This study aimed to investigate the spatial distance between transmittion and receiver coils in order to improve the efficiency of wireless power transmission for electric vehicles (EVs). The research was conducted in a simulated environment to carefully assess the importance of distance in achieving optimal charging. The employed methodology focused on utilizing stereo vision, wherein the Region of Interest (ROI) was discerned and subsequently separated from pairs of stereo images. The process of segmentation played a crucial role in narrowing down the computer analysis to only the essential regions of the images, rather than considering the full image as a whole. The study successfully achieved a constant and precise distance estimation by utilizing modern stereo vision algorithms as the principal measuring method. The empirical results highlight the accuracy of the technique, demonstrating an average discrepancy of fewer than 8 points between the predicted and observed coil distances. Significantly, this level of accuracy remained consistent regardless of the various points of interest present in both sets of images. The research makes a significant contribution by introducing a computationally efficient and reliable way to aligning coils in electric vehicle wireless charging infrastructures. The little difference observed between the estimated and actual lengths demonstrates the strength of the methodology. However, it is important to note that the study was conducted in a simulated environment, which may provide limitations when applying the findings to real-world scenarios. Therefore, additional research is needed to address these possible issues.