Fire Eye

Fire Eye

About

Identifying real-time location of firefighters is a difficult challenge for external command centres but vital for safety. Fire Eye is a high precision light-weight wearable navigation system using AI algorithms to detect the location and status of firefighters with the ability to alert the command centre if a firefighter is not moving and potentially in danger. Its environmental mapping and navigation system can effectively prevent firefighters from getting lost in buildings where fire and smoke reduce visibility.

Team

Le Du

Le Du

Beijing Institute of Technology

Le Du is a student at the Beijing Institute of Technology.

Salah Abdeljabar

Salah Abdeljabar

King Abdullah University of Science and Technology (KAUST)

Salah is an MS/Ph.D. student under the supervision of Professor Mohamed-Slim Alouini

Yingquan Li

Yingquan Li

King Abdullah University of Science and Technology (KAUST)

Yingquan Li is a PhD. Student under the supervision of Prof. Mohamed-Slim Alouini

Wafa Hedhly

Wafa Hedhly

King Abdullah University of Science and Technology (KAUST)

Wafa Hedhly is a PhD. student under the supervision of Prof. Mohamed-Slim Alouini

Jiajie Xu

Jiajie Xu

King Abdullah University of Science and Technology (KAUST)

Jiajie Xu is a PhD. student under the supervision of Prof. Mohamed-Slim Alouini

Zhilin Cheng

Zhilin Cheng

Northeastern University at Qinhuangdao

Zhilin Cheng is an undergraduate student at Northeastern University at Qinhuangdao

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