Welcome to the SMART AI-BASE PLASTIC SORTING ROBOT project — an innovative robotic system designed to revolutionize plastic waste management by combining artificial intelligence, IoT, and robotics. This project aims to automate the process of plastic sorting and environmental monitoring to promote efficient recycling and reduce manual labor.
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For a live demonstration, detailed project documentation, and to explore related resources, visit my website:
The Smart Plastic Separation Car integrates multiple technologies to create an autonomous and intelligent waste management system. At its core, it uses an ESP32-CAM module paired with advanced machine learning algorithms to detect and classify plastics into dry and wet categories with high accuracy. The system is equipped with a 6-DOF (Degrees of Freedom) robotic arm controlled via servo motors that physically sorts plastics based on the AI classification.
Environmental sensors such as soil moisture, temperature, and ultrasonic sensors monitor the surrounding conditions and garbage bin status, enabling adaptive responses and real-time alerts. This data is streamed through IoT protocols to a web dashboard, allowing users to monitor system performance remotely.
The system’s vehicle base is designed for autonomous navigation within controlled environments, improving the reach and efficiency of plastic collection. The combination of sensor feedback, AI vision, and robotic control provides a scalable and sustainable approach to plastic waste management.
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| 🌡️ BLUETOOTH CONTROLLED CAR BLUETOOTH-CONTROLLED, SELF-SORTING SMART CAR! |
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| 🦾 4-DOF-ROBOTICS-ARM-AUTOMATIONS CONTROLLED VIA BLUETOOTH, THE ARM PRECISELY PICKS AND SEPARATES PLASTICS INTO DESIGNATED CONTAINERS. |
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| 🤖 AI PLASTICS DETECTIONS DISCOVER OUR CUTTING-EDGE CAMERA SYSTEMS WITH UNPARALLELED RESOLUTION AND LOW-LIGHT PERFORMANCE FOR PROFESSIONAL APPLICATIONS. |
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| 🦾 DRY & WET SEPERATIONS SYSTEMS SOIL MOISTURE SENSORS DETECT WET PLASTICS, ENSURING PERFECT SORTING FOR RECYCLING. |
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| 📱 BLYNK IOT INTEGRATIONS TRASONIC SENSORS + DHT11 MONITOR FILL LEVELS AND ENVIRONMENTAL CONDITIONS, SENDING DATA VIA IOT. |
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- ARDUINO NANO MICROCONTROLLER MODULE - 1 piece
- TT GEAR MOTORS (250 RPM) - 4 pieces
- PLASTICS-WHEELS - 4 piece
- HC05-BLUETOOTH MODULE - 1 piece
- L298N MOTOR DRIVER - 1 pieces
- YELLOW LED (FRONT-LED) - 4 piece
- RED LED (BACK-LED) - 4 piece
- 5 VOLT BUZZER (HORN) - 1 piece
- 3.7 VOLT LION BATTERY - 3 piece
- BATTERY HOLDER - 1 piece
- USB CABLE - 1 piece
- JUMPER WIRES
- MALE TO MALE
- MALE TO FEMALE
- FEMALE TO FEMALE
- CARDBOARD & PAINTS
- CIRCUIT DIAGRAM & CODE AVAILABLE IN OUR SITE :-SMART-SEP
- MOBILE APP:- ARDUINO CAR
- ESP32 CAM MODULE - 1 piece
- FTDI - 1 pieces
- OLED DISPLAY - 1 pieces
- 3.7 VOLT LION BATTERY - 2 piece
- BATTERY HOLDER - 1 piece
- USB CABLE - 1 piece
- JUMPER WIRES
- MALE TO MALE
- MALE TO FEMALE
- FEMALE TO FEMALE
- CIRCUIT DIAGRAM & CODE AAVAILABLE IN OUR SITE :-SMART-SEP
- Robotic Arm - 3D PRINTED
- MG90S SERVO MOTOR - 1 piece
- SG90S SERVO MOTOR - 3 piece
- HC05-BLUETOOTH MODULE - 1 piece
- 3.7 VOLT LION BATTERY - 2 piece
- BATTERY HOLDER - 1 piece
- USB CABLE - 1 piece
- JUMPER WIRES
- MALE TO MALE
- MALE TO FEMALE
- FEMALE TO FEMALE
- CIRCUIT DIAGRAM & CODE AVAILABLE IN OUR SITE :-SMART-SEP
- MOBILE APP:- ARDUINO SERVO CONTROLLER
- ESP32 MICROCONTROLLER MODULE - 1 piece
- HC-SR04 ULTRASONIC SENSORS - 2 piece
- DHT11 TEMP & HUMIDITY SENSORS - 1 piece
- 3.7 VOLT LION BATTERY - 1 piece
- BATTERY HOLDER - 1 piece
- USB CABLE - 1 piece
- JUMPER WIRES
- MALE TO MALE
- MALE TO FEMALE
- FEMALE TO FEMALE
- CIRCUIT DIAGRAM & CODE AVAILABLE IN OUR SITE :-SMART-SEP
- MOBILE APP:- BLYNK IOT
- ARDUINO NANO MICROCONTROLLER MODULE - 1 piece
- HC-SR04 ULTRASONIC SENSORS - 1 piece
- 16*2 LCD WITH I2C - 1 piece
- SG90S SERVO MOTOR - 1 piece
- SOIL MOISTURE SENSORS - 1 piece
- BLUE LED (DRY-GARBAGE) - 1 piece
- GREEN LED (WET-GARBAGE) - 1 piece
- 5 VOLT BUZZER (HORN) - 1 piece
- 3.7 VOLT LION BATTERY - 2 piece
- BATTERY HOLDER - 1 piece
- USB CABLE - 1 piece
- JUMPER WIRES
- MALE TO MALE
- MALE TO FEMALE
- FEMALE TO FEMALE
- CARDBOARD & PAINTS
- CIRCUIT DIAGRAM & CODE AVAILABLE IN OUR SITE :-SMART-SEP
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To effectively operate the Smart Plastic Separation Car, follow these steps:
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Power On and Initialization: Turn on the system. The ESP32-CAM, sensors, and robotic arm will perform self-checks and calibrate for operation.
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System Monitoring: Access the web dashboard via your preferred browser to monitor live sensor readings, including environmental data and plastic detection outputs.
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Start Operations: Use the dashboard controls to start the vehicle’s navigation and activate the robotic arm’s sorting function. You can pause or stop operations as needed.
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Audio & Volume Settings: Adjust audio feedback through the dashboard controls for notifications or alerts during operation.
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Real-Time Interaction: Observe live updates and performance metrics to ensure the system is functioning optimally. Use manual overrides through the UI when necessary.
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Maintenance: Periodically check sensors and actuators for maintenance or recalibration to sustain accuracy and reliability.
The Smart Plastic Separation Car delivers impressive results in both accuracy and operational efficiency:
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High Classification Accuracy: Achieved an average of 90% accuracy in distinguishing between dry and wet plastics across various lighting and environmental conditions.
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Improved Sorting Reliability: Real-time environmental monitoring data allows the system to adapt sorting strategies, reducing misclassification and enhancing throughput.
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Reduction in Manual Labor: The robotic arm automation has reduced human intervention in the sorting process by approximately 75%, promoting safer and more efficient waste handling.
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Robust System Responsiveness: Bluetooth and IoT integration ensure that commands and status updates are transmitted reliably with minimal latency.
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User Engagement: The interactive web dashboard and audio feedback provide an intuitive interface that increases user control and awareness.
The Smart Plastic Separation Car is continuously evolving. Upcoming enhancements include:
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GPS Module Integration: Adding GPS support to enable real-time tracking, path mapping, and dynamic route planning for autonomous waste collection.
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Expanded Material Classification: Training the system to detect and separate not just plastics, but also metals, enabling broader recycling capabilities.
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Smart Obstacle Avoidance: Incorporating LIDAR or enhanced ultrasonic sensing for intelligent navigation in unpredictable environments.
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Cloud Integration: Pushing real-time data to cloud platforms for centralized monitoring and large-scale deployment insights.
- ✅ Commercial use
- ✅ Modification
- ✅ Distribution
- ✅ Private use
- ❌ Liability
- ❌ Warranty
Made with ❤️ by SUMIT PAL
🌟 Let's Connect
I'm passionate about collaborating on innovative projects and sharing knowledge about coding, design, robotics, and AI. Let's build something amazing together!
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