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Hurry and get discounts on all Raspberry Products up to 20%
IBOTS1000
₹2,400.00 ₹1,999.00
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Out of stock
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₹75 for parcels below 1 Kg and ₹100 for parcels weighing between 1 Kg to 2 Kg.
2-3 Days
₹75
₹125 for parcels below 1 Kg and ₹175 for parcels weighing between 1 Kg to 2 Kg.
2-3 Days
₹125
₹250 for parcels below 1 Kg and ₹325 for parcels weighing between 1 Kg to 2 Kg.
2-3 Days
₹250
Our courier will deliver to the specified address
2-3 Days
Rs. 99
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Featuring the same 8-megapixel image sensor as the standard Raspberry Pi camera with the infrared cut-off filter removed to increase IR light sensitivity. The Pi NoIR is compatible with all Raspberry Pi models and provides high
definition, high sensitivity, low crosstalk, and low noise image capture in an ultra small and lightweight design. The camera module connects to the Raspberry Pi board via the CSI connector which is capable of extremely high data rates and it exclusively carries pixel data to the processor.
The infrared Camera Module v2 (Pi NoIR) replaced the original PiNoIR Camera Module in April 2016. The v2 Pi NoIR has a Sony IMX219 8-megapixel sensor (compared to the 5-megapixel OmniVision OV5647 sensor of the original camera).
The Pi NoIR gives you everything the regular Camera Module offers, with one difference: it does not employ an infrared filter. (NoIR = No Infrared.) This means that pictures you take by daylight will look decidedly curious, but it gives you the ability to see in the dark with infrared lighting.
We bundle a little square of blue gel with the Pi NoIR, which you can use with the camera to monitor the health of green plants. The Pi NoIR is very popular among wildlife hobbyists: with a few infrared LEDs, you can monitor what nocturnal animals are doing in your garden without disturbing them.
The camera works with all models of Raspberry Pi 1, 2, and 3. It can be accessed through the MMAL and V4L APIs, and there are numerous third-party libraries built for it, including the Picamera Python library. See the Getting Started with Picameraresource to learn how to use it. After following the first link, please try the libcamera command which is given following : libcamera-still -o test.jpg.
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