In order to study the application effect and function of industrial visual perception technology in smart city, the image processing and quality evaluation system was constructed by using convolutional neural network (CNN) and Internet of things (IoT) technology. The system was simulated, and then the quality performance of image and video obtained by using industrial visual perception technology was processed and analyzed. The results show that in the analysis of image local optimization effect, it is found that the classification performance of all algorithms decreases with the increase of noise, and the performance of local anisotropic mode (LAP) is superior, which has strong robustness to rotation, illumination, and noise. In the analysis of image feature similarity effect, it is found that the chi square distance between Log Gabor features is positively correlated with the degree of image distortion, and the validity of the measurement method is verified. Further analysis of the video processing effect of industrial visual perception technology shows that the video processing effect of test algorithm is significantly better than that of HM16.8 by comparing the distortion performance of the two algorithms with different sequences, with low distortion and significantly improved performance. Therefore, through the research, it is found that the improved CNN algorithm is superior to other algorithms in image and video processing.

为了研究工业视觉感知技术在智慧城市中的应用效果和功能，利用卷积神经网络（CNN）和物联网（IoT）技术构建了图像处理和质量评估系统。对系统进行了仿真，然后对通过工业视觉感知技术获得的图像和视频的质量性能进行了处理和分析。结果表明，在分析图像局部优化效果时，发现所有算法的分类性能都随着噪声的增加而降低，局部各向异性模式（LAP）的性能优越，对旋转具有很强的鲁棒性，照明和噪音。在分析图像特征相似性效果时，发现Log Gabor特征之间的卡方距离与图像畸变程度呈正相关，验证了该方法的有效性。通过对工业视觉感知技术的视频处理效果的进一步分析表明，通过比较两种算法具有不同序列的失真性能，测试算法的视频处理效果明显优于HM16.8，失真率低，性能得到明显提高。 。因此，通过研究，发现改进的CNN算法在图像和视频处理方面优于其他算法。通过对工业视觉感知技术的视频处理效果的进一步分析表明，通过比较两种算法具有不同序列的失真性能，测试算法的视频处理效果明显优于HM16.8，失真率低，性能得到明显提高。 。因此，通过研究，发现改进的CNN算法在图像和视频处理方面优于其他算法。通过对工业视觉感知技术的视频处理效果的进一步分析表明，通过比较两种算法具有不同序列的失真性能，测试算法的视频处理效果明显优于HM16.8，失真率低，性能得到明显提高。 。因此，通过研究，发现改进的CNN算法在图像和视频处理方面优于其他算法。