zł115.10 tax excl.
A low-power, 3MP rolling shutter camera module designed to work with virtually any microcontroller via its SPI interface. Equipped with a NoIR M12 lens with manual focus, it delivers high image quality even in low light, making it ideal for IoT, monitoring, and automation applications. With low latency, an open SDK (MIT), and the ability to connect up to four cameras simultaneously, this module offers a flexible and scalable solution for advanced machine vision projects. ArduCAM B0435
The ArduCAM Mega 3MP is a modern camera module with a rolling shutter, designed for use with virtually any microcontroller. Thanks to its low latency (42 ms), low power consumption (under 200 mW), and high stability and precision, it is ideal for IoT applications, security systems, and environmental monitoring. The camera is equipped with a M12 NoIR lens featuring low distortion (<1.53%) and manual focus, making it suitable for low-light conditions. It supports a wide range of microcontrollers—from Arduino to STM32, ESP32, and RISC-V—using an SPI interface. With its open-source SDK under the MIT license, integration into custom projects is fast and flexible. Moreover, the adapter allows up to 4 cameras to be connected in parallel to a single microcontroller, enabling simultaneous image capture from multiple sources. This makes it a perfect solution for automation, surveillance, and image acquisition in challenging environments.
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
An advanced 5MP camera with an SPI interface, it boasts low power consumption, high image quality, and broad compatibility with popular microcontrollers such as Arduino, ESP32, STM32, and RISC-V. This model is equipped with an M12 NoIR lens with manual focus, enabling image capture at night and in low-light environments. An open API and MIT-licensed SDK make the camera ideal for IoT systems, industrial automation, educational, and environmental projects. ArduCAM B0437
5 MP CMOS camera with M12 lens and Rolling Shutter, designed for IoT, monitoring and automation. Communicates via SPI interface, works with popular microcontrollers (Arduino, ESP32, STM32, Raspberry Pi Pico), offers low power consumption and high image quality with <1.53% distortion. Supports JPEG, RGB, YUV formats and allows you to connect up to 4 cameras simultaneously; integration facilitated by open SDK under MIT license. ArduCAM B0436
No product available!
A low-power, 3MP rolling shutter camera module designed to work with virtually any microcontroller via its SPI interface. Equipped with an M12 lens with manual focus, it delivers high image quality, making it ideal for IoT, monitoring, and automation applications. With low latency, an open SDK (MIT), and the ability to connect up to four cameras simultaneously, this module offers a flexible and scalable solution for advanced machine vision projects. ArduCAM B0434
A low-power, 3MP rolling shutter camera module designed to work with virtually any microcontroller via its SPI interface. Equipped with a NoIR M12 lens with manual focus, it delivers high image quality even in low light, making it ideal for IoT, monitoring, and automation applications. With low latency, an open SDK (MIT), and the ability to connect up to four cameras simultaneously, this module offers a flexible and scalable solution for advanced machine vision projects. ArduCAM B0435
No product available!
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
A rolling shutter camera designed for use with microcontrollers equipped with an SPI interface. Equipped with a 5MP sensor and autofocus, it captures detailed images. With a simple API, low power consumption, and support for multiple platforms (Arduino, ESP32, STM32), it\'s ideal for applications in surveillance, IoT, education, and automation. ArduCAM B0401
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
Camera module with OV5647 sensor with a resolution of 5 MP and optical image stabilization. Works with all versions of the Raspberry Pi. Waveshare OV5647-70 5MP OIS Camera
No product available!
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!
3D stereo camera module, which is built with two cameras with Sony IMX219 sensor and ICM20948 IMU sensor. It is designed to work with the Raspberry Pi Jetson Nano. Waveshare IMX219-83 Stereo Camera
No product available!
Camera module with Sony IMX219 sensor designed for use with the NVIDIA Jetson Nano, Raspberry Pi, RDK X3, VisionFive2, etc. The camera is equipped with an 8 MPx sensor and has a 160° viewing angle. Waveshare IMX219-160IR Camera
No product available!
Camera module with Sony IMX219 sensor designed to work with NVIDIA Jetson Nano and Raspberry Pi Compute Module, RDK X3, VisionFive2, etc. It is equipped with a matrix with a resolution of 8 MPx and has a viewing angle of 200°. Waveshare IMX219-200 Camera
No product available!
Camera module with Sony IMX219 sensor designed to work with NVIDIA Jetson Nano and Raspberry Pi Compute Module. It is equipped with a matrix with a resolution of 8 MPx and has a viewing angle of 120°. Waveshare IMX219-120 Camera
No product available!
Camera module with Sony IMX219 sensor designed to work with NVIDIA Jetson Nano and Raspberry Pi Compute Module. It is equipped with a matrix with a resolution of 8 MPx and has a viewing angle of 79,3°. Waveshare IMX219-77 Camera
No product available!
Intelligent image sensor with LoRaWAN communication dedicated to applications such as image recognition, people counting, object detection, etc. Supports TensorFlow Lite models. Seeed Studio 101990962
ToF camera module dedicated to Raspberry Pi and NVIDIA Jetson minicomputers. Thanks to the built-in Time of Flight sensor, it allows you to create a three-dimensional image and measure the distance to objects in the field of view. ArduCAM B0410
Camera module with OV5647 sensor that works with Raspberry Pi. It has an integrated IR filter and a Fisheye lens with a 220° viewing angle. ArduCAM B0428
Official camera module set to work with Raspberry Pi minicomputers. Equipped with a Sony IMX708 sensor with a resolution of 12 Mpx and a lens with a viewing angle of 75 ° with autofocus. Raspberry Pi SC0872
The official camera module designed to work with Raspberry Pi minicomputers. Equipped with a Sony IMX708 sensor with a resolution of 12 Mpx and a lens with a viewing angle of 75 ° with autofocus. Version without IR filter. Raspberry Pi SC0873
No product available!
Official camera module set to work with Raspberry Pi minicomputers. Equipped with a Sony IMX708 sensor with a resolution of 12 Mpx and a lens with a viewing angle of 120 ° with autofocus. Raspberry Pi SC0874
No product available!
The official camera module designed to work with Raspberry Pi minicomputers. Equipped with a Sony IMX708 sensor with a resolution of 12 Mpx and a lens with a viewing angle of 75 ° with autofocus. Version without IR filter. Raspberry Pi SC0875
No product available!
Camera for Raspberry Pi minicomputers. Works with all versions of minicomputers with a CSI socket. The camera is equipped with a Sony IMX477R sensor with a resolution of 12.3MPx and a built-in IR filter. Raspberry Pi HQ Camera
No product available!
A low-power, 3MP rolling shutter camera module designed to work with virtually any microcontroller via its SPI interface. Equipped with a NoIR M12 lens with manual focus, it delivers high image quality even in low light, making it ideal for IoT, monitoring, and automation applications. With low latency, an open SDK (MIT), and the ability to connect up to four cameras simultaneously, this module offers a flexible and scalable solution for advanced machine vision projects. ArduCAM B0435