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Adafruit AMG8833 IR Thermal Camera Breakout STEMMA QT

Prezzo originale €65,81 - Prezzo originale €65,81
Prezzo originale
€65,81
€65,81 - €65,81
Prezzo attuale €65,81

Tutti i prezzi sono IVA inclusa

Disponibilità:
in magazzino
Disponibilità:
Esaurito
Disponibilità:
Da Ordinare
Spedizione : 4-6 Giorni
Richiesta Sconto per Quantita' e Informazioni

Add heat-vision to your project with an Adafruit AMG8833 Grid-EYE Breakout! This sensor from Panasonic is an 8x8 array of IR thermal sensors. When connected to your microcontroller (or raspberry Pi) it will return an array of 64 individual infrared temperature readings over I2C. It's like those fancy thermal cameras, but compact and simple enough for easy integration.

This part will measure temperatures ranging from 0°C to 80°C (32°F to 176°F) with an accuracy of +- 2.5°C (4.5°F). It can detect a human from a distance of up to 7 meters (23) feet. With a maximum frame rate of 10Hz, It's perfect for creating your own human detector or mini thermal camera. We have code for using this breakout on an Arduino or compatible (the sensor communicates over I2C) or on a Raspberry Pi with Python. On the Pi, with a bit of image processing help from the SciPy python library we were able to interpolate the 8x8 grid and get some pretty nice results!

The AMG8833 is the next generation of 8x8 thermal IR sensors from Panasonic, and offers higher performance than it's predecessor the AMG8831. The sensor only supports I2C, and has a configurable interrupt pin that can fire when any individual pixel goes above or below a threshold that you set.

To make it easy to use, we pick & placed it on a breakout board with a 3.3V regulator and level shifting. So you can use it with any 3V or 5V microcontroller or computer.

Should you wish to avoid soldering, we now also include our Stemma QT connectors (SparkFun Qwiic compatible). Using these handy connectors you can simply plug in the sensor, no soldering required! QT Cable is not included, but we have a variety in the shop.

Even better - We've done all the hard work here, with example code and supporting software libraries to get you up in running in just a few lines of Arduino, Python or CircuitPython code! Check out our guide for how to get started.

https://www.youtube.com/embed/jzE6gSWDL_o

https://www.youtube.com/embed/heobl74rN88?start=710

https://www.youtube.com/embed/6GXRRuFuFy0