This paper presents the design and construction of a prototype industrial computed tomography (CT) system, along with an initial performance evaluation. The proposed system enables advanced imaging capabilities, offering high spatial resolution three-dimensional images of various industrial components. The prototype consists of three main elements: 1) an X-ray source that generates the required high-penetration radiation, 2) a flat panel detection system that captures the X-rays and converts them into images, and 3) a powerful data processing unit that analyzes the acquired data. To evaluate the system's performance, a series of experiments were conducted using specially designed phantoms. The goal of these experiments was to assess the image quality and overall reliability of the system. The results from these evaluations demonstrated that the system was capable of achieving a spatial resolution of 2 mm, indicating its high imaging accuracy. In the next phase, a contrast phantom was created to examine the system's ability to differentiate materials with varying densities. The images of cross-sectional slices of the object were reconstructed using the MLEM algorithm. The results showed that the system successfully distinguished between materials with different densities, such as air, steel, and mercury. During the experiments, images of the phantoms were acquired at various voltages and currents, allowing for a comprehensive comparison of the images and their dependency on these parameters. The results revealed that the prototype system has significant potential for use in a variety of industrial environments. It can be particularly beneficial in applications such as quality control, non-destructive testing, and maintenance methods, which are crucial for ensuring the integrity and performance of industrial components. Future research will focus on optimizing the system for specific industrial applications, and integrating additional features to enhance its overall performance. These improvements will expand the system's applicability and further solidify its role in industrial environments.