Research on Intelligent Trash Bin Design Based on Visual Recognition of Machine

Objective: To help the public solve the problem of garbage classification by means of science and technology, make automatic garbage classification through an intelligent trash bin, realize harmless garbage disposal and reduce pollution, thus facilitating environmental protection.Methods: The type of garbage is determined by visual recognition of a machine to achieve the effect of garbage classification. In terms of visual recognition, feature points of garbage pictures are compared by the combination of hardware and software, the data is trained and optimized with deep learning technology and images are compared based on the VGG16 convolutional neural network model.Result: A simple and small intelligent trash bin is obtained. Conclusion: Theoretical support is provided for the application of intelligent classification trash bins.