IMX219-120 8 MP camera module for Jetson Nano - Waveshare 16579

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

5-megapixel HD camera module with OV5647 sensor designed for Raspberry Pi computers. The camera is equipped with a fisheye lens, the focal length is adjustable. Waveshare RPi Camera (G)

Camera with a resolution of 2 MPx with a USB interface. Equipped with a CMOS IMX291 sensor with an ultra-wide lens with a viewing angle of 160°, a microphone and a case. ArduCAM UB020201

The camera is equipped with an SC3336 sensor with a resolution of 3 megapixels (2304 x 1296 pixels). It is compatible with the Luckfox Pico module, which allows it to be easily integrated into various projects and applications. Waveshare SC3336 3MP Camera (B)

Module with a 12 MP camera equipped with an IMX708 sensor. It has a built-in digitally controlled focus. The set includes a USB 3.0 adapter, a tripod and a cable. ArduCAM B0474

A comprehensive multi-camera solution designed for Raspberry Pi and NVIDIA Jetson platforms. The kit includes four synchronized IMX219 cameras and a Camarray HAT module, which allows for data transfer via a single CSI-2 interface. The system is ideal for applications such as SLAM, AR/VR, stereo vision, object tracking, and 3D reconstruction. ArduCAM B0396

The ArduCAM miniature camera module, equipped with the Omnivision OV5647 sensor, is compatible with Raspberry Pi minicomputers and allows you to capture images in 5 MP resolution and record video in 1080p quality. Thanks to its compact dimensions, low power consumption and fast CSI interface, it is ideal for mobile applications, monitoring and IoT projects. ArduCAM B0033+B0087

The camera set with the IMX219 8 MPx sensor allows you to rotate the camera, control the angle of inclination and zoom. Works with Raspberry Pi. Swivel base included. ArduCAM B0167B8

A low-power, 3MP rolling shutter camera module designed to work with virtually any microcontroller via its SPI interface. Equipped with a NoIR M12 lens with manual focus, it delivers high image quality even in low light, making it ideal for IoT, monitoring, and automation applications. With low latency, an open SDK (MIT), and the ability to connect up to four cameras simultaneously, this module offers a flexible and scalable solution for advanced machine vision projects. ArduCAM B0435

The camera module is based on a CMOS sensor - AR0134. It has a resolution of 1280 x 960 px (1.2 MPx). The module supports recording of video sequences: 1280 x 960 @ 54fps and 1280 x 720 @ 60Ffps. Intended for use only with the ArduCam USB Shield module. Arducam B0100

Raspberry Pi Camera Module, Fixed-focus, 5 megapixel OV5647 sensor in a fixed-focus module. Waveshare RPi Camera (D)

Camera module with an OV5642 matrix with a resolution of 5 MPx and a size of 1/4 "with output in JPEG format. The transmission speed in the full resolution of 2592 x 1944 pixels is 15 fps. It is equipped with an M12x0.5 1/4 \'\' lens. The device works with 3.3 V, it communicates via a parallel interface. ArduCam B0020

OV5640 camera module equipped with a 5 MP sensor and a lens with a wide viewing angle of 120 degrees with autofocus. It is perfect for applications related to security systems and monitoring, but also in robotics. Adafruit 5838

Camera module with OV5640 sensor with a resolution of 5 MP. Equipped with fisheye lens, it communicates via the SCCB interface. Waveshare OV5640 Camera Board (B)

A compact USB camera with a Sony IMX298 sensor, offering high-resolution 16MP, autofocus, and smooth 4K video recording with audio. UVC compatibility means it works without installing drivers on Windows, Linux, macOS, and Android, with image parameter adjustments available directly from within the system. Its robust metal housing and energy efficiency make it an ideal choice for monitoring, 3D printing, machine vision, and DIY projects. ArduCAM B029001

Energy-efficient module with a 5MP camera and an ARM 32-bit Cortex-M7 microcontroller that allows easy implementation of machine vision applications. It is programmed in the MicroPython language, which greatly simplifies handling complex machine vision algorithms and working with high-level data structures. SparkFun SEN-25035