Recognition of train hydraulic brake oil level and reservoir water level based on FCOS and HSV algorithm

With the continuous development of economy and the improvement of scientific and technological level, computer image processing technology has developed greatly in recent years, and is widely used in various industries. Image processing technology plays a supervisory role in environmental pollution and ecological damage to a great extent, making efficient use of resources and promoting the implementation of sustainable development policies. Our project is about how to realize the automatic recognition of train hydraulic brake oil level reading. In this regard, we propose a model algorithm based on FCOS and HSV algorithm. In addition, based on this model algorithm, we applied it to the reservoir water level recognition, meanwhile, realized the reservoir water level recognition algorithm. Automatic recognition technology replaces people’s inefficient and high-risk work, which plays a great role in promoting sustainable development.