction materials (paint, carpet, etc.), machines (copiers, processors, etc.) and even people (breathing, smoking, etc.). This breakout is intended for indoor air quality monitoring in personal devices such as watches and phones, but we’ve put it on a breakout board so you can use it as a regular I2C device.
The SparkFun Soil Moisture Sensor is a simple breakout for measuring the moisture in soil and similar materials. The soil moisture sensor is pretty straightforward to use. The two large, exposed pads function as probes for the sensor, together acting as a variable resistor. The more water that is in the soil means the better the conductivity between the pads will be, resulting in a lower resistance and a higher SIG out. This version of the Soil Moisture Sensor includes a 3-pin screw pin terminal pre-soldered to the board for easy wiring and setup.
The MyoWare Muscle Sensor is now designed to be wearable, allowing you to attach biomedical sensor pads directly to the board itself. However, there still may be cases where you want to mount the sensor pads away from the other hardware; this is where the MyoWare Cable Shield comes in. This shield provides a 3.5mm jack where you can attach a three-electrode sensor cable, allowing you to test and use the MyoWare Muscle Sensor without actually attaching it to your person.
Using our muscles to control things is the way that most of us are accustomed to doing it. We push buttons, pull levers, move joysticks...but what if we could take the buttons, levers and joysticks out of the equation? This is the MyoWare Muscle Sensor Development Kit, an Arduino-powered, electromyography (EMG) sensor kit that provides you with a MyoWare Muscle Sensor, each MyoWare shield, and everything you need to connect them all together.
Fingerprint scanners are awesome! Why use a key when you have one right at the tip of your finger? Unfortunately, they're often unreliable or difficult to implement. Well not anymore! This great GT-521F32 fingerprint module from ADH-Tech communicates over TTL Serial so you can easily embed it into your next project. The module itself does all of the heavy lifting behind reading and identifying the fingerprints with an onboard optical sensor and 32-bit ARM Cortex M3 processor.
Fingerprint scanners are awesome! Why use a key when you have one right at the tip of your finger? Unfortunately, they're often unreliable or difficult to implement. Well not anymore! This great GT-521F52 fingerprint module from ADH-Tech communicates over TTL Serial so you can easily embed it into your next project. The module itself does all of the heavy lifting behind reading and identifying the fingerprints with an onboard optical sensor and 32-bit ARM Cortex M3 processor.
Does your robot crush objects with its hulkishly strong grip? Give your robotic hand or claw a better sense of touch with the Robotic Finger Sensor. This new version adds pressure sensing so now you can know how hard you're gripping!