The aim of this thesis was to develop a web application for detecting molded threads of a heated snowboard using a thermographic camera in the SICK AppStudio environment, which uses the Lua programming language on the SICK SIM4000 industrial computer. In the beginning, the areas of computer vision and thermographic cameras are described and presented. In the following chapter we presented the equipment we worked on and the associated technologies we used. We continued with the description of the implementation of two algorithms we used for detecting threads: blob detection and Circle Hough Transform then compared the results. In addition, we created a database based on the REST architecture using Node.js and MongoDB technologies, where data from all measurements are stored. We concluded our work with concluding remarks, which also highlight possible improvements and the basis for further development.