Identifying Mosquito Species Using Smartphone Cameras

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

  • 0 Collaborators

  • 116 Followers

    Follow

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.

Medium 14470560 1641013046191545 1970262339950092819 n

Srinivasan S. updated status

Medium 14470560 1641013046191545 1970262339950092819 n

Srinivasan Saripalli

Design and Development of a Android App for Autistic Children. This App would be simultaneously Developed in both English and Kannada languages and would serve as a great helper App for such physically challenged children. The App subsequently would also have the feature to interact with the child, understand the child behaviour and automagically respond to his/ her requests of any kind.

Medium 0 1q5oz3f2dnky0hs3zlkxr8imftuy4m93qfrbyhrg3bv00zk7nxx6pqthsp1

Nilesh created project Demand prediction on graphs

Medium 95f81311 3813 46da 95d0 082ca97ef0d5

Demand prediction on graphs

Using localized spectral filtering and deep learning to predict demand between two nodes as in a graph based on current research which showed promising results for classification problems on a network basis. The next step is to build a node level classifier & that's what we have in mind.

Medium 0 iyaybazi1oe5sktz5sdo ggobpq5snyhis5r3udi pbxsx1kiei06wmorua5hzp5ie5pwxvespxkwkgkfdqc7vrq0pxlwrbwfdqgkrawqjawt6uz yc1x7hsxwozgrhzqmktiw8awyj

Sanju M. updated status

Medium 0 iyaybazi1oe5sktz5sdo ggobpq5snyhis5r3udi pbxsx1kiei06wmorua5hzp5ie5pwxvespxkwkgkfdqc7vrq0pxlwrbwfdqgkrawqjawt6uz yc1x7hsxwozgrhzqmktiw8awyj

Sanju Mathew

Solar Tracking system - Detects Locationa and predicts Solar energy output, feature to find the optimum placement for your solar installation by orienting your phone and finding the direction that gives you maximum power output, add sensors to the system and connect via Intel NUC.

See More

No users to show at the moment.

Bigger 12473585 10205294255851179 3044479898950324823 o
  • Projects 0
  • Followers 0

Ryan Le

Chicago, IL, USA

Bigger 16640963 10208696531033784 7468542001102828303 n
  • Projects 0
  • Followers 1

Tejpal Singh

407 E Fort St, Detroit, MI 48226, USA

Bigger 0 1sql1la3kpauehr0zwubh5s3v8mbm8l0cysbifafv8mc0ujjf0ubhbrfnr c0hojcysnxslcfdacjlopqacoxea3kdabjl2sfacplldtl1xyj6g1fvftuwzr5l
  • Projects 0
  • Followers 0

Zac Lu

13621 NE 126th Pl #400, Kirkland, WA 98034, USA

Default user avatar 57012e2942
  • Projects 0
  • Followers 0

Karandeep Singh Dhillon

Hey, it's me 21 years old Under-Graduate student looking to learn more in AI field.

Karnal, Haryana, India

See More