Street Cleanliness Monitoring System using Deep Learning
Anirudh Ghildiyal, Sachin Sharma, Ayush Kumar A., Apoorv Apoorv · 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) · 2021
Street cleanliness is a major concern for any country. It gives an idea of the country's well-being to its tourists and individuals in general. One of the major causes of illnesses in a city is typically the lack of cleanliness in the streets. In many ways, artificial intelligence today shapes society. The current artificial intelligence technologies investigation can regulate this street cleanliness problem. The street-clean dataset developed containing photos from the web. The images in the dataset are divided into three classes that can classify a model (good, average, and poor). The model produced more than 90% accuracy. Everyone in our society is concerned about the cleanliness of their buildings, whether it is their home or their workplace, but no one cares about working outside of the clean environment. The dirty surroundings are home may cause many virus diseases.