Raspberry Pi Noir Camera V2 紅外線夜視攝影機模組 原廠公司貨 英國製 八百萬像素

商品說明 Pi Noir 本模組非中國地區 element14 版本也不是中國淘寶上面賣的那些山寨高仿版本. 台灣物聯科技銷售的樹莓派與模組皆是英國原裝進口商品。 Raspberry Pi Model A/B/B+/Pi2/Pi3 皆可適用. Raspberry Pi基金會發表的Pi NoIR。儘管相機板和以前一樣，卻拿掉了紅外線濾鏡，能夠捕捉紅外線，最適合會用到夜視的專題上。無論是應用到Pi的安全系統，或是在夜間觀察野生動物的系統，Pi NoIR相機都是好用的零件。購買之後只要用序列介面連接到Raspberry Pi上，就能立刻使用。 Pi NoIR相機板還附有藍色濾鏡，也能用在近紅外線攝影，或是在實驗中檢測植物光合作用的情況。只要利用這個，Pi NoIR相機板和Raspberry Pi套組即可成為便宜的科學專題用裝置，充分活用於觀察庭院植物的健康狀態。 八百萬像素固定焦點 支持1080p、720p60和VGA90 Sony IMX219PQ CMOS image sensor 減少圖像雜訊，如固定模式噪點和拖尾效應 自動控制功能，如曝光控制、白平衡和亮度檢測 Raspberry Pi Noir Camera V2 技術補充（英文原文對照） 以下為原廠英文技術說明，提供使用者參考。 The Raspberry Pi HD Pi NoIR Camera Board connects to any Raspberry Pi or Compute Module, allowing you to create HD video and still photographs. The Pi NoIR (No Infrared) is the same as the standard camera module but without an IR filter. Therefore it is great for photography and video in the dark. The module utilises the IMX219PQ image sensor from Sony which offers high-speed video imaging and high sensitivity. The Pi NoIR module offers reduced image contamination such as fixed pattern noise & smearing. It also features automatic control functions such as exposure control, white balance & luminance detection. Features and benefits: No IR filter High-quality imagery High data capability 8 megapixels fixed focus (includes small focus adjustment tool) Supports 1080p, 720p60 & VGA90 Sony IMX219PQ CMOS image sensor 15-pin ribbon cable Connecting the Pi NoIR to Pi: A 15 cm ribbon cable attached to the module slots straight into your Pi Camera Serial Interface port (CSI). Once connected, you can access the camera board via the Multi-Media Abstraction Layer (MMAL) or the Video for Linux (V4L) APIs. Alternatively there are libraries such as Picamera Python, and many others that you can find online. Product Applications: The Pi NoIR Camera Module from Raspberry Pi is ideal for HD videos and still photography at night. When used with IR LEDs you are able to see in the dark, so you can monitor plant health or even nocturnal animals.