Green House Effect

Green House Effect

Abstract

             DAQ (Data Acquisition System) acquires essential data at correct speed and at correct time. The data acquired must be efficiently used so that the operator knows the state of the system. In order to maintain an online optimum and safe operation of the system must be continuously monitored.

          DAQ is capable, relabel, and flexible for further enhancement. It is able to collect summaries and store the data for the diagnosis of operation and record purpose.

          We are using DAQ for automation of Green House by controlling the parameters temperature, humidity, light. So, by using DAQ mechanism, it is possible to control various parameters for automation though we are not physically connected to the system.

Green House Effect

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An Automated Recognition of Fake or Destroyed Indian Currency Notes in Machine Vision

An Automated Recognition of Fake or Destroyed Indian Currency Notes in Machine Vision

ABSTRACT

          In this paper, we present a microcontroller based system to automatically identify the serial numbers of the Indian currency. The system utilizes several image processing techniques and algorithms. The system is accurate, fast and reliable and low cost in comparison with currently available systems.

         Almost every country in the world face the problem of counterfeit currency notes, but in India the problem is acute as the country is hit hard by this evil practice. Fake notes in India in denominations of Rs.100, 500 and 1000 are being flooded into the system. In order to deal with such type of problems, an automated recognition of currency notes in introduced by with the help of feature extraction, classification based in SVM, Neural Nets, and heuristic approach. This technique is also subjected with the computer vision where all processing with the image is done by machine. The machine is fitted with a CDD camera which will scan the image of the currency note considering the dimensions of the banknote and software will process the image segments with the help of SVM and character recognition methods. ANN is also introduced in this paper to train the data and classify the segments using its datasets. To implement this design we are dealing with MATLAB Tool. 



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