Highway Asset Tracking for Enhanced Maintenance and Efficiency

Highway asset management and tracking is a critical aspect of transportation infrastructure maintenance and planning. It is a visionary approach to Precise Road Asset Detection and Enumeration is an innovative solution leveraging cutting-edge computer vision and AI technologies to automate asset counting on roadways accurately. By eliminating manual processes, it enhances efficiency, provides real-time data, and empowers authorities with valuable insights for effective infrastructure planning and maintenance. By capturing 360 images of highway assets during construction or installation, transportation agencies can create a comprehensive database of visual records and even the normal images provide a detailed visual representation of the assets, including their condition, configuration, and surrounding environment. Using the deep learning techniques first the pre-processing techniques are applied and then fed to the deep learning algorithms. These deep learning algorithms evaluate the images and give accurate results for asset tracking. By comparing which algorithm is the best for tracking the highway assets such as white stripes, light poles, and traffic signs by utilizing data, technology, and best practices, agencies can make informed decisions, optimize resources, and ensure the long-term sustainability of their highway networks.