This study presents a case analysis on plagiarism detection in university assignments using custom-developed programming code, specifically tailored for the subject of Graphic Expression in Engineering, as presented by students in the Robotics Degree at the University of Santiago de Compostela (USC). The main objective of this research is to evaluate a proprietary software tool designed to identify significant similarities in computerized drawing files specifically DWG formats, commonly used by students to submit their computer aided design works. To conduct the study, works submitted during the 2023/2024 academic year were analyzed using an algorithm that compares graphic elements and metadata. This tool does not only search for exact matches but is also capable of detecting minor modifications made in the designs to circumvent plagiarism detection. The analysis performed with the trial version of the developed software demonstrated a marginally superior capability in detecting academic fraud when compared to manual review by a teacher. However, a significant distinctive aspect is the time savings achieved using the software. Whereas manual review requires approximately 5–6 h per task, the software can detect fraud in less than 3 min. The results indicate that the preliminary version of this software is effective in identifying non-original works, thus providing educators with a robust tool to ensure academic integrity. Moreover, the program allows exporting results in various formats, thereby facilitating the review and decision-making process by educators.