Pesticide residues have long been a significant aspect of food safety, which has always been a major social concern. This study presents research and analysis on the identification of pesticide residue fast detection cards based on the enzyme inhibition approach. In this study, image recognition technology is used to extract the color information RGB eigenvalues from the detection results of the quick detection card, and four regression models are established to quantitatively predict the pesticide residue concentration indicated by the quick detection card using RGB eigenvalues. The four regression models are linear regression model, quadratic polynomial regression model, exponential regression model and RBF neural network model. Through study and comparison, it has been shown that the exponential regression model is superior at predicting the pesticide residue concentration indicated by the rapid detection card. The correlation value is 0.900, and the root mean square error is 0.106. There will be no negative prediction value when the expected concentration is near to 0. This gives a novel concept and data support for the development of image recognition equipment for pesticide residue fast detection cards based on the enzyme inhibition approach.

In this paper, a novel method for hulls three-dimensional angle measurement is presented. For the measurement of the transverse twist angle, a method based on moiré fringe is proposed, for the lengthways flexibility and course flexibility angle the conventional optical sensor method is applied. The principle of the measurement is discussed in detail. To verify the accuracy of the proposed method, both static and dynamic experiments are carried out. Results show that in the static states, the accuracy for them are smaller than 5'', in the dynamic states, the accuracy for them are smaller than 10''.

A new real-time measuring system based on video image is developed in this paper. By using the self-collimating collimator, the reflex light-tube and other devices installed on deck, the bi-dimensional dynamic distortion can be achieved by the video interpretation system. The video interpretation system incepts two video signals coming from two CCD of photoelectric self-collimation parallel optic equipment. Real-time video image processing and interpretation, as well as dynamic miss distance are achieved by using concurrent working mode, and the relative distortion of vessel can be obtained by combining the two measurement results.

A new video image interpretation technology applied mainly to the angular distortion measuring system of navy vessel is developed in this paper. The video interpretation system incepts two video signals coming from two CCD of photoelectric self-collimation parallel optic equipment. Real-time video image processing and interpretation, as well as dynamic miss distance are achieved by using concurrent working mode, and the relatively distortion of vessel can be obtained by combining the two measurement results.