Hardware Design Of In Situ Intelligent Target Organism Recognition Towed Underwater Microscope System

Plankton is an important part of the marine life, which plays an important role in regulating in the structure and function of marine ecosystems. Detection of marine plankton is of great significance for the present study of global climate change and the global marine ecological environment change. Therefore, how to achieve accurate and effective detection of the target ocean plankton is an important subject in the marine environment survey and research areas.This thesis analyses the characteristics and needs of marine plankton detection of large area and large amount of data, develops an in situ intelligent target organism recognition towed underwater microscope system using in the image recording of microorganism in the high-speed fluid according to the shortcomings including the lack of online recognition of current underwater plankton detection equipment at home and abroad. The system is able to achieve the Continuous Underway large area detection of the target plankton carried in marine waters. The system uses high precision industrial microscope lens and high-definition CCD image sensor to capture real-time images, uses TMS320DM8127digital media processor to achieve fast-moving target detection, real-time encoding of the image and network transmission, uses TMS320DM368embedded processor to achieve network receiving and video storage in the underwater storage unit.System prototype test and experiment results show that the system is able to intelligently detect fast-moving underwater target creature, real-time acquire and encode high definition video data and store large amounts of HD video data. The system has been undergoing sea trials, the indicators meet the design requirements, and the system has high engineering practical value.