Milk Quality Identifier

We will use infrared and some visible light to test the quality of milk. we pass the light through milk and recive its signal at reciver and give that signal to singal board system and then we will extract features from signal using signal processing technique. And at the end we will apply machine l

2025-06-28 16:34:07 - Adil Khan

Project Title

Milk Quality Identifier

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

We will use infrared and some visible light to test the quality of milk. we pass the light through milk and recive its signal at reciver and give that signal to singal board system and then we will extract features from signal using signal processing technique. And at the end we will apply machine learning technique to classify the quality of milk.

Project Objectives

In this work we proposed development of contact-less milk quality identifier.

The system takes infrared signal, apply signal processing technique and classify milk using machine learning approach.

Project Implementation Method

InfraRed Transmitter Receiver

Interface it with Single Board Computer (RaspberryPi)

Read InfraRed signal using Python programming langauge

Extract features from the signal using Signal processing techniques

Apply Machine Learning technique to classify the milk quality

Benefits of the Project

Common man can identify quality of milk very easily.

We can check that the milk we are getting is pure or have inpurities in it.

Using this device impure milk will not harm infant.

Technical Details of Final Deliverable

we will test quality of milk by contact less infrared sensing approach. we will take fixed amount of milk and give it to the device and it will test its quality and give us its information on led.

Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther Industries Food Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 70000
sensors Equipment71000070000

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