The increasing population, rapid growth of
industries and urbanization have led to the daily
generation of a humongous amount of waste, which may
cause fatal diseases in living beings and also cause
pollution. Hence the collection and segregation of
garbage is a major issue faced by the cities. The
segregation of waste at junk yards is mundane and
laborious which consumes a lot of time and labor. To
prevent this, we propose a system to segregate garbage
at the domestic level based on the nature of the waste.
The proposed model is a microprocessor-based IoT
device where the bins are embedded with sensors that
help in identifying the type of waste. The garbage is
segregated using a robotic arm that uses object detection
through Image processing to pick and place the garbage
into their respective dust bins, then using the ultrasonic
sensors the garbage level is monitored and updates the
data in the cloud using Blynk IoT application. The main
objective of our model is to provide an efficient and costeffective solution for the current problem in waste
management i.e., proper segregation of the garbage.
Keywords :
Pollution; Segregation; Microprocessor; Iot; Sensors; Robotic Arm