This document presents a food spoilage detection system that utilizes sensors and data analysis to detect signs of food spoilage in real-time and provide alerts. The system aims to enhance food safety, cut costs by preventing food loss and spoilage, and reduce food waste by leveraging technology like sensors and machine learning. It collects data on indicators of spoilage using sensors for temperature, humidity, and other factors. Machine learning is then used to analyze the data and identify patterns that can provide early detection of spoilage. When spoilage is detected, the system provides real-time alerts to consumers or businesses.

1. Food Spoilage Detection System
Joydeb Basak- 12204078
Kalluri Likhith - 12201433
Presented by :-
Dr. Ankush Manocha
Presented to :-

2. Table of Content
 Introduction
 Objective
 Methodology
 Area of domain
 Conclusion
 References

3. Introduction
 Innovative technology to prevent food spoilage and reduce
waste.
 Utilizes sensors and data analysis to detect signs of food
spoilage.
 Offers real-time alerts, enhancing food safety and sustainability.
 Addresses a critical issue of food waste with environmental
implications.
 Has the potential to transform how we manage and consume
food.

4. Objective
• Enhance Food Safety: Ensure that consumers have access to
safe and fresh food products.
• Cut Costs: Save consumers and businesses money by
preventing food loss and spoilage.
• Utilize Technology: Leverage advanced sensors and data
analysis to detect spoilage in real time.
Reduce Food Waste: Minimize food spoilage and wastage,
contributing to a more sustainable food supply chain.

5. Methodology
o Data Collection: Gather data on food spoilage indicators, such as
temperature, humidity, and shelf life, using appropriate sensors.
o Data Analysis: Employ machine learning and data analytics to
identify patterns and early signs of spoilage.
o Alert System: Develop a real-time alert system to notify
consumers or businesses when spoilage is detected.
o Hardware Integration: Integrate sensors and microcontrollers, like
Arduino, into the project for data collection and analysis.
o Software Development: Create user-friendly interfaces and
applications for consumers and businesses to access spoilage
data.

6. Methodology
 Arduino Board: The central unit for data collection, processing and
alerts.
Temperature Sensor: Measures temperature changes in the food
product. DHT11 / 22 Sensors.
MQ4 METHAN gas Sensor:
2LEDs red and green:
Buzzer
Breadboard
Jump wires
COMPONENTS :

7. Methodology
COMPONENTS :

8. Methodology
Working Procedure:
Step 1: Sensor Installation- Firstly we need to add the sensors with our Arduino
Board.
Step 2: Data Collection – The Sensors continuously collect data. The
Temperature sensor provides environmental data, while the methane gas
sensor monitors gas concentrations.
Step 3: Data Processing – The arduino Uno board processed the Data after
collecting from the sensors.

9. Methodology
Working Procedure:
Step 4: Alert System - The alert system can include turning on a red LED,
activating a buzzer, and sending a notification and alert to the user. So,

10. Domain Area
Food Technology and Safety
This project primarily falls within the domain of food technology
and safety, addressing issues related to food spoilage, freshness, and
safety. The Internet of Things (IoT) has revolutionized various
industries, including the realm of food technology and safety. In this
project, we aim to harness the power of IoT and Arduino to create a
system that detects and monitors various aspects of food, ensuring its
quality and safety throughout the supply chain. IoT-enabled sensors
and Arduino microcontrollers will play a pivotal role in achieving this
objective.

11. Conclusion
 Enhanced Food Safety: The system contributes to improved food safety by detecting
spoilage early, reducing health risks.
 Sustainability Impact: It helps combat food waste, promoting sustainability and
minimizing the environmental footprint.
 Cost Savings: Businesses and consumers benefit from cost savings by reducing food
losses due to spoilage.
 Empowering Consumers: It empowers consumers with information to make informed
decisions about their food choices.

12. References
https://www.arduino.cc/
https://www.kaggle.com/datasets
https://ieeexplore.ieee.org/