Detection of milk impureness

Milk is an essential element of our daily diet. It provides many nutrients, including vitamins, minerals, protein, healthy fats, and antioxidants. It is very much essential 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, worst cases. According to the World Food Organization report, 41% of health issues are due to impure milk in Pakistan. Unfortunately, there is no absolute or intelligent system to identify the Milk quality in Pakistan. In this work, an Intelligent Milk Quality Detection system is proposed. The project proposed an optical sensor based digital system that identifies milk quality. The optical signal is acquired from Milk and after that signal processing techniques will be applied to convert the signal to be classified for the 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.