Identifying Mosquito Species Using Smartphone Cameras
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Identifying Mosquito Species Using Smartphone Cameras

The goal of this project is to enable the non-expert person by leveraging their smartphone to detect harmful vs non-harmful mosquitoes.

Artificial Intelligence

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Description

According to WHO(World Health Organization) reports, among all disease transmitting insects mosquito is the most hazardous insect. In 2015 alone, 214 million cases of malaria were registered worldwide. Zika virus is another deadly disease transmitted from mosquitoes. According to CDC report, in 2016 62,500 suspected case of Zika were reported to the Puerto Rico Department of Health (PRDH) out of which 29,345 cases were found positive. There are 3500 different species of mosquitoes present in the world out of which 175 types is found in United States. But only few of them are responsible for these above mentioned fatal disease. Therefore classification between hazardous and regular mosquitoes are very important. For regular person with no expertise in this field would be almost impossible to identify the difference. Even for the mosquito expert, identifying different species is a very tedious and time consuming job. Hence in this paper, we have tried to classify 7 different species of dead mosquitoes with total 60 samples collected from Hillsborough County Mosquito and Aquatic Weed Control Unit,Tampa Florida by capturing image from smart phone cameras. With our approach we want to enable nonexpert population to early identify the risk and act pro-actively. We pre-processed the image for removing noise and applied random forest classification algorithm to distinguish different species. Achieved good precision,recall,F1 measure and aggregate 83:3% accuracy. We are also planning to develop a smart-phone application which will leverage this learning model and help in empowering population to identify mosquito species without any knowledge in this field.

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hassan a. created project Scooter

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Scooter

i already made the full mockup for the application and am try now to convert that work to an application to send the shipment details to my couriers

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hassan a. updated status

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hassan adel

am working on building a mobile application for my business i have shipping company it's on demand service and i would like to use mobile app to send delivery to couriers

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Krunal Pawar

I am a pharmacist and studied epidemiology from Munich University. I am interested in learning AI and its implications in patient safety.

Frankfurt, Germany

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Maksim Shevtsov

vulica Savieckaja 97, Babrujsk, Belarus

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Brad Klenz

Principal IoT Analytics Architect at SAS

Raleigh, NC, USA

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Bishnu Satpathy

I AM BISHNU PRASAD SATPATHY A DIGITAL MARKETEER AND AN NETWORK ENGINEER HAVING IMMENSE INTEREST IN AI.

Sector - 106, Noida, Uttar Pradesh 201304, India

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Vivek Soundararajan

Developer by profession, IoT Player by Passion

11th Cross Rd, Ganapathy Nagar, Phase 3, Peenya, Bengaluru, Karnataka 560058, India

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Adnan Ali

Hillsboro, OR, USA

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Kaibo Liu

PhD student at Oregon State University

Corvallis, OR, USA

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