IEEE 2016 - 2017 EMBEDDED MILK PRODUCTS MONITORING SYSTEM WITH ARM PROCESSOR FOR EARLY DETECTION OF MICROBIAL ACTIVITY

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MILK PRODUCTS MONITORING SYSTEM WITH ARM
PROCESSOR FOR EARLY DETECTION OF MICROBIAL
ACTIVITY
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• Abstract
• Smart City initiative is an attempt
  to identify the technologies that can solve
  problems which cities must confront, such as poor
  air quality and health related issues, and hence
  create a network of partner cities to share the
  ideas for future progress. In this work an issue
  which is to facilitate smarter cities through
  world sensing is discussed. Food safety in rural
  and urban areas is a very important topic, as it
  closely affects the health of citizens. Recent
  studies highlight that raw milk contain
  pathogenic organisms which could result in
  illness if consumed which can increase the
  incidence of diseases and deteriorate the quality
  of life.

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• Hence, it is necessary to develop tools for
  real-time and smart sensing for quality
  monitoring, so and to make appropriate and timely
  decision. In this paper, we present uSense, a
  low-cost cooperative monitoring tool that allows
  one to know, in real-time, the concentrations of
  gases in raw milk. As the raw milk is stored for
  many days the growth of bacteria will be more
  which results in undesirable smell, taste and
  toxic substances. Hence there is need for
  monitoring system to detect and identify the
  spoilage of milk and produce a healthy product.

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• Existing system
• In existing system the milk monitoring
  is done through the lacto metering. This process
  is done during first step of getting the milk for
  storage and processing. After the processing is
  finished mostly the temperature monitoring is
  done. Other than that continuous monitoring is
  not done.
• Disadvantage
• The disadvantage of this system is it does not
  monitor the milk from different period of time.
• It does not find any unwanted bacterial activity,
  which results in wastage of the particular unit.

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Block Diagram
POWER SUPPLY
CARBON SENSOR
MICRO CONTROLLER
LCD MODULE
LPG SENSOR
PC INTERFACE
GAS SENSOR
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• Proposed system
• The proposed system consists of various
  sensors and RF wireless units. The basic units
  are Sensory system which is directly exposed to
  the milk samples from 3cm distance where the
  responses of each sensor are observed from the
  milk surface. The gas sensor collects data
  samples from the Spoiled raw milk and this data
  is processed in the form of gas molecules. If the
  input data of the gas molecules is in the form of
  (parts per million) to voltage then by using the
  heating elements the above data is considered for
  the further process.

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• The heating element is heating as per the
  concentration of the molecules and it depends on
  the molecules levels to convert vapour gas in the
  form of voltage. The voltage values are varying
  continuously according to the concentration of
  the spoiled milk where vapour gas molecules are
  represented with parts per million. The gas
  sensors are connected to the Microcontroller
  which presents the processing of the data values
  in the form of voltages and it is displayed by
  using the LCD Module. The tested raw milk shows
  the amount of spoilage which is to decide and
  compare the good raw milk voltage levels with
  spoilage raw milk voltage levels.
• Advantages
• Helps in early detection of toxic substances in
  milk.
• The concentration of volatile organic compounds
  (VOC) present in the head space of milk is
  obtained in real time.

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• Conclusion
• One of the Key aspects of our work is
  so related to the Internet of things because the
  proposed work is an integration of Heterogeneous
  sensors in a distributed system which performs
  the action in a physical world based on the
  environmental information gathered by the sensors
  and describes the application related constraints
  and requirements. A metal oxide semiconductor
  based sensor is used as e-nose for real time
  quality determination of raw milk. This novel
  method proposed is used for decision making with
  threshold limit to detect the presence of
  volatile organic compounds which are major
  reasons for off flavors of milk. The e-nose
  prototype or usense model developed presents
  utmost performance and its response is validated
  in real time. In simple it can be said that it is
  the best suitable model for raw milk quality
  analysis in real time with low cost and more
  flexibility.