Within the scope of this research project, the value-added and non-value-added inspection processes of a manufacturing company are evaluated via the lens of the lean manufacturing concept. One of the most significant steps in this procedure is moving the component from one cell to the next, first for the purpose of inspection, and then returning to the first cell. The process was broken down into its component activities as a result of the observations. The activities were analysed and divided into three categories: value-added (VA), non-value-added (NVA), and essential non-value-added (ENVA). Both a qualitative and quantitative strategy were utilised in the research that was conducted for this project. The primary information was gathered through the use of a standardised questionnaire. Therefore, the tests of regression and analysis of variance (ANOVA) were utilised to explain the connection between the independent factors and the dependent variables. This research found that there is a significant connection between camera sensors, crowd-sourced content, surveillance uses, the probability of incorporating necessary computer vision, network video analytics (NVA), and cloud-based surveillance systems. The findings of this study were presented in the form of findings.