@article{2299,
  author = {X. Zhang},
  title = {Water Quality Turbidity Detection Based on Image Recognition System Design and Implementation},
  journal = {Transactions on Machine Design },
  year = {2017},
  volume = {5},
  number = {2},
  doi = {},
  url = {http://www.dline.info/tmd/fulltext/v5n2/tmdv5n2_2.pdf},
  abstract = {The people who provide importance to environmental protection is becoming more and more high, where the water as the source of life literally become the top priority. Monitoring the turbidity of water is very important, so water quality turbidity detection based on image recognition system design has become a hot research topic. In the study, first it has been carried on the investigation to the current research status; And then the need of the technology and theory in the process of system design are analyzed; Then the theory with practical design improved the water quality turbidity detection based on image recognition system. Finally, the system has carried on the actual experiments, and through the contrast analysis of the experimental results verify the feasibility and advantage of the system. The research results prove that the turbidity of the water quality detection based on image recognition system is more scientific and reasonable than the traditional system.},
}