
Max - The intelligent TrashCan
An autonomous smart trash bin equipped with sensors and microcontroller-based intelligence. Designed to promote touchless waste disposal using Arduino and real-time detection.
Project Overview
Max, The intelligent TrashCan is a smart, mobile trash bin designed during the early academic phase of my studies in Electronics, Information Systems, and AI. The goal was to create a functional prototype of a **contactless trash bin** capable of moving, detecting presence, and reacting to basic environmental stimuli.
Hardware & Functionality
- Mobility: Max moves around autonomously using a basic random walk algorithm.
- Obstacle Avoidance: Equipped with ultrasonic sensors, Max detects nearby obstacles and adjusts its path accordingly.
- Automatic Lid: A PIR motion sensor installed on the lid detects user presence and opens automatically.
- Sound Recognition: A microphone module is used to detect **double hand claps**, triggering the lid to open.
Technologies Used
- Arduino UNO: Main controller handling all sensor inputs and motor actions.
- HC-SR04: Ultrasonic distance sensors for obstacle avoidance.
- PIR Sensor: Motion detection to control the lid opening.
- Sound Module: Simple sound detection for claps (used instead of voice commands).
Highlights
- First Embedded System Project: Applied electronic and logic design principles for the first time on a real-world object.
- Human-Object Interaction: Focused on creating a seamless user experience through gesture and sound.
- Accessible Design: Designed to reduce contact and encourage hygienic behavior.
- Complete Autonomy: The system required no user handling once turned on.
Future Improvements
- Voice Recognition: Upgrade the audio module to recognize basic voice commands.
- Better Navigation: Integrate line tracking or room mapping for smart pathing.
- Battery Efficiency: Optimize movement and sensor polling for longer autonomy.
- Aesthetic Housing: Develop a polished shell for public or home environments.
Conclusion
Max was a fun, hands-on introduction to embedded systems and smart objects. It demonstrated how microcontrollers, sensors, and a bit of creativity can transform a simple object like a trash bin into a responsive, intelligent assistant — laying the groundwork for more advanced IoT applications.