Accelerator equipment for neural network video analytics on Intel FPGA
Equipment development and production of the Russian Federation
Support for Intel OpenVinoToolKit: standard video analytics development toolkit on neural networks, ready-made library of pre-trained neural network models
Implementation of neural network analytics for the “Safe City” program
We focus on the implementation of neural network video analytics for the Safe City program.
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We have developed and serially produce 2 types of equipment for video analytics tasks
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- Embedded SOM video camera (54x44mm)
- PCIe-accelerator embedded in the video server (168x69x28mm)
New Accelerator EulerProject HPC with support for Intel Open VINO Toolkit
- Form factor ½ PCI Express 168 mm x 69 mm x 28 mm
- Host interface 8-lane PCI-Express Gen 3
- Two DDR4 controllers (HPC version), each bank of 8-16GB
- Intel Arria-10 FPGA 20nm
How to use Euler HPC with OpenVINO support
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The new accelerator of the Russian development and production of EulerProject HPC based on Intel® Arria 10 1150GX PCIe FPGA can be easily integrated into a small server.
IntelOpenVinotoolkit support implemented
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- Mainstream N.S. support frameworks (Caffe, TensorFlow)
- Opportunity optimizations
- The possibility of developing custom neural network convolution topologies or modifications of primitives N.S.
Intel OpenVINO library of pre-trained models
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The library is actively developing and expanding. The following models are currently available:
- Generic Age & Gender Recognition
- Camera Tampering Detection
- Generic Face Detection
- Face Detection for Retail
- Person Detection for Retail
- Face Detection for Automotive
- Person, Vehicle & Bike Detection
- Vehicle License Plate Detection
- License Plate Recognition
- Age & Gender Recognition for Retail
- Vehicle Attributes Recognition
- Head Pose Estimation for Automotive
- Semantic Segmentation
- Road Segmentation
- Person Attributes
- Person Re-identification
- Pedestrian Detection
- Pedestrian & Vehicle Detection
- Emotions Recognition