Inspiration
Challenge by Siemens and to improve individual's safety.
What it does
Tracks workers positions. Detects nearing trains. Warns workers inside a defined safety perimeter. Starts emergency stop sequence of the train if necessary.
How we built it
We used both synthetically generated (using cute) and live captured footage to develop our object tracking system on top of OpenCV. Furthermore, we used some cheap IoT hardware to demonstrate a wearable warning system. The code integrating the different components is written in Python.
Challenges we ran into
We are computer vision newbies and thus had some difficulty creating a robust object tracking system. The nonexistence of supplied video data made it necessary to be inventive to be able to test the system.
Accomplishments that we are proud of
In very little time, we could build an MVP that provides the basic functionality necessary to achieve the outset goal.
What we learned
New technologies, cooperation, working under pressure and sleep deprivation.
What's next for Safety_Eye
Improvement of object tracking. Create a prototype of a wearable or integrate an existing one. Get a drone and test the system in the field.
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