Hardware Acceleration using Machine Learning on FPGAs

Project Title

Hardware Acceleration using Machine Learning on FPGAs

Project Area of Specialization Artificial IntelligenceProject Summary

To achieve acceleration in performace of tinyYOLO CNN algorithm by implementing it on FPGA. Acceleration will be showcased by employing the accelerated algorithm for obstacle detection in a toy car

Project Objectives

To accelerate tinyYOLO algorithm via FPGA based implementation

Project Implementation Method

Use of verilog for programming of FPGA

Benefits of the Project

Accelerated algorithm may be implemented to develop autonomous vehicles in Pakistan

Technical Details of Final Deliverable

Toy car with camera attached that helps in obstacle detection to create an autonomous vehicle

Final Deliverable of the Project HW/SW integrated systemType of Industry IT Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	70000
FPGA	Equipment	1	70000	70000