Overview
Experience the performance of hardware accelerators and Intel® Core™ processors.
- Preinstalled developer tools and SDKs
- Quick setup with preloaded samples
- Accelerate workloads on CPUs and GPUs
- Offload workloads to optional Intel® Vision Accelerator products
Additional processor options for this kit:
Preinstalled Software Stack
Get the most out of your hardware performance with the Intel® Distribution of OpenVINO™ toolkit, Intel® Media SDK, and libraries.
Pretrained Models for Acceleration
Choose from a variety of 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.
Who Needs This Product
System integrators, independent software vendors (ISVs), and IoT developers who create solutions using the following processes and applications:
- Computer vision
- Media encoding and decoding
- Signal and data processing
- High-performance deep learning applications across Intel® platforms
- Applications that run across all Intel® Vision products
- Intel® Distribution of OpenVINO™ toolkit
Reference Implementations
Monitor industrial, retail, factory, and other work spaces using computer vision and visual dashboards and by ingesting and measuring data.
Intel® Vision Accelerator Design Products
The IEI* TANK AIoT Developer Kit with an optional vision accelerator enables the following capabilities:
- Analysis and capture of more than a dozen video streams
- Inference acceleration at the edge
- High-performance computer vision applications across Intel® platforms
IEI TANK AIoT Developer Kit |
IEI TANK AIoT Developer Kit with IEI* Mustang-V100-MX8 |
|
|---|---|---|
| Silicon Solution |
Intel® HD Graphics |
Eight Intel® Movidius™ Myriad™ X Vision Processing Units (VPU) 2485 |
| Temperature Range |
0°C – 65°C |
0°C – 45°C |
| Image Size |
HD to 4K (on GPU) |
Less than or equal to 720p (on VPU) |
| Power Budget (using an Intel® Core™ i7 processor with 8 GB memory) |
System ~70 W |
System plus 25 W |
Review the supported pretrained models for the Intel® Distribution of OpenVINO™ toolkit. Learn More
Kit Details
Hardware
- IEI TANK 870-Q170 system
- 120 V power cable
- Intel® Vision Accelerator Design products (optional)
Preinstalled Software
- Intel® Distribution of OpenVINO™ toolkit
- Intel® Media SDK
- Ubuntu* 16.04 desktop LTS
- Intel® System Studio 2019 Ultimate Edition
Hardware Specifications
System Board
Choose any of the following:
- 6th generation Intel Core i5 processor 6500TE (2.3 GHz to 3.3 GHz quad core, 35 W thermal design power)
- 7th generation Intel Core i5 processor 7500T (2.7 GHz to 3.3 GHz quad core, 35 W thermal design power)
- 6th generation Intel Core i7 processor 6700TE (2.4 GHz to 3.4 GHz quad core, 35 W thermal design power)
- 7th generation Intel Core i7 processor 7700T (2.9 GHz to 3.8 GHz quad core, 35 W thermal design power)
Intel® Q170 Chipset
8 GB DDR4 system memory
16 GB DDR4 system memory (7th generation Intel Core i7 processor 7700T only)
1 TB hard disk drive (HDD)
I/O Interfaces
4 - USB 3.0
4 - USB 2.0
4 - RS-232 (2 - RJ-45, 2 - DB-9 with isolation)
2 - RS-232/422/485 (DB-9)
8-bit digital input (4-bit input, 4-bit output)
1 - VGA
1 - HDMI plus DisplayPort*
1 - Line out, 1 - microphone-in audio
Intel® Ethernet Connection I219-LM
Intel® Ethernet Controller I210
Dimensions
Height x width x depth: 5 in. x 8 in. x 10 in.
(121.5 mm x 205 mm x 255.2 mm)
13.9 lbs (6.3 kg)
Expansion Slots
2 - PCIe* with 8 data lines
PCIe* Mini: 1 - half size, 1 - full size (supports mSATA, colay with SATA)
Operating Temperature
-20°C to 60°C with air flow
Software
Intel® Distribution of OpenVINO™ Toolkit
- Enable convolutional neural network-based deep learning inference on the edge
- Support heterogeneous execution across various accelerators—CPU, GPU, Intel® Movidius™ Neural Compute Stick, and Intel Vision Accelerator Design products—using a common API
- Speed up time to market via a library of functions and preoptimized kernels
Intel® System Studio 2019
- Optimize production and performance
- Get cross-platform support
- Quickly identify and analyze performance across network, devices, and remote systems
- Reduce system power consumption by collecting and analyzing power behavior
- Access Intel® Advanced Vector Extensions 512 instructions
Arduino Create*
- Cloud-based development solution
- Integrated with Intel®-based boards and libraries
- Large community collection of guides, projects, and training for all levels