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IoT based smart mosquito killing system
, C.A. Reddy, M.L.S.S. Aahwanik, S. Varshith, R. Krishnaprasanna, M. Tamilselvi, R. Rajashree, X.-Z. Gao
Published in Blue Eyes Intelligence Engineering and Sciences Publication
2019
Volume: 8
   
Issue: 4
Pages: 587 - 591
Abstract
As mosquitoes are one of primary source which prompts cause terrifying maladies. Lessening the mosquito populace is progressively essential particularly in populated nation. Numerous mosquitoes cause illness like intestinal sickness, dengue and so on. So as to kill these illnesses, individuals are utilizing numerous cures like synthetic anti-agents which cause increment in circulatory strain and furthermore mental meltdown. Proposed brilliant mosquito killing framework, doesn’t make any sort of mischief individuals. As this framework is innocuous to individuals as it produces ultrasonic sound waves. The recurrence scope of ultrasonic sound waves is over 20 kHz which are indiscernible to people. The ultrasonic sound rushes of recurrence scope of 40 kHz are perceptible to mosquitoes and different bugs. Whenever mosquitoes and different creepy crawlies impart, they constantly sense ultrasonic sound waves; they get aggravated and are compelled to move far from that region. This framework can be viably used to trap and obliterate mosquitoes from numerous spots like schools, parks, college’s grounds and associations. Proposed framework lessens the number of inhabitants in the mosquitoes by utilizing UV light, electric fence and ultrasonic sensor. Proposed system would be worked utilizing site utilizing web. A raspberry pi alongside ultrasonic sensor, electric fence driver, and DC fan are used. In order to pull in the mosquitoes UV light is utilized alongside that automation is being executed in the proposed framework it is a cost effective approach and is portable. Proposed system will be actualized and it demonstrates that device will kill up to 35% of mosquitoes. © BEIESP.
About the journal
JournalInternational Journal of Engineering and Advanced Technology
PublisherBlue Eyes Intelligence Engineering and Sciences Publication
ISSN22498958