Image Recognition Model for Preventing Power Operation from Incorrect Intervals Based on Machine Vision
An image recognition model based on machine vision is constructed to prevent power operation from incorrect inter-vals,it can effectively identify power operation signs,and reduce mis-operation accidents caused by operators'incorrect inter-vals.Through machine vision technology,an image recognition model for preventing incorrect intervals in power operation is built,and image scanning and feature extraction are implemented for the sign image of preventing incorrect intervals based on GoogLeNet structure.The projection method is used to obtain two sub images with only one line of characters through the hor-izontal segmentation of the sign image,and then the single character of the sub image is obtained by segmenting the single line of characters one by one.The target recognition method based on SIFT transform is used to recognize the characters in the seg-mented signboard image,so as to prevent operators from entering the non-working area by mistakes.The experimental results show that the model can clearly and accurately extract the image features of the spacing signs to prevent incorrect intervals,and can effectively avoid the impact of external factors such as scale transformation,wear,stains and others,the accuracy and effi-ciency of image recognition can be guaranteed.
万方数据
维普
