We are excited to announce the availability of the IEI Tank AIoT Developer Kit, with support for the Intel® Distribution of OpenVINO™ toolkit and Intel® Media SDK.
Ease of Use
Industrial Deployable System
- 2 full size PCIe slots
- 2 mini PCIe slots: 1 full size and 1 half size
- 8 USB ports
- 2 LAN ports
- 6 COM ports
- An 8-bit digital I/O
- And more
Software Stack for Advanced Development
The pre-installed OS comes with the Intel® Distribution of OpenVINO™ toolkit, which helps developers fast-track development of high performance computer vision and deep learning inference into vision applications. It allows portability and scalability of your software by providing an method to run inference on multiple types of Intel® processors (CPU, Intel Processor Graphics (GPU), FPGAs, and VPUs).
Also included is the Intel® Media SDK (open source version), for hardware acceleration of encode and decode of video streams in your applications. By using both of these tools together, you can create a robust computer vision pipeline that optimizes the workload of your system.
In order to use this software stack, we’ve included two IDEs for development. Intel® System Studio, a comprehensive system and IoT development tool suite (includes an Eclipse-based IDE, and advanced analysis tools and debuggers to optimize system bring-up, performance, power efficiency, memory, storage, and more) so developers can efficiently move prototypes to product and deployment, and Arduino Create* by Arduino* which is a cloud-based IDE for prototyping.
These IDEs complement each other. In fact, if you start with Arduino Create, and want to move your project to Intel System Studio, you don’t have to start over. You can export your project as a CMake file, and import it into Intel System Studio using this process.
In addition to these two IDEs, we provide easy access to the open source MRAA and UPM sensor libraries (available in Intel System Studio). Intel System Studio also includes cloud connectors to easily connect to cloud services such as Amazon Web Services (AWS)*, Microsoft Azure*, and IBM Watson* (see also how to examples).