zł692.50 tax excl.
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
Responsible person
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 5MP sensor dedicated to Raspberry Pi. Designed for 3D printing monitoring systems. ArduCAM B0033R
Camera module with OV5647 5MP sensor dedicated to Raspberry Pi. Designed for 3D printing monitoring systems. Comes with a case. ArduCAM B0033C
Camera module with OV5647 5MP sensor dedicated to Raspberry Pi. Designed for 3D printing monitoring systems. Without IR filter. ArduCAM B003301
No product available!
A set with four cameras equipped with IMX219 sensors with a resolution of 8 MPx and an adapter for Raspberry Pi minicomputers. ArduCAM B0178
1 MPx camera module with OV9281 sensor working with Raspberry Pi. Equipped with a shutter and M12 lens mount, no IR filter. ArduCAM B0165
A miniature camera module with a 5MP OV5647 sensor dedicated to the Raspberry Pi. Designed for spy systems where image size and quality are important. Without IR filter. ArduCAM B0066-02
The module with the AR0234 sensor, working with all versions of the Raspberry Pi. The sensor used has a matrix of 2.3 MP and allows you to record video at resolutions 1920x1200 @ 60fps. ArduCAM B0353
Module with IMX462 sensor working with Raspberry Pi. It has a 2 MP matrix and is compatible with ISP and Gstreamer. ArduCAM B0333
No product available!
Camera module with IMX477 sensor with a resolution of 12.3 MP for NVIDIA Jetson Nano/Xavier and Raspberry Pi Compute Module. ArduCAM B0279
Camera module designed for NVIDIA Jetson Nano/Xavier. The camera is equipped with a Sony IMX477 sensor with a lens and an IR-CUT filter. ArduCAM B0274
Camera module designed for NVIDIA Jetson Nano/Xavier NX. The camera is equipped with a Sony IMX477 sensor and focus controlled by the I2C interface. ArduCAM B0273
Mini camera module with IMX477 HQ sensor for NVIDIA Jetson Nano and Xavier NX. Equipped with a lens with an M12 mount with a viewing angle of 75°. ArduCAM B0251
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
1 MPx camera module with OV9281 sensor working with NVIDIA Jetson Nano. Equipped with a shutter and M12 lens mount, it is characterized by good sensitivity. ArduCAM B0223
Module with IMX298 sensor working with NVIDIA Jetson Nano. The sensor used has a 16 MP matrix and allows you to record video at resolutions of 16MP/30fps. Acrylic case included. ArduCAM B0214
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
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