Luxonis Oak-D DepthAI - a set of cameras for image processing

Camera with IMX477 sensor with a resolution of 12.3 MPx designed for minicomputers Raspberry Pi. Equipped with focus controlled by the I2C interface. ArduCAM B0272

Camera module based on CMOS AR0134 matrix with a resolution of 1280x960 px (1.2 MPx). Designed for use with ArduCAM USB Shield. ArduCAM B0110

The 8MP NoIR camera is designed for low-light conditions and complete darkness. Utilizing a Sony IMX219 sensor without an IR filter, it captures images in infrared light, ideal for nighttime surveillance or wildlife observation. Compatible with the Raspberry Pi and equipped with a CSI connector, it provides high image quality and full support for standard resolutions and video modes. ArduCAM B0395

A set of cameras designed for projects related to artificial intelligence in the IoT area. The module contains three built-in cameras (two 720P and one 12MP) configured using the USB 3.0 interface via the type C connector and the ESP32 module for communication via WiFi or Bluetooth. SparkFun SEN-18737

Camera module with IMX219 sensor with a resolution of 8 MP equipped with programmable focus. Designed for NVIDIA Jetson Nano and Raspberry Pi Compute Module. ArduCAM B0181

Module with a camera equipped with an OV5693 sensor with a resolution of 5 MP. It uses a USB 2.0 interface, which allows easy connection to a computer or other device supporting this standard. It has a built-in autofocus function. Waveshare OV5693 5MP USB Camera (B)

A compact camera module with a Sony IMX335 sensor, offering 5MP (2592 x 1944) resolution and 2K @ 30 FPS video support. Thanks to WDR technology and high low-light sensitivity, it delivers clear and detailed images in all conditions. The camera uses a 3.25mm M12 lens with a wide 91.7° viewing angle and minimal distortion, supports MJPG and YUY2 formats, and is plug & play thanks to the USB 2.0 interface. A built-in microphone enables audio recording, making it ideal for machine vision, surveillance, AI, and video conferencing systems. Waveshare IMX335 5MP USB Camera (C)

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

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

OV5640 camera module equipped with a 5 MP sensor and a lens with a wide viewing angle of 72 degrees with autofocus. It is perfect for applications related to security systems and monitoring, but also in robotics. Adafruit 5840

A set with a camera with a resolution of 0.3 MPx with an OV7251 sensor, a USB adapter and a MIPI adapter. ArduCAM EK022

This camera features a 2048x1536 px sensor and a rolling shutter, designed to interface with microcontrollers via an SPI interface. Its low power consumption (<200 mW), fast wake-up time (42 ms), and support for multiple platforms (Arduino, STM32, ESP32) make it ideal for IoT, monitoring, and automation projects. Simple API commands, the ability to connect up to four cameras, and an open SDK make it a universal tool for engineers and hobbyists. ArduCAM B0400

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

Camera module based on the CMOS MT9V022 matrix with a resolution of 752x480 px (0.36 MPx). Designed for use with ArduCAM USB Shield. ArduCAM B0109

Camera with a resolution of 8 MPx with a USB interface. Equipped with CMOS IMX179 sensor with 75° lens, microphone, housing and tripod. ArduCAM UB019701

IMX415-98 IR-CUT camera module offers high-quality 4K UHD image with a wide field of view, while maintaining low distortion and good performance in low-light conditions. Its compact design and support for the CSI interface make it suitable for advanced AI projects, intelligent surveillance, and image recognition.