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Yoodle Usecase II

ROHITHKUMARN edited this page Apr 12, 2018 · 2 revisions

Computer Vision based Gun and Knife Detector

Features:

  • The application should be able to receive a live feed from any Bluetooth enabled camera and detect the presence of a gun and/or a knife in real time.

  • You are free to use any camera source.

  • You can train a detector using any publicly available dataset.

References:

https://www.sciencedirect.com/science/article/pii/S1877050915014076

Use Cases

Winners

PITCH category

First Prize:

Usecase

Team Members:

Mehta Avni,avnimehta@mail.umkc.edu

Muppala Trinadha,trm35c@mail.umkc.edu

Thomson Erich emt9q7@mail.umkc.edu

Charles, Paul pscy9f@mail.umkc.edu

Source Code

Youtube

Presentation

Second Prize:

Usecase

Team Members:

Sayed Khushal Shah, ssqn7@mail.umkc.edu

Sidrah Junaid, sjhv6@mail.umkc.edu

Zeenat Tariq, zt2gc@mail.umkc.edu

Syed Jawad Shah, shs6g7@mail.umkc.edu

Source Code

Youtube

Presentation

Third Prize:

Usecase

Team Members:

Shalin, sjprtm@mail.umkc.edu

Khushbu Kolhe, kkvcm@gmail.com

Geo, gwrn2@mail.umkc.edu

Source Code

Youtube

Presentation

JAM Category and Audience Choice Award

First Prize:

Usecase

Team Members:

Ruthvic rpmgz@mail.umkc.edu

sneha smccr@mail.umkc.edu

swati ss3m6@mail.umkc.edu

cameron cjlth5@mail.umkc.edu

Source Code

Youtube

Presentation

Event

Kick-off (PPT and Video)

Presentation Video

Grand Finale (PPT and Video)

Presentation Video

Google Pics

Team

Industry Partners and Organizers

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