Abstract: Various embodiments of the present technology relate to systems and methods to determine fill levels in a fuel extraction and storage environment. In some examples, a system comprises a thermal imaging device, a machine learning interface, and a machine learning engine. The thermal imaging device generates a thermal image that depicts fuel storage equipment. The machine learning interface generates feature vectors based on the thermal image that depicts the fuel storage equipment and feeds the feature vectors to a machine learning engine. The machine learning engine ingests the feature vectors, generates a machine learning output that indicates a fill level for the fuel storage equipment based on the feature vectors, and transfers the machine learning output.

Abstract: Various embodiments of the present technology relate to systems and methods to determine fill levels in a fuel extraction and storage environment. In some examples, a system comprises a thermal imaging device, a machine learning interface, and a machine learning engine. The thermal imaging device generates a thermal image that depicts fuel storage equipment. The machine learning interface generates feature vectors based on the thermal image that depicts the fuel storage equipment and feeds the feature vectors to a machine learning engine. The machine learning engine ingests the feature vectors, generates a machine learning output that indicates a fill level for the fuel storage equipment based on the feature vectors, and transfers the machine learning output.