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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
The OpenMV Cam RT1062 is a compact, energy-efficient module featuring a camera and microcontroller designed for easy implementation of machine vision applications. OpenMV Cam is programmed using high-level Python scripts (via the MicroPython operating system), greatly simplifying the handling of complex machine vision algorithms and high-level data structures. The software provides full control over the OpenMV Cam and its I/O pins in Python, enabling easy triggering of photos and video recordings based on external events, as well as executing machine vision algorithms.
This module is equipped with an RT1062 ARM 32-bit Cortex®-M7 processor operating at 600 MHz, achieving an impressive 1284 DMIPS, ensuring high computational performance. It has a total of 33 MB of RAM, including a 32 KB stack, 480 KB for data, and a 32 MB frame buffer. Additionally, it features 512 KB of SDRAM cache and 16 MB of Flash memory, comprising 256 KB for the bootloader and 3.768 MB for firmware, allowing flexible data management and quick access to key resources. The processor supports various image formats such as grayscale, RGB565, and JPEG, with maximum resolutions of 2952x1944 (5 MP) for all types.
The camera features a lens with a focal length of 2.8 mm and an aperture of F2.0, providing excellent optical performance. With a 1/3" format and a wide field of view, the camera is ideal for applications requiring a broad frame. Additionally, the M12 mounting and infrared filter provide extra flexibility in applications, allowing customization of the camera for different lighting conditions and project requirements.
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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
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The USB-C 2.0 Natec Prati cable, 2 meters long, is a universal solution that enables fast and safe charging of devices with up to 100 W power thanks to Power Delivery technology support. Made from durable TPE material, it ensures flexibility, durability, and user convenience, while the included Velcro strap facilitates storage and transport. Natec NKA-2147
The USB-C 2.0 Natec Prati cable, 1 meters long, is a universal solution that enables fast and safe charging of devices with up to 100 W power thanks to Power Delivery technology support. Made from durable TPE material, it ensures flexibility, durability, and user convenience, while the included Velcro strap facilitates storage and transport. Natec NKA-2146
IMX708-75 Camera is a standard version 12 MP camera with autofocus and a 75° field of view, designed to work with Raspberry Pi boards. It offers advanced image quality thanks to HDR and precise focus adjustment, making it suitable for projects related to monitoring, image recognition and high-resolution video recording.
ISG1321 is an industrial camera module with a global shutter, wide field of view and high refresh rate, dedicated to vision systems, high-speed motion capture and inspection tasks. Equipped with a MIPI-CSI interface, it enables integration with modern computing platforms.
DFRobot FIT1023 USB camera with an OV5648 sensor and autofocus provides high image quality and easy integration thanks to UVC compatibility. It supports MJPEG and YUY2, operates without drivers, and is used in vision systems, education, automation, and AI prototyping.
DFRobot SEN0634 camera module with OV9281 sensor and global shutter allows capturing sharp images of fast-moving objects. High sensitivity in low-light conditions and full compatibility with Raspberry Pi 4B and 5 make it a suitable solution for projects requiring precise motion recognition and real-time image detection.
Camera kit for projects requiring high bandwidth and long-distance transmission, equipped with four IMX219 8MP camera modules. With V3Link interface and FPD-Link technology, the kit provides reliable data transmission up to 10 meters, offering flexibility in channel management and independent control of each camera, making it ideal for applications in ADAS systems, security cameras, medical and industrial image processing. ArduCAM B0489
No product available!
USB 2.0 UVC-compliant camera with a SONY 16MP sensor (4656 × 3496), autofocus, and MJPG output, used for vision systems and image acquisition on Windows and Linux. ArduCam B0561
No product available!
2MP USB stereo camera module based on AR0144 sensors with global shutter, providing synchronized same-frame output from two cameras, USB 2.0 Type-C interface, and a 52mm stereo baseline. Waveshare AR0144 Stereo USB Camera (A)
2 MP camera based on the Sony IMX327 starlight sensor, equipped with a mechanical IR-CUT filter and a fixed-focus lens with a 90° field of view, designed for Raspberry Pi via the CSI interface. Waveshare IMX327 2MP IR-CUT Camera (A)
Global shutter camera based on the IMX296 sensor with 1.6MP resolution, designed for fast motion capture and machine vision applications, compatible with Raspberry Pi boards. Waveshare IMX296 Global Camera (A)
No product available!
CSI camera based on the IMX290 sensor with 2MP resolution, offering high sensitivity in low-light conditions, a low-distortion lens, and compatibility with Raspberry Pi boards. Waveshare IMX290 2MP Camera (A)
No product available!
2 MP USB stereo camera module based on OS02G10 sensors, featuring a USB 2.0 Type-C interface, synchronized same-frame output from both cameras, and low-distortion lenses with a 62 mm stereo baseline. Designed for vision systems and 3D applications. Waveshare OS02G10 Stereo USB Camera (A)
No product available!
Monochrome camera module with a Sony IMX296 sensor featuring a resolution of 1.6 MP (1456 × 1088), equipped with a global shutter for capturing fast-moving objects without image distortion. The M12 lens with a 130° field of view and CSI interface enables compatibility with Raspberry Pi boards for machine vision and imaging applications. Waveshare IMX296-130 BW Camera
No product available!
8 MP USB camera module based on the OS08A10 sensor, featuring a USB 2.0 interface and an M12 lens, offering 4K resolution (3840 × 2160) and very good low-light sensitivity thanks to a bright F1.6 aperture. Waveshare OS08A10 8MP USB Camera (A)
No product available!
8 MP USB camera module based on the Sony IMX678 sensor, featuring a USB 2.0 interface and an M12 lens, offering 4K resolution and enhanced low-light sensitivity for clear imaging under low illumination conditions. Waveshare IMX678 8MP USB Camera (A)
No product available!
USB camera based on the OV2735 sensor with a resolution of 2 MP, equipped with a fixed-focus 96° FOV low-distortion lens, USB 2.0 Type-C interface and SH1.0 4-pin connector, intended for vision systems, monitoring and embedded applications. Waveshare OV2735 2MP USB Camera (A)
No product available!
USB camera based on the OS05A10 sensor with 5 MP resolution, equipped with a fixed-focus 96° FOV lens with very low distortion, a USB 2.0 Type-C interface and an SH1.0 4-pin connector, intended for vision systems, image analysis and embedded applications. Waveshare OS05A10 5MP USB Camera (A)
No product available!
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