The ArduCAM USB camera shield is a universal camera control board designed for both PCs and embedded systems like the Raspberry Pi, TI Beaglebone, and similar products. It supports most parallel interface image sensors ranging from 0.3MP to 14MP, including both global and rolling shutter sensors. The camera is packaged with the software you need to put it to work on Windows and Linux systems and a comprehensive SDK library is provided to support this. This SDK is fully integrated with Python, which allows for direct integration of our cameras with your OpenCV based applications.
The plug and play USB control interface simplifies integrating the camera with a wide range of computer hardware. The ready to use SDK library and demo source code makes the software integration process straightforward and efficient. Users can make it work in minutes without writing a line of code. The broad range of modules ArduCAM supports, combined with support for formats like RAW, RGB, YUV, JPEG assures our users a successful outcome.
The ArduCAM USB camera shield joins our product line of shields that offer SPI/IC2 interfaces. The USB camera shield offers significant speed gains over the SPI camera shield, running at as high a frame rate as the USB2.0 480Mbps bandwidth allows which can deliver 640_480(VGA at 60 FPS, through 4384_3228(14MP) at 2 FPS. By using a global shutter camera headboard such as the MT9V034/AR0134 together with USB camera shield, the user can achieve industrial level machine vision with our camera on a Raspberry pi without effort.
The ArduCAM is straightforward enough that it can be easily used with PCs and single board computers such as the Raspberry Pi and the Beaglebone. In short, the ArduCAM brings a plug and play solution to digital cameras at the hardware level.
Table 1 Supported Camera Modules
|Resolution||Sensor Vendor||Camera Module||Manufacture|
|0.3MP||Omnivision||OV7660 / OV7670 / OV7675 / OV7725||ArduCAM|
|1.3MP||Aptina||MT9M112 / MT9M001/AR0134||ArduCAM|
|2MP||Aptina||MT9D111 / MT9D112||ArduCAM|
|5MP||Omnivision||OV5640 / OV5642||ArduCAM|
Using 10MP MT9J001 Monochrome Sensor headboard (original RAW data)
Using 14MP MT9F002 Color Sensor headboard (original RAW data)