Algorithm of video file recognition for digitization of analog indicator oscillations on the example of GNU-KV quartz gravimeter

Background. The advancement of geological and geophysical research leverages modern technology to enhance the analysis of instrumental data, particularly focusing on long-wave components of potential fields. This includes studies on temporal gravity variations, which are crucial for understanding the Earth’s kinematics and dynamics, including processes related to earthquakes and volcanism. These variations serve as precursors to such geodynamic events, aiding in the development of predictive models. Aim. This study explores the use of video technology to enhance the digitization and analysis of gravity field variations using the GNU-KV quartz gravimeter. Materials and methods . The research employed a GNU-KV gravimeter coupled with a specialized video camera. Data captured by this setup were processed using an innovative video recognition algorithm designed for precise and reliable measurement of gravity variations. Results . The integration of the video camera with the gravimeter facilitated precise digitization of the indicator oscillations. The video recognition algorithm enabled detailed analysis of the gravity variations, improving the accuracy of the results. Conclusion . Incorporating video technology into gravimetric studies significantly enhances the ability to analyze geological processes, broadening the scope and depth of research in geophysical studies.