International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 02 | Feb -2017
p-ISSN: 2395-0072
www.irjet.net
Clap Pattern Based Electrical Appliance control Prof. Aditi Shukla1, Priyanka Patil2, Kanchan Nanaware3, Shital Salve4 Prof. Aditi Shukla, Dept. of E & TC Engineering, Sandip Foundation (SITRC) College Nasik, Maharashtra, India 2Priyanka Patil, Dept. of E & TC Engineering, Sandip Foundation (SITRC) College Nasik, Maharashtra, India 3 Kanchan Nanaware, Dept. of E & TC Engineering, Sandip Foundation (SITRC) College Nasik, Maharashtra, India 4 Shital Salve, Dept. of E & TC Engineering, Sandip Foundation (SITRC) College Nasik, Maharashtra, India 1
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Abstract - In this paper, we present idea to control
Electrical Home Appliances like Light, TV, Fan, Bulb etc. using Clap. There are various techniques available to control Electrical Home Appliances such as IR based remote control switch, ON OFF Switch, Using WIFI or Bluetooth Device control. But our method is most cost effective. This project has a big social impact. Our aim is that physically challenged user. We design PIC based circuit to detect clap from other sounds. Key Words: Hand Clapping, Condenser microphone, sampling LED, Relay, Clap trigger circuit etc. 1. INTRODUCTION
Now a day’s various methods are available for controlling devices. Example simple ON OFF switch, using SMS GSM based device is control, device control using IR remote, device control using WIFI or Bluetooth. These methods used for wired and wireless technology for the purpose and each technology have its own advantages and disadvantages. This projects deals with low cost new technology to control device. In clap pattern based electrical appliance control claps is used to turn ON or turn OFF device. Idea of project is when user claps for one time device one will turn 'ON' and if user claps for two times device two will turn 'ON' and if user claps for three times device three will turn 'ON' and two turn off device 1,2,3 user has to clap. For one or two or three times respectively again. In this project we are going to use PIC based suitable micro controller and condenser microphone to accept clap input from user. 2. LITERATURE SURVEY 2.1 Clap switching This paper proposed by Somangshu Bagchi, Subhadip Ghosh, Deepak Nandi present an clap switching work prior to November 2013. In this project it gives knowledge of 555 timers, i.e. working of relay and clocks. In this type of device it provide the working of NE555 timer and the relay. The relay is switch it gives a path only when current flown through it. In this project the second timer triggers relay of Š 2017, IRJET
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Impact Factor value: 5.181
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conducting path it is established terminals of the load and the device is gets turned on. Time interval of the claps is checked with the time constant and it can be established by the RC configuration of T=1.1R7*C3 [1].
2.2 Control of Light and Fan with Whistle and Clap This paper proposed by Kashinath Murmu and Ravi Sonkar present a Control of Light and Fan with Whistle and Clap work prior accepted in November 2004. In this paper, it can detect clap and whistle properly by removing most of the noise. But it complicated to distinguish between clap and tap on a table the with the analog circuits due to similar waveform generated by it [2].
2.3 Design of a clap activated switch This paper is published Seyi Stephen olokede work prior accepted in July-December 2008. In this paper the clap activated switching device function properly by responding to both hand claps at about three to four meter away and finger tap sound at very close range, since both are low frequency sounds and produce the same pulse wave features. The resulting device is realizable, has good reliability and its relatively inexpensive [4].
2.4 GA-Based Feature Extraction for Clapping Sound Detection This paper is published Jan Olajec, Roman Jarina, and Michal Kuba present GA-Based Feature Extraction for Clapping Sound Detection work from 25 September 2006. The results of the experiment does not give clear result, in which coefficient is more and less discriminative in the case of detecting clapping sound among other sounds. But it is valuable to notice the facts that: a) the performance increases when only selected features are led to the classifier; b) clearly, the highest and lowest MFCCs are more discriminative that the coefficient from the central part of the MFCC feature vector. The future work on generic sound detection will be oriented toward application of GA on wide range of various spectro-temporal audio features to get more clear answer to the feature selection problem [5].
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