Smart IoT-Based Used Cooking Oil Sorting and Reward System with LDR-Based Grading Using Raspberry Pi 3 and Arduino Mega 2560
Specifications
- Code
- SA2613
- Department
- DKS
- Technology
- Raspberry Pi · Arduino Mega 2560 · LDR
- Theme
- Smart Environment
- Student
- Nur Durrotun Nasihah binti Mohd Fuad
- Supervisor
- Mohd Radzi bin Tarmizi
Objectives
To develop a smart IoT-based used cooking oil sorting and reward system using Raspberry Pi 3 To design and calibrate an LDR-based grading method using LED light transmission to classify used cooking oil into Grade A, Grade B and Grade To integrate the grading result with the sorting mechanism, database logging and reward point
Scope of project
This project focuses on developing a functional prototype for used cooking oil grading, sorting, data logging and reward point The used cooking oil detection and grading are based on LDR sensor readings obtained from LED light transmission through the The grading process is limited to three categories only, which are The system sorts the oil bottle into the corresponding Grade A, Grade B or Grade C bin based on the detected grading result. The prototype uses clear bottles with a capacity of approximately The system requires an internet connection for online database logging and user account-based reward point system operation. The prototype requires an external 240 V plug-in power supply to ensure stable system operation.
Project description
UCollect is a self-service kiosk that turns used cooking Level 1: insertion door + kiosk Smart Grading: an LED and an LDR measure how UCO bottle scanned here (LED–LDR) much light passes through the bottle, and the server classifies the oil as Grade A, B or C. Automatic Sorting: servo-operated doors guide Level 2: sorting level + electronics each bottle to the matching bin of a three-level IoT Rewards: users scan a QR code and sign in with Google. An Arduino Mega 2560 and a Raspberry Pi 3 work with a PHP/MySQL web application, and points are credited only after a second scan verifies the Level 3: ramp to collection bins In two trial runs (five readings per sample), all 40 Collection door on right of body readings fell in the correct range. Grades are optical categories, not food-safety certificates.