Abstract: This review paper provides a comprehensive analysis of automatic wheel alignment detectors, emphasizing their principles, advancements, and applications. It discusses the limitations of traditional methods and the need for automated systems. The paper categorizes detectors based on technologies used (optical, laser, and sensor-based) and examines their working principles, advantages, and limitations. Additionally, it explores the integration of AI and machine learning in automatic wheel alignment detectors. The paper highlights the benefits of these detectors, including reduced manual labor and improved accuracy, while also addressing challenges like cost and compatibility. Overall, it serves as a valuable resource for researchers and practitioners in the field

| DOI: 10.17148/IJIREEICE.2023.11709