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HVS-3556. AI based Automatic Waste segregation Metal, Plastic, Food and Non-FOOD Items
HVS-3556. AI based Automatic Waste segregation Metal, Plastic, Food and Non-FOOD Items
HVS-3556. AI based Automatic Waste segregation Metal, Plastic, Food and Non-FOOD Items
HVS-3556. AI based Automatic Waste segregation Metal, Plastic, Food and Non-FOOD Items
HVS-3556. AI based Automatic Waste segregation Metal, Plastic, Food and Non-FOOD Items

HVS-3556. AI based Automatic Waste segregation Metal, Plastic, Food and Non-FOOD Items

₹34,000.00

The main aim of the project is to design a machine which can manage waste and sort it into different categories. This machine can segregate four types of waste (metal, plastic, food and nonfood) using sensors and artificial intelligence (AI). This machine consists of conveyor belt for moving the objects(waste). IR proximity sensors, which can detect the objects on belt and which is connected to the Arduino. Based on the proximity sensor output, belt moves only when the objects are on the belt controlled by Arduino using DC motor. This system consists of METAL SENSOR to detect the metal waste. Based on sensor output Arduino will segregate the metal waste using solenoid valve is used to push the metal waste into the right bin accordingly.

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The main aim of the project is to design a machine which can manage waste and sort it into different categories. This machine can segregate four types of waste (metal, plastic, food and nonfood) using sensors and artificial intelligence (AI). This machine consists of conveyor belt for moving the objects(waste). IR proximity sensors, which can detect the objects on belt and which is connected to the Arduino. Based on the proximity sensor output, belt moves only when the objects are on the belt controlled by Arduino using DC motor. This system consists of METAL SENSOR to detect the metal waste. Based on sensor output Arduino will segregate the metal waste using solenoid valve is used to push the metal waste into the right bin accordingly. This system consists of PLASTIC SENSOR to detect the plastic waste. Based on sensor output Arduino will segregate the plastic waste using solenoid valve is used to push the plastic waste into the right bin accordingly. Here relay works as a switch to ON/OFF the solenoid valve. After separation of metal and plastic waste, this system can detect the food/nonfood items from remaining waste using Pi camera and raspberry pi and also it can drop the right bin accordingly with the help of servo motor. In this project we are using CNN (Convolutional Neural Network) and Tensor Flow to classify the food/nonfood items. The entire project will run on solar power.

 

The objectives of the project include:
  • Design a waste management system to segregate four types of waste which can run with solar power.
  • IR sensor-based object detection.
  • Capacitive Sensors based metal and plastic object separation.
  • Pi camera and raspberry pi-based food/non-food objects separation.
  • AI based food/non-food items detection.
  • To achieve this task using Arduino and raspberry pi.
    The major building blocks of this project are:
  • Solar panel.
  • Charging circuit.
  • Rechargeable battery.
  • Raspberry pi.
  • Arduino UNO.
  • Pi camera.
  • DC motors with conveyor belt.
  • Relays.
  • Solenoid valves.
  • Two Capacitive proximity sensors.
  • Metal sensor.
  • Plastic sensor.
  • Pi Camera.
  • SD card.
  • Servo motor.
    Software’s used:
  • Arduino ide studio for embedded C language.
  • Python language.
  • Raspbian OS.
  • AI using CNN(Convolutional Neural Network) and Tensor Flow.
       

Block diagram:  

video:

 

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