Scalable Vehicle Detection on Edge Devices 
A repository on my Research Internship work with Prof. Arani Bhattacharya at Indraprastha Institute of Information Technology Delhi(IIIT-Delhi)
Table of Contents
Project abstract
The safety of smart cities can be improved by identifying vehicles that are violating traffic rules. While a lot of work has been done to design computer vision based algorithms for such detection, they do not currently scale well if done on a city-scale. The goal of this project is to make such algorithms scalable, by identifying ways of reducing the compute or using more intelligent scheduling of jobs on edge devices. This requires interest in systems work as well as some basic understanding of algorithms and computer networks.
Project Advisor
Prof. Arani Bhattacharya, IIIT-Delhi
NOTE: There are some tags used below which have got the following meanings.
In Progress:clock2: The work is in progress and is under development due to current state.Yet To Be Done:hourglass:: This indicates that it will be done in the future as it is yet to be implemented
Weekly Updates
- Week 1 - Weekly Report
Yet To be Done - Week 2 - Weekly Report
Yet To be Done - Week 3 - Weekly Report
Yet To be Done - Week 4 - Weekly Report
Yet To be Done - Week 5 - Weekly Report
Yet To be Done - Week 6 - Weekly Report
Yet To be Done - Week 7 - Weekly Report
Yet To be Done - Week 8 - Weekly Report
Yet To be Done - Week 9 - Weekly Report
Yet To be Done - Week 10 - Weekly Report
Yet To be Done - Week 11 - Weekly Report
Yet To be Done - Week 12 - Weekly Report
Yet To be Done - Week 13 - Weekly Report
Yet To be Done
Final Verdict
:parachute: Yet To be Done
Footnotes
- We have weekly meetings over (Needs to decide)
- I will be mainting this repository for my research on this project
- I will be writing weekly basis srcum documentation in the respective week files
