Orthoses are orthopedic devices that restore function to a specific area of the locomotor system of the human body that has been rendered inoperative by trauma, injury, or congenital disease. The process of making orthoses is labor-intensive, expensive in terms of materials, time-consuming, and frequently necessitates the use of specialized tools. This is particularly true for the traditional, manual procedure of creating molds for orthoses, which is the method most frequently used. Given the foregoing, there is a need for the creation and implementation of digital solutions, which have recently made it possible for orthoses to be produced at a larger scale. To create personalized orthoses, which include specifying the surface of the body part to which the orthosis will be put and whose function the orthoses will support, digital solutions are required. Also, because the screening area is frequently extensive and demanding for the conventional technique, there is a need for the development of sophisticated digital alternatives. The patient cannot go without an orthosis for an extended period of time, and since the patient must remain completely still and in a forced position during the scan in order to take an impression for the orthosis, this represents a discomfort for the patient and there is a great need for a quick solution. Digital solutions are not well represented, despite the significant need. The reason for this is that digital solutions are still prohibitively expensive, difficult to use, and frequently closed to outside intervention. The main goal of this doctoral thesis is the creation of a digital solution that realizes the optimal implementation of three-dimensional scanning of a body part for the purposes of constructing orthoses and the implementation of three-dimensional measurements that are necessary for calibrating the production system. As part of the work, the development and creation of a digital circuit for the implementation of three-dimensional scanning of the body with the necessary program modules was carried out, as well as the development of hardware modules for the implementation of three-dimensional scanning of the workpiece. In addition to the assembly, a software support system was also developed for all defined modules. After testing the functions of the hardware and software support, comparing the data with the existing solution and testing the orthosis on patients with this proposed procedure and the classic one, it has been concluded that the solution, developed as part of the doctoral thesis, is more advanced than the classic solutions. With the new solution, a quick, non-contact production of personalized orthoses for an individual patient was achieved, and the proposed solution has the potential to improve orthotics as a profession.