Automatic Recognition System Of Diamond NV Color Center Based On Convolution Neural Network

Due to its high fluorescence intensity and good stability,its electron spin coherence time is long,and it can be optically excited and microwave controlled,the NitrogenVacancy color center(NV color center)is widely applied to the field of quantum technology.On the quantum control platform based on diamond NV color center,quickly and accurately identifying and locating the position of the color center has a key impact on future experiments.In the current experimental platform,it relies mainly on the experience of the experimenter to judge the position of the diamond NV color center,and then confirms whether it is the NV color center by means of the Optical Detection Magnetic Resonance(ODMR)method,but it is inevitable the presence of noise,manual recognition of the diamond NV color center is often misidentified,and it is impossible to identify all available NV color centers.In order to detect diamond NV color center more accurately,this paper treats the recognition of NV color center as the target detection problem.We have investigated various types of detection methods that have been in existence,and found that the target detection method based on Convolutional Neural Network(CNN)has advantages in detection efficiency and speed.Therefore,this design proposes an automatic identification system based on convolutional neural network for the identification of diamond NV color center.In the system design process,this paper focuses on solving the problems that the diamond fluorescence count is susceptible to noise interference,the NV color center target scale is small,and the number of NV color centers to be detected is large.Compared with manual recognition,the framework not only reduces the misrecognition rate of the NV color center target,but also greatly improves the recall rate of the target,and provides multiple NV color center targets with accurate positioning for subsequent experiments.