ARTIFICIAL INTELLIGENCE IN WASTE MANAGEMENT SYSTEM

In this we imported a libraries and uploaded waste images to the drive for identify the wastes
In this pooling layer and activation function working
It choose image path from the drive and predict the dimensions and it shows the accuracy
In this , it finally identify the bio degradable waste and Non bio degradable waste

In India we are majorly facing Many problems. In that one of the main problems is waste products are difficult to separate. Recycling is a easy task but now a days wastes are going high and slightly difficult to separate the bio degradable and non-bio degradable waste. In this we used to plan to separate the waste using Artificial Intelligence Algorithm. Artificial intelligence is going to be a trendy one so we can use this method to separate the waste. By using supervised machine learning and deep learning we separate the wastes into cardboard, glass, metal, trash, paper and plastic. We can collect a data as an image and we kept the all images into the folder and then we convert the images and stored in a form of 1D array for labelling and testing. By using Convolutional Neural Networks the input images are sampled and then convolved to determine the edges in the images. Pooling is done iteratively to reduce the dimensions of the given input image. Further, on application of activation function the output image is successfully obtained. thus completely removing human working in the separation stage. By using this method we can separate an bio degradable and non-biodegradable waste and then we can finally separate the biodegradable waste by using machine intelligence . In now a days world, garbage disposal has become a cause of major concern and pollutions. An astounding amount of 0.1 million tons of waste is generated each day in our country. Unfortunately, only 5% of this colossal amount of waste is recycled and reused. The huge amount of waste that is generated gets disposed by means which have an adverse effect on the environment due to improper waste management. Several advancements in technology has made now days and we can make it possible to convert waste items into useful sources of energy by using technology. For reusing the waste items into source energy we need to carefully separate the bio degradable and non bio degradable waste . The many numbers of ways have been proposed to solve this challenge; We use new concept Artificial intelligence method to separate the bio degradable waste and non bio degradable waste by using deep learning and neural networks . we can train our model by using images. The waste segregation is carried out largely with the help of manual workers for this we can use this algorithm. The efficiency of manual segregation is low in now a days. The chances of a waste material being incorrectly classified are high due to human error ,they slightly or may be went wrong. Along with that, the workers are subjected to the risk of infection and diseases like cholera or diarrhoea which are very common in such working conditions . In, waste segregation using deep learning is proposed for faster and cleaner working in today world. It involves acquiring images from the camera or given data with detection, object recognition, prediction and classification into categories as biodegradable and non-biodegradable waste.