The Raspberry Pi Camera Module v2 replaced the original Camera Module in April 2016. The v2 Camera Module has a Sony IMX219 8-megapixel sensor (compared to the 5-megapixel OmniVision OV5647 sensor of the original camera).
The Camera Module can be used to take high-definition video, as well as stills photographs. It’s easy to use for beginners, but has plenty to offer advanced users if you’re looking to expand your knowledge. There are lots of examples online of people using it for time-lapse, slow-motion, and other video cleverness. You can also use the libraries we bundle with the camera to create effects.
You can read all the gory details about IMX219 and the Exmor R back-illuminated sensor architecture on Sony’s website, but suffice to say this is more than just a resolution upgrade: it’s a leap forward in image quality, colour fidelity, and low-light performance. It supports 1080p30, 720p60 and VGA90 video modes, as well as still capture. It attaches via a 15cm ribbon cable to the CSI port on the Raspberry Pi.
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 Picamera resource to learn how to use it.
The camera module is very popular in home security applications, and in wildlife camera traps.
I had used a lots of LoRa module till now, but it's really the best among all of them! the 1262 is a great upgrade in terms of output power and configuration. we can configure the output power, bandwidth, spreading factor and a tons of other things, which are not possible to configure on previous modules. the radiolib library works preety good with it and it also supports rssi and snr like features, which are very crucial when you are seriously researching on antenna or range related works! that's why I eventually like this module more then ebyte LoRas. To me this is the best module in IN8 68MHz, which is completly legal and free to use in India upto 1W! And also thanks to thinkrobotics, I got it in just 1 working day, and your packaging was also too good! Love your service, and keep this modules available on your websight. Your pricing of this module is too good, and I'll buy many of these modules. Thank you!
I had used a lots of LoRa module till now, but it's really the best among all of them! the 1262 is a great upgrade in terms of output power and configuration. we can configure the output power, bandwidth, spreading factor and a tons of other things, which are not possible to configure on previous modules. the radiolib library works preety good with it and it also supports rssi and snr like features, which are very crucial when you are seriously researching on antenna or range related works! that's why I eventually like this module more then ebyte LoRas. To me this is the best module in IN8 68MHz, which is completly legal and free to use in India upto 1W! And also thanks to thinkrobotics, I got it in just 1 working day, and your packaging was also too good! Love your service, and keep this modules available on your websight. Your pricing of this module is too good, and I'll buy many of these modules. Thank you!
Team is suppotive and solves all the queries .
The product is good and will surely help me in my project...looking forward for more trades with think robotics.
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You can also use the libraries we bundle with the camera to create effects.\u003c\/p\u003e\n\u003cp\u003eYou can read all the gory details about IMX219 and the Exmor R back-illuminated sensor architecture on Sony’s website, but suffice to say this is more than just a resolution upgrade: it’s a leap forward in image quality, colour fidelity, and low-light performance. It supports 1080p30, 720p60 and VGA90 video modes, as well as still capture. It attaches via a 15cm ribbon cable to the CSI port on the Raspberry Pi.\u003c\/p\u003e\n\u003cp\u003eThe 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 Picamera resource to learn how to use it.\u003c\/p\u003e\n\u003cp\u003eThe camera module is very popular in home security applications, and in wildlife camera traps.\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/PiCamera-Pinout_480x480.png?v=1593892394\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/download_7_480x480.png?v=1593892398\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch5\u003eResources\u003c\/h5\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/thinkrobotics\/DATASHEET\/tree\/master\/SINGLE_BOARD_COMPUTERS\/SBC2002\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eDatasheet\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/thinkrobotics\/LIBRARIES\/tree\/master\/SINGLE_BOARD_COMPUTERS\/SBC2002\"\u003eLibrary\u003c\/a\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/thinkrobotics\/LIBRARIES\/tree\/master\/SINGLE_BOARD_COMPUTERS\/SBC2002\"\u003eSample Code\u003c\/a\u003e\u003c\/p\u003e\n\u003ch5\u003eTutorial\u003c\/h5\u003e\n\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/VzYGDq0D1mw\" frameborder=\"0\" allow=\"accelerometer; 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It attaches via a 15cm ribbon cable to the CSI port on the Raspberry Pi.\u003c\/p\u003e\n\u003cp\u003eThe 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 Picamera resource to learn how to use it.\u003c\/p\u003e\n\u003cp\u003eThe camera module is very popular in home security applications, and in wildlife camera traps.\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/PiCamera-Pinout_480x480.png?v=1593892394\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/download_7_480x480.png?v=1593892398\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch5\u003eResources\u003c\/h5\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/thinkrobotics\/DATASHEET\/tree\/master\/SINGLE_BOARD_COMPUTERS\/SBC2002\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eDatasheet\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/thinkrobotics\/LIBRARIES\/tree\/master\/SINGLE_BOARD_COMPUTERS\/SBC2002\"\u003eLibrary\u003c\/a\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/github.com\/thinkrobotics\/LIBRARIES\/tree\/master\/SINGLE_BOARD_COMPUTERS\/SBC2002\"\u003eSample Code\u003c\/a\u003e\u003c\/p\u003e\n\u003ch5\u003eTutorial\u003c\/h5\u003e\n\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/VzYGDq0D1mw\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen\u003e\u003c\/iframe\u003e\n\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/DRIeM5uMy0I\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen\u003e\u003c\/iframe\u003e\n\u003cp\u003e \u003c\/p\u003e"}
