Smart Trashcan: For Pre-Sorting of Waste
Chandrashekhar Raut1, Om Bhagat2, Nikhil Uyyalwar3, Mahesh Jadhao4, Vaishnavi Chokhat5, Tejas Ingle6, Prof. Dipak Charde7
1234567Electrical Engineering Department, 1234567Jagadambha College of Engineering and Technology, Yavatmal-445001, Maharashtra, India
E-Mails : 1chandrashekhar2137@gmail.com, 2ombhagat0000@gmail.com, 3nikhiluyyalwar@gmail.com, 4maheshjadhao2003@gmail.com, 5chokhatvaishnavi1@gmail.com, 6ingletejas92@gmail.com, 7dipakcharde92@gmail.com
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Abstract - Waste output has significantly increased as a result of rapid urbanization and industrialization, endangering the environment and public health. Conventional waste management techniques are labor-intensive, ineffective, and prone to contamination because they mostly rely on manual segregation. According to this study, a smart trashcan with sensor-based technology that automatically detects and separates waste into three categories—dry, wet, and metal—should be developed. To categorize waste types, the device combines moisture (raindrop), infrared (IR), and inductive proximity sensors with an Arduino Uno microcontroller. A servo motor operates a flap mechanism for disposing of garbage, and a stepper motor is used to move the matching bin. A buzzer is used to convey real-time alerts. The design prioritizes minimizing human involvement and encouraging sanitary handling and improving the effectiveness of recycling. According to extensive testing, the Smart Trashcan can sort items in an average of 3.3 seconds and reach a classification accuracy of up to 98.5%. The suggested method has a great deal of potential for usage in homes, public areas, educational institutions, and commercial facilities, supporting more intelligent and sustainable waste management techniques.
Key Words: Smart Trashcan, Waste Segregation, Arduino Uno, Infrared Sensor, Inductive Sensor, Raindrop Sensor, Stepper Motor, Servo Motor, Sustainable Waste Management, Automation
