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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.
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
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
Kit with AR0234 2.3 MP camera, USB 2.0 adapter and USB cable. ArduCAM EK031
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No product available!
An AI camera module that integrates seamlessly with Raspberry Pi. It stands out with a resolution of 12.3 MPx and the ability to record video in 4056×3040@30fps, 3840×2160@30fps and 1920×1080@60fps modes. It is equipped with autofocus and a lens that provides a wide field of view (81° x 69° x 55°). ArduCAM B0505
No product available!
Camera module for Raspberry Pi minicomputers with IR-CUT filter. Equipped with an OV5647 (5 MPx) sensor, it supports image acquisition both during the day and at night. Waveshare 15203
Pcam 5C: 5 MP Fixed Focus Color Camera Module with Omnivision OV5640 5 megapixel (MP) color image sensor which includes various internal processing functions, incl. automatic white balance, automatic black level calibration, and controls for adjusting saturation, hue, gamma and sharpness. Digilent 410-358
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Camera with OV9282 sensor designed for DepthAI systems. Equipped with a Fisheye lens. It is a replacement element for DepthAI OAK-D modules. ArduCAM B0329
Camera with OV4689 CMOS sensor with a resolution of 2688x1520 px. It communicates via a parallel interface. ArduCAM U6035
Camera with OV9282 sensor designed for DepthAI systems. Without IR filter. It is a replacement element for DepthAI OAK-D modules. ArduCAM B0299
Camera module designed for RP2040 development boards. It uses the Himax HM01B0 sensor to achieve excellent performance in low light. ArduCAM B328
12 MPx camera with USB 2.0 interface. Equipped with a sensor with a 110° viewing angle and a microphone. ArduCAM B0433
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