Hardware Acceleration using Machine Learning on FPGAs
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 Title
Hardware Acceleration using Machine Learning on FPGAs
Project Area of Specialization
Project 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
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| FPGA | Equipment | 1 | 70000 | 70000 |
| Total in (Rs) | 70000 |
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