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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
No product available!
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
Camera module with OV5647 sensor working with Raspberry Pi. Has no built-in IR filter and comes with a 130° Fisheye lens
No product available!
Arducam UB0240 with Sony IMX179 sensor offers 8 MP image at 30 fps and autofocus, ensuring high-quality capture in industrial, educational, and hobby applications. Thanks to UVC compliance and support for multiple operating systems, it can be easily integrated with computers and embedded devices.
A set with four cameras equipped with IMX219 sensors with a resolution of 8 MPx and an adapter for Raspberry Pi minicomputers. ArduCAM B0178
ArduCam MT9D111 2MPx camera module with matrix MT9D111. Resolution: 1600 x 1200 pixels (2 MPx), pixel size: 2.8 x 2.8 μm, built-in JPEG encoder - operating in real time. ArduCAM B0054
No product available!
OV5647 Camera Board /w CS mount Lens fully compatible with Raspberry Pi. ArduCAM B0032
The camera module with the Sony IMX219 sensor with motorized IR filter. Works with all versions of the Raspberry Pi. The camera is equipped with a matrix with a resolution of 8 MPx. ArduCAM B0154
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
No product available!
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
No product available!
A set with a camera with a resolution of 1 MPx with an OV9281 sensor, a USB 2.0 adapter and a cable. ArduCAM EK025
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
2 MP camera module with OV2311 sensor, compatible with Raspberry Pi. Without IR filter, equipped with shutter and M12 lens mount. Acrylic housing included. ArduCAM B0381
No product available!
2 MPx camera module with OV2311 sensor working with NVIDIA Jetson Nano. Equipped with a shutter and M12 lens mount. Acrylic housing included. ArduCAM B0221
Monochrome VGA camera module with HM0360 sensor working with Raspberry Pi Pico. It uses 1 bit video interface and I2C to configure the registers. ArduCAM B0319
No product available!
The IMX219-77 camera module with a 77.6° field of view extends the capabilities of the Raspberry Pi Camera V2, offering a wider field of view and high 8 MP image quality. Designed for educational, hobby, and analytical projects based on the Raspberry Pi platform.
No product available!
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
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