Waste Management poses a big challenge in front of many Municipalities. The fixed routes and schedules of garbage collection are not that efficient. The monitoring of dustbins is also difficult since the number of such is large. Inclusion of Internet of Things and Machine Learning helps in improving the efficiency and makes the work easier for authorities. A lot of work has been done in this field and this article presents the various approaches used by various fellow researchers. The main contribution of this article is that it puts forward an architecture that can be used in the future. This study will help the researchers who want to quickly look at the work done till now in this field and investigate what can be done further.
This paper aims at providing solutions that would improve safety and riding experience. To ensure that the rider uses a helmet, the bike wont start unless the rider is wearing the helmet. The paper also proposes a solution to get the live location of the rider as well as using this location to disable the horn in no honking zones. With the help of different sensors mounted on the bike and helmet, the proposed system can detect an accident and inform emergency contact numbers. To further improve the efficiency of the entire system, solar power can be used.
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