tak2 / trainAI-HackZurich2019

trainAI- Siemens challenge -HackZurich2019

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trainAI-HackZurich2019

trainAI- Siemens challenge -HackZurich2019

Inspiration

Use AI to identify the gps position of field devices and guide technicians to the exact position of faulty devices

What it does

Pinpointing faulty equipment on train tracks using AI to map the location of equipment from video taken from train cockpit to have accurate GPS location

How we built it

Frontend: Android for the navigation to the faulty devices Backend : Keras and tensorflow to identify the devices from the images Python to match the output to the documentation data And extract a data base for the frontend

Challenges we ran into

-Identifying the devices as they don't have a unique ID -having split tracks with different devices without knowing the exact path of the train

Accomplishments that we're proud of

What we learned

What's next for trainAI

Identification of foreign objects and debris on the train tracks and tagging its location

About

trainAI- Siemens challenge -HackZurich2019


Languages

Language:Python 93.4%Language:Kotlin 6.6%