This CANBed-FD adopts MCP2517FD CAN Bus controller with SPI interface and MCP2542FD CAN transceiver to achieve the CAN-BUS capability. With an OBD-II converter cable added on and the OBD-II library imported, you are ready to build an onboard diagnostic device.
Compact size (56x41mm)
Work at CAN-FD and CAN 2.0
Industrial standard 9 pin sub-D connector or 4-pin terminal
OBD-II and CAN standard pinout selectable at sub-D connector
2 x 4-Pin Grove connectors compatible with the Grove ecosystem
To install The IoT Guru integration into your Arduino IDE you can use the Library Manager (available from IDE version 1.6.2). Open the IDE and click to the Sketch menu and then Include Library > Manage Libraries.
Then the Library Manager will open and you will find a list of libraries that are already installed or ready for installation. In order to install The IoT Guru integration, search for “The IoT Guru integration“, scroll the list to find it and click on it.
Finally click on install and wait for the IDE to install The IoT Guru integration. Downloading may take time depending on your connection speed. Once it has finished, an Installed tag should appear next to the The IoT Guru integration library. You can close the Library Manager.
You can now find The IoT Guru integration available in the Sketch > Include Library menu.
We included some examples to our library, so that you can choose various examples to integrate your devices with our services, for example the basic device connection:
This high-quality camera is equipped with an IMX477 12.3MP high quality camera module which adopts the IMX477R sensor. It supports CS-mount lenses by default, but however, a C-CS adapter is included in order to use C mount lenses as well with this camera. It is compatible with Raspberry Pi Compute Module 3, 3 Lite, 3+, 3+ Lite, and NVIDIA Jetson Nano. This offers a higher resolution (12.3MP) and higher sensitivity (nearly 50% greater area per pixel for improved low-light performance) than the traditional 8MP IMX219 cameras.
Sony IMX477 sensor with 12.3MP for high resolution
Greater pixel area for improved low-light performance
Back-illuminated sensor architecture for improved sensitivity
Seeeduino XIAO is the smallest Arduino compatible board in Seeeduino Family. It is an Arduino microcontroller that is embedded with the SAMD21 microchip. The interfaces of Seeeduino XIAO is rich enough in such a tiny Dev. Board as well.
The power of Raspberry Pi 4 in a compact form factor for deeply embedded applications. Raspberry Pi Compute Module 4 incorporates a quad-core ARM Cortex-A72 processor, dual video output, and a wide selection of other interfaces. Available in 32 variants, with a range of RAM and eMMC Flash options, and with or without wireless connectivity.