The project presents low cost and flexible waste segregation and monitoring system using an embedded microcontroller. The AWS employs parallel resonant impedence sensing mechanism to identify metallic items and capacitive sensors to distinguish between wet and dry waste. Experimental results show that the segregation of waste into metallic, wet and dry waste has been successfully implemented using the AWS. When the dry, wet or metallic waste reaches the level of the sensor, then the indication will be given to a microcontroller. The microcontroller will sent SMS to the driver of waste collection truck and store information in Amazon cloud using GSM technology.
Keywords: Automated waste segregator (AWS), GSM, SMS