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 |
If you need this project, please contact me on contact@adikhanofficial.com
Online blood bank system with Bar code technology
An online blood bank system will be developed to help the people and enable to donate the...
smart irrigation in tunnel farming using IOT
In a basic IOT system, different devices and services are connected to each other to estab...
Mind Bender
We are adding such a functionality in a wheelchair which will allow disabled users to move...
Cognitive Cattle Care
Cattle monitoring tracking and environment Project Objectives (less than 2500 charact...
Development of Low cost Prosthetic Arm
An artificial machine that pics up signal from residual mass of muscles and converts it to...