Recently, with the improvement of computing power in mobile devices and the development of augmented reality (AR) technology, there has been growing interest in using image recognition for information retrieval and navigation. By using AR technology, systems that merge the real world and virtual space based on camera images and sensor data can provide users with intuitive information. However, many conventional systems require the installation of AR markers or beacons for their implementation and operation. It is important to design a highly versatile system with that does not require additional hardware or the preparation of special environments. In this paper, we propose an AR overlay display system with video synchronization. The proposed system compares camera images from Android devices with images registered in advance on a server created with FastAPI in real-time. In addition, this system can be easily operated within a server environment using devices in the same network, without the need for dedicated equipment or special environments. An evaluation of the proposed method showed that as the number of registered images increased, the amount of matching processing also increased and the execution time became longer. Furthermore, the system’s recognition rate was 100% for images taken by a mobile device at angles between \(0^\circ \) and \(30^\circ \) , and images could be recognized by the system’s terminal at an average occlusion rate of 65% of the entire image.