Detect fourteen distinct channels of light (from 380 nm to 1000 nm) with this versatile spectral sensor. The AS7343 is a 14-channel multi-purpose spectral sensor. It is optimized for reflective, transmissive and emissive measurements including color matching, fluid or reagent analysis or general spectral reconstruction. It can detect 14 spectral channels - 12 in the visible spectrum (VIS) to near-infrared (NIR) range, a clear channel and flicker channel. This I2C breakout is compatible with our modular Breakout Garden system, which is designed to make working with breakouts straightforward - just pop it into a Breakout Garden slot and start to grow your project, create, and code. It's also Qw/ST compatible, which means it can be connected up to any microcontroller or add-on with a Qwiic or STEMMA QT connector using a Qw/ST cable - no soldering required! ⚠ Note: this sensor is complex and you will likely need to study the datasheet and the documentation for an understanding of how it works. We've spun up some basic examples to show you how you can get raw numbers from the sensor, but additional work will be required to convert this into useful data like RGB values. Some uses may require calibration of the sensor and the addition of a diffuser layer, which is not included with our breakout. Features AMS AS7343 14-channel multi-spectral sensor (datasheet) 14 optical channels distributed over VIS, including XYZ and one in NIR Includes 2 extra channels: Clear and Flicker Detection 2 on-board illumination LEDs I2C interface (address: 0x39) 3.3V or 5V compatible Raspberry Pi-compatible pinout (pins 1, 3, 5, 7, 9) Breakout Garden connector (with reverse polarity protection) Qwiic/STEMMA QT connector Compatible with Raspberry Pi computers (Python library) Compatible with Raspberry Pi Pico (C++/MicroPython libraries) Kit includes AS7343 14-Channel Multi-Spectral Sensor Breakout 1x5 pin header 1x5 right angle socket header Software We've put together a Python library that you can use if you want to connect up your AS7343 14-Channel Multi-Spectral Sensor Breakout to a Raspberry Pi computer. You can also use this breakout with Raspberry Pi Pico and other RP2040/RP2350 based microcontrollers, using C++ or MicroPython. Install the standalone MicroPython library by searching for as7343-micropython in Thonny's 'Manage Packages' .