Implementing hand recognition solutions to control intelligent lighting in office

Solutions obtained through multi-system approaches, ranging from simple models to detailed frameworks and from internet-enabled tools to integrated electronic structures, reflect advances in communication technologies. The primary objective of the research is to integrate the MediaPipe framework into office environments. An approach to more efficiently utilizing office-like environments has been presented using Mediapipe, an AI-based tool. The fundamental premise of this approach is that factors such as ambient light intensity and distance from the camera play a critical role in traditional image processing methods, making control processes difficult and, in some cases, impossible. Office environments are being transformed into smart systems through MediaPipe-based methods, enabling light and sound levels to be controlled with hand gestures. The proposed approach aims to increase the functionality of offices and support user productivity, while also offering a multidisciplinary perspective by integrating AI-based recognition solutions with lighting systems and image processing algorithms.