Using a value-added and non-value-added analysis, the authors of this paper apply the lean concept to the industrial sector's inspection procedure. An essential aspect of this procedure is transporting the component from one cell to another, then back again after inspection. Based on these observations, we were able to break the procedure down into manageable chunks. Descriptive research and quantitative methods were used in this investigation. The primary data was collected via a questionnaire with set questions. This prompted the employment of Regression and Analysis of Variance tests to shed light on the connection between the explanatory variables and the dependent ones. The study found that a cloudbased surveillance system's camera sensor, crowd-supported content, surveillance applications, probability of incorporating essential computer vision, and network video analytics (NVA) all had significant relationships with one another.