Milk Pureness Detection System
Milk is an essential element of our daily diet. It provides a wide array of nutrients, including vitamins, minerals, protein, healthy fats, and antioxidants. It is very much important to drink healthy milk. However, due to different aspects of our society i.e. unhealthy environment, corruption, and
2025-06-28 16:34:07 - Adil Khan
Milk Pureness Detection System
Project Area of Specialization Artificial IntelligenceProject SummaryMilk is an essential element of our daily diet. It provides a wide array of nutrients, including vitamins, minerals, protein, healthy fats, and antioxidants. It is very much important to drink healthy milk. However, due to different aspects of our society i.e. unhealthy environment, corruption, and lack of food security, we are consuming impure milk provided by dairy shops. Among the causes of small-scale dairy producers’ difficulties in producing hygienic products are informal and unregulated marketing, handling, and processing of dairy products; lack of financial incentives for quality improvement; and insufficient knowledge and skills in hygienic practices. This impure milk produces adverse effects on our health and in the worst case, it may cause severe issues with the digestive system and may cause food poising, stomach cramps, vomiting, and diarrhea as well. According to the World Food Organization report, in Pakistan, 41% of health issues are due to impure milk. Unfortunately, there is no absolute or intelligent system in order to identify the quality of the Milk in Pakistan.
In this project, an Intelligent Milk Quality Detection using Artificial Intelligence based system is proposed. The project proposed an optical sensor based digital system that identifies the quality of milk using machine learning techniques. The optical signal is acquired from Milk and after that signal processing techniques will be applied in order to convert the signal to be classified for machine learning approach. In addition to optical, the other sensors such as fat, protein, and water preserve sensors are used to get accurate results. The project will offer an intelligent and accurate system to detect the quality of milk that will acknowledge the best milk to be consumed by the public.
Project ObjectivesThe aim of the project is to develop an Intelligent Milk Quality Detection system that accurately acknowledges the impurity of the milk. This will be the first prototype that will acknowledge the impurity of the milk using Artificial Intelligence. The project has the following objectives.
- To use optical technology to measure the Milk reflection.
- To use the other sensors for accurate measurements
- To Implement AI system (Machine Learning algorithms) for Recognition of Milk Quality from the optical signal and other sensor’s data acquired from optical technology
- To design a prototype for an Intelligent Milk Quality Detection system that accurately acknowledge the impurity of the milk
The implementation of the project will be carried out as per the direction mentioned in the objectives. In the first step, the optical transducer will expose pulse on milk to be tested for impurity. After that using phototransistor, the optical pulses reflected from milk will be collected. The collected reflected optical pulses from milk in addition to other data from different sensors will be processed using an Embedded system that will convert the signal into the digital signal and after that, the data will be given to a machine learning model for training the data. Finally, the AI-based system will collect the data from the optical sensor and will train the system based on received real-time data along with detection and recognition of impurity of the milk. The implementation model is depicted in Figure 1.
Figure 1 Proposed Implementation Model of the project.
The proposed system will be based on three sub-systems. The first one is sensing system, second is the processing of data and the last one is machine learning algorithm system. These sub-systems are shown in Figure 2.
Figure 2 Proposed Methodology.
The sensing system is based on Optical Technology that measures the light intensity that is reflected from the milk that is going to be tested, in addition, the sensing system also measures the PH value of the milk as well.
The processing system will be based on a data accusation system and a real-time embedded system that will carry and process all the data from the sensing system. This will transfer the data to an AI system for classification and recognition of milk impurity.
The last stage will be machine learning that utilizes Support Vector Machine via testing and training. During training mode, the algorithm takes know CSV data and starts learning using SVM. During the testing mode, the algorithm takes the real-time data and applies SVM that find a close match.
Benefits of the ProjectThe benefits of the proposed Milk Quality Identifier project are that it will intelligently and accurately distinguish the impurity of milk that will be free of debris and sediment; free of off-flavors and abnormal color and odor; low in bacterial count. The proposed system will help in finding the milk that is safe and suitable for its intended uses. The project will help in achieving good quality, good hygiene practices should be applied throughout the dairy chain. Milk testing and quality control should be carried out at all stages of the dairy chain. The proposed Milk Quality Identifier project will be tested for quantity – measured in volume or weight, organoleptic characteristics – appearance, taste and smell, compositional characteristics – especially fat, solid and protein contents, physical and chemical characteristics, hygienic characteristics – hygienic conditions, cleanliness, and quality, and adulteration – with water, preservatives, added solids, etc.
Technical Details of Final DeliverableThe project will deliver the prototype that will intelligently identify the milk quality as the final deliverable. The data set of different milk types of animals will be considered for training and testing. Finally, the accuracy of the machine learning algorithm will be identified in order to find the quality of the milk.
Final Deliverable of the Project HW/SW integrated systemCore Industry FoodOther Industries Health Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable 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) | 61500 | |||
| Optical Sensors | Equipment | 2 | 2500 | 5000 |
| Smell and Taste Sensor | Equipment | 1 | 2500 | 2500 |
| Fat , solid and protein contents Sensor | Equipment | 1 | 4000 | 4000 |
| Water, preservatives Sensor | Equipment | 1 | 3000 | 3000 |
| Digital Color Sensor | Equipment | 1 | 2000 | 2000 |
| Optical Transmitter | Equipment | 1 | 5000 | 5000 |
| Optical Receiver | Equipment | 1 | 3000 | 3000 |
| Optical-Electrical Convertor | Equipment | 1 | 3500 | 3500 |
| Embedded System Module-FPGA Module | Equipment | 1 | 16000 | 16000 |
| ADC digital module | Equipment | 1 | 2500 | 2500 |
| Data Acquisition Card | Equipment | 1 | 5000 | 5000 |
| Resistor, Capacitors and other components | Equipment | 2 | 500 | 1000 |
| LCD panel | Equipment | 2 | 1000 | 2000 |
| Model Prototype | Miscellaneous | 1 | 2000 | 2000 |
| Printing Cost | Miscellaneous | 1 | 3000 | 3000 |
| Stationary | Miscellaneous | 1 | 2000 | 2000 |