Develop Software that will Make use of Data Analytics and Machine Learning - Management Assignment Help

Assignment Task:

Executive Summary
This project aims to develop software that will make use of data analytics and machine learning to analyse data captured from mounted cameras on council vehicles to identify and prioritise road defects. These defects will be classified based on their location, severity, defect type and the level of traffic on the affected road. This information will then be used to prioritise the defects in order of required attention and urgency, which will then be presented in a graphical and easily understood
format.
A literature review was conducted on the current state of the technology and how it fares against the traditional, manual method of road inspections and defect analysis. The research identified a number of issues with the traditional method, mainly that it is subject to human subjectivity and bias, as well as being time-intensive and often inconsistent across different assessors based on individual experience. Multiple studies and experiments conducted on the efficacy of automated defect detection found that these systems are both highly efficient and accurate. An early prototype developed in 2011 achieved accuracy ratings of 86% on minimal training data. Moreover, a real- world implementation in Australia in 2019 analysed images capture from school buses and achieved an accuracy rating of over 95% and experienced false positives less than 5% of the time. The Moreton Bay Regional Council currently uses a manual method of road defect analysis and is a good candidate for the implementation of an automated system. A case is made on the many benefits of an automated detection system and the positive impact it will have on the council, it’s employees and the community. Particularly, the elimination of human error and bias and allowing employees to focus on other tasks, leaving the system to handle the laborious task of analysing the large set of images captured. The system will identify, classify and then prioritise each defect based on a variety of factors including severity and location traffic to ensure council resources are allocated effectively.
A project schedule is provided to outline each task required to complete this project, as well as the time required for each. This is included for transparency of resources allocated and to clearly outline task ownership and responsibility.

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