Computer vision is a crucial technology within the scope of Industry 4.0. Through the combination of cameras with hardware and specific algorithms for image processing, a wide range of possible solutions and applications help industries with the automation of quality inspections, object identification, process control, and dimensional measurements. This technology is constantly evolving, and new solutions emerge mainly to reduce downtime, maximise effective production, and guarantee product quality. This paper proposes an innovative solution based on machine vision technologies to increase efficiency and reduce waste, such as the generation of defects, the unnecessary use of raw materials, and the need to monitor the operation of cutting and creasing carton packs constantly. The solution, through the installation of two sets of cameras, has as its primary objective to monitor and measure in all packages two of the main variables of the process, correlating them and sending the result to the central control system of the machine. According to the measurement, it will automatically and in real-time correct the process parameters that today are done through sample measurements and corrected from time to time by the operator, creating a high dependence on human interaction. The results exceeded expectations, making it a global project that helped the whole corporation, increasing profitability and optimising process resources to a level never achieved.