Silicone rubber material defect detection using convolutional neural networks: A small engineering organisation using AI based automation to improve manufacturing outcomes

Bishop, Matthew (2023). Silicone rubber material defect detection using convolutional neural networks: A small engineering organisation using AI based automation to improve manufacturing outcomes. Student dissertation for The Open University module T847 The MSc Professional Project.

This dissertation was produced by a student studying the Open University module T847: The MSc Professional Project.T847 The MSc Professional ProjectThe research showcased here achieved a grade in either the Pass 1 band (equivalent to a 1st) or the Pass 2 band (equivalent to a 2.i).
Please note that this student dissertation is made available in the format that it was submitted for examination, thus the author has not been able to correct errors and/or departures from academic standards in areas such as referencing.
Copyright resides with the author.

DOI: https://doi.org/10.21954/ou.ro.000172a4

Viewing alternatives

Download history

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About