FPGA processor: Deep Learning for security barrier camera sample to perform vehicle detection, vehicle attributes and license-plate recognition tasks. 

The demo illustrates my own solution for security barrier camera sample with pre-trained models to perform vehicle detection, vehicle attributes and license-plate recognition tasks. Solution bases on Intel and dedicated for mainly FPGA, but also works on CPU, GPU processors. Software written in low-level C/C++.

Please pay attention that solution extracts region of country (i.e. S = Slaskie), city code and plate number

Intel Demonstration of FPGA-based AlexNet Deep Learning Processing:

Machine Learning on FPGAs: Neural Networks: