Fluid Penetrant Inspection relies so much on the cognitive, skill, and attitudinal aspects of human performance that the risks of process failure are very high. Previous studies were focused on identifying risks in Fluid Penetration Inspection, but none explicitly focused on the Human Reliability Analysis. The purpose of this paper is to use the CAPEMO (Causal Model for Probabilistic risk analysis in Manufacturing Operation) to conduct a probabilistic analysis of the chances of a human error during the inspection process. An in-depth literature review was conducted to identify risk factors and validate by specialists. Bayesian Network was utilized to assess the risk factors that contributed to the pivotal event. Goal-Tree Success-Tree was used to define additional barriers to the Non-Destructive Testing process. As result, this study confirmed that implementing systematic barriers to mitigate risks of human errors significantly reduced the probability of such Risk. Actions proposed to mitigate the risks caused by human factors are connected to Environment Control, Organization Factors, Skills & Capacity. The proposed method has been proved to be adequate to reduce the probability of an Operator failure and can be used in practice to identify the Risk of human errors that can impact the results of the Non-Destructive Testing inspection.