Developer Kits with Intel Atom® Processors
Preinstalled Software
Get the most out of your hardware performance with the Intel® Distribution of OpenVINO™ toolkit, Ubuntu* Desktop LTS, and libraries.
Pretrained Models for Acceleration
Choose from various optimized detection and recognition models for developing deep learning applications.
Training Extensions for Deep Learning
Modify, customize, train, and extend computer vision models for deep learning and inference optimization.
Overview
Build efficient solutions for retail, industrial, healthcare, and other applications at the edge on developer kits with Intel Atom® x7000E processors. These developer kits come with a preinstalled software stack. Combined with the efficient multitasking performance, graphics capabilities, and expanded I/O features, you have a complete kit that helps accelerate the development and deployment of your solution.
- Delivers improved single-thread and multithread performance with up to eight cores and higher memory bandwidth with DDR5 and LPDDR5 SDRAM support.
- Accelerates AI performance. Use for up to three simultaneous displays on Intel® UHD Graphics, which is based on Xe Architecture with up to 32 execution units. These execution units are the graphics compute processors that are optimized for simultaneous multithreading.
- Expands support for more connectivity and interfaces including Wi-Fi* 6E and Bluetooth® technology 5.3.
- Delivers built-in support to combine data from validated sensors (such as accelerometers, gyroscopes, and magnetometers) to create a more complex virtual sensor for your solution.
Who Needs This Product
System integrators, independent software vendors (ISVs), and IoT developers who create vision-based inferencing applications—such as autonomous mobile robots, retail self-serve kiosks, medical devices, and industrial computers at the edge—that demand:
- High-performance AI inferencing algorithms across Intel® Vision Products and platforms
- Efficient performance and expanded I/O features to support multiple cameras, devices, sensors, and displays
- Ability to offload multiple workloads to either an Intel® processor, graphics processing unit (GPU), or an optional Intel® Vision Accelerator
- Support for three simultaneous displays (up to 4K)
To determine the features and capabilities implemented by our ecosystem collaborators, see Hardware.
Reference Implementations
Use these available prebuilt and validated reference implementations to test and deploy industrial, retail, and healthcare applications enabled for computer vision.
Your experience may vary depending on the configuration of your developer kit. For details, see the target system requirements in the reference implementation.
Hardware
UP Squared* 7000 Edge Computing Kit
- Delivers performance powered by the Intel Atom x7000E processor.
- Prevalidated Edge Insights for Vision enables computer vision and deep learning inference for applications at the edge, optimized for Intel architecture.
- Offers industrial features such as time-sensitive networking (TSN), Intel® Time Coordinated Computing, in-band ECC, and an onboard Trusted Platform Module (TPM) 2.0.
UP Squared Pro 7000 Supports MIPI CSI-2* (camera serial interface) and HDMI input |
UP 7000 Delivers performance with a credit-card-sized developer board |
Software
Intel® Distribution of OpenVINO™ Toolkit
- Enable convolutional neural network-based deep learning inference on the edge.
- Support heterogeneous running across various accelerators—CPUs, GPUs, Intel® Movidius™ Neural Compute Sticks (NCS), and Intel Vision Accelerator Design products—using a common API.
- Speed up time to market via a library of functions and preoptimized kernels.
Overview | Training | Documentation | Get Started | Forum
Intel® oneAPI Base & IoT Toolkit
The combination of Intel® oneAPI Base Toolkit and Intel® oneAPI IoT Toolkit provides developers what they need to implement efficient, reliable, cross-architecture IoT solutions that run at the network edge. It delivers a core set of high-performance build tools and libraries and analysis tools to simplify IoT system design, development, and deployment across CPUs, GPUs, FPGAs, and other accelerator architectures.
Intel® Edge Software Hub
- Download the latest software packages for edge solutions (including computer vision and deep learning applications) for Intel architecture.
- Develop, test, deploy, and maintain solutions at the edge with software packages and tools.
- Optimize your computer vision and deep learning applications for Intel architecture with the Intel Distribution of OpenVINO toolkit.
- Maintain and manage your applications with containerized architecture and regular updates.
- Get started quickly with reference implementations, tutorials, and samples.