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An 8MP camera designed to work with NVIDIA Jetson boards, as well as other systems such as ARM, DSP, and FPGA, offering a wide field of view and high image quality. The camera is very sensitive to infrared light due to the lack of an IR filter, which allows it to be used in applications such as night vision systems, heat detection, and robotic vision systems. ArduCAM B0193
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The Arducam IMX219 NoIR camera module is an advanced solution primarily designed for NVIDIA Jetson boards, but its versatility allows it to be widely used in other systems such as ARM, DSP, or FPGA. With its wide field of view and high-quality sensor, it is an ideal choice for projects requiring precise image analysis, monitoring, as well as applications utilizing computer vision technology, robotics, or autonomous vehicles.
The IMX219 sensor boasts a high 8-megapixel resolution, allowing for clear and detailed images. This makes it perfect for applications requiring high-quality images for analysis, detection, or object recognition. Thanks to its high resolution, the module can be used in fields like facial recognition, security monitoring, visual inspections, and anomaly detection. The built-in 1.3 mm focal length lens offers an extremely wide field of view of 155° horizontally, 115° vertically, and 175° diagonally. This allows for wide-area image capture, making it a great choice for applications such as space monitoring, obstacle detection in robotics, or recording large scenes in real-time.
The Arducam IMX219 NoIR camera module is particularly unique because of its lack of an IR-cut filter, making the camera highly sensitive to infrared (IR) light. This makes it ideal for applications involving invisible IR light, such as night vision systems, heat detection, or various vision techniques that require capturing infrared radiation. This feature opens up new possibilities across a wide range of applications. Additionally, the module comes equipped with a manual focus system, allowing for precise adjustment of the image based on distance and project requirements. It is an excellent tool for both professionals and enthusiasts, offering ease of use and exceptional image quality. The module is compatible with various platforms, making it a flexible and future-proof product suitable for many different visual systems.
Data sheet
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
NVIDIA development kit with the ARM Cortex A57 1.43GHz CPU chip and the Maxwell graphics system consisting of 128 cores supporting CUDA technology. The module has a DDR4 4GB RAM memory. NVIDIA Jetson Nano Development Kit rev. B01 945-13450-0000-100
No product available!
Camera for Raspberry Pi minicomputers. Works with all versions of minicomputers with a CSI socket. The camera is equipped with a Sony IMX477R sensor with a resolution of 12.3MPx and a built-in IR filter. Raspberry Pi HQ Camera
No product available!
Kit containing a module with two cameras with a sensor OV5647 with a resolution of 5 MP and an expansion module for NVIDIA Jetson Nano. ArduCAM B0217J5
Image recognition sensor with built-in deep learning engine. The small module is equipped with an Omnivision OV7725 camera and various image recognition algorithms. Communication with the module is via the I2C and UART interface, as well as WiFi. DFRobot SEN0314
5MP camera for Raspberry Pi minicomputers (1080p resolution). Equipped with OmniVision OV5647 sensor.
No product available!
Module with a MLX90640 thermal imaging camera with a 32x24 field matrix and a 55° viewing angle. The board is equipped with a Grove connector and communicates via the I2C interface. Seeed Studio 114020141
No product available!
Camera module with Sony IMX219 sensor designed to work with NVIDIA Jetson Nano and Raspberry Pi Compute Module. It is equipped with a matrix with a resolution of 8 MPx and has a viewing angle of 79,3°. Waveshare IMX219-77 Camera
No product available!
Camera for Raspberry Pi CM3, CM3+ and NVIDIA Jetson Nano. It was equipped with a Sony IMX477R sensor with a resolution of 12.3MPx and a built-in IR filter. Waveshare IMX477 12.3MP Camera
Camera with a resolution of 2 MPx with a USB interface. Equipped with CMOS AR0230 sensor with 100° lens. ArduCAM B0203
Camera with CMOS sensor GC0308 with a resolution of 640x480 px. Equipped with motion detection, it communicates via a parallel interface. ArduCAM U6031-LEN
1 MP monochrome camera module with OV9281 sensor working with Raspberry Pi. Equipped with shutter and IR filter. Waveshare OV9281-160 Camera
Small form factor IR camera capable of tracking up to four heat/IR sources, can be controlled with Arduino, AVR via I2C interface. SEN0158
The OV5640 camera module is a 5-megapixel unit with a lens with a viewing angle of 110 degrees and a 24-pin connector. It is equipped with an IR Cut switch and a 70-mm cable, which allows it to automatically switch between day and night modes.
No product available!
Camera module with USB interface with a resolution of 2MP. Camera with Sony CMOS IMX291 sensor, the module is equipped with two microphones. ArduCAM B0201
Camera set with OV5647 5 MPx sensor, allows you to rotate the camera, control the angle of inclination and zoom. Works with Raspberry Pi. Swivel base included. ArduCAM B0167B5
Camera module with Sony IMX219 sensor designed to work with NVIDIA Jetson Nano and RPi Compute Module. The camera is equipped with a matrix with a resolution of 8 MPx and has a viewing angle of 162°. Waveshare IMX219-160 IR-CUT Camera
No product available!
Module with OV5647 sensor working with Raspberry Pi. It uses a built-in motorized IR-CUT filter that is turned on and off automatically depending on the lighting conditions. ArduCAM B003504
An 8MP camera designed to work with NVIDIA Jetson boards, as well as other systems such as ARM, DSP, and FPGA, offering a wide field of view and high image quality. The camera is very sensitive to infrared light due to the lack of an IR filter, which allows it to be used in applications such as night vision systems, heat detection, and robotic vision systems. ArduCAM B0193