Taiwan

本賣場商品一律含稅開發票，需要統編者請下單後備註公司名及統編即可!

本店近新店捷運總站，歡迎大家來店自取，需要自取的可在蝦皮留言通知。

- 特別加贈 qwiic 轉杜邦母頭，以便買家毋需焊接即可接入自備開發平台。

詳盡技術資料請見原廠或供應商  /product/4407 [ https://www.adafruit.com/product/4407 ]  料號：AF-4407

溫馨提示
鏡頭本體的比利時原廠 Melexis 在 Datasheet 第九章針對可能存在 False Pixels 問題特別說明：

NOTE 4: The maximum number of deviating pixels is 4 (please check False pixel correction), none of the deviating pixels are adjacent to each other. Depending on the application one may have to choose to replace the measurement results of such pixel by an average of the temperature indicated by the adjacent pixels.

The imager can have up to 4 defective pixels, with either no output or out of specification temperature reading.
These pixels are identified in the EEPROM table of the sensor and can be read out through the I2C. The defective pixel result can be replaced by an interpolation of its neighboring pixels.

所以 Melexis 在官方函式庫中提供 MLX90640_BadPixelsCorrection 協助標記與處理，請留意四點是官方 QC 出貨時容許的異常點數目，並非產品瑕疵，故不可要求退換，謝謝配合。
 
Description
You can now add affordable heat-vision to your project and with an Adafruit MLX90640 Thermal Camera Breakout. This sensor contains a 24x32 array of IR thermal sensors. When connected to your microcontroller (or Raspberry Pi) it will return an array of 768 individual infrared temperature readings over I2C. It's like those fancy thermal cameras, but compact and simple enough for easy integration.

This version has a narrow 55°x35° field of view we also have a version with a wider 110°x70° field of view [ https://www.adafruit.com/product/4469 ]

This part will measure temperatures ranging from -40°C to 300°C with an accuracy of +- 2°C (in the 0-100°C range). With a maximum frame rate of 16 Hz (the theoretical limit is 32Hz but we were not able to practically achieve it), It's perfect for creating your own human detector or mini thermal camera. We have code for using this sensor on an Arduino or compatible (the sensor communicates over I2C) or on a Raspberry Pi with Python. If using an Arduino-compatible, you'll need a processor with at least 20KB RAM - a SAMD21 (M0) or SAMD51 (M4) chipset will do nicely. On the Pi, you can even perform interpolation processing with help from the SciPy python library and get some pretty nice results!

This sensor reads the data twice per frame, in a checker-board pattern, so it's normal to see a checker-board dither effect when moving the sensor around - the effect isn't noticeable when things move slowly.

To make it easy to use, we hand-soldered 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. We've even included SparkFun qwiic [ https://www.sparkfun.com/qwiic ]  compatible STEMMA QT [ https://learn.adafruit.com/introducing-adafruit-stemma-qt ]  connectors for the I2C bus so you don't even need to solder! Just plug-n-play with any of our STEMMA QT (JST SH) cables. QT Cable is not included, but we have a variety in the shop [ https://www.adafruit.com/?q=st