This study presents the development and evaluation of a real-time 3D scanner system that combines active triangulation and time of flight sensor technologies. The aim of this research is to design a robust and efficient system capable of capturing accurate 3D models of objects. The proposed system utilizes active triangulation, which involves projecting structured light patterns onto the target and capturing the reflected patterns using a camera. Additionally, a time of flight (TOF) sensor is incorporated to measure the time it takes for light to travel to the target and back, enabling depth information to be obtained. The implementation of the system involves the integration of hardware components, calibration procedures, and software algorithms. The hardware setup includes a high-resolution camera, laser projectors, and a TOF sensor. Calibration techniques are employed to establish accurate correspondence between the camera, projectors, and the TOF sensor. Various computational algorithms, such as point cloud registration and surface reconstruction, are employed to process the acquired data and generate a complete 3D model. The performance evaluation of the developed system includes tests on different objects and scenes with varying levels of complexity. The results demonstrate the system's ability to capture detailed 3D models in real-time, with high accuracy and resolution. The system proves to be robust against environmental factors such as ambient lighting and object reflectivity. The findings of this study contribute to the field of 3D scanning by presenting a practical and efficient approach for real-time 3D model acquisition. The developed system has potential applications in any field of research and industry that can utilize fast and accurate 3D scanning.