Stuffs get lost so easily, especially when at home. You know it's in the room, but you just can't find it. Isn't it annoying when you are heading out but you cannot find your keys? Isn't it disappointing when you finally finish your day but you don't know where your iPad is?

What it does

Lost-N-Found is here to help you out! Just ask, and it will tell you where you put your stuff!

How I built it

We built it with two major tools: Tensorflow object detection API and OpenCV feature matching algorithm. Combining the two, we achieved accurate object tracking and recording with minimum call to Tensorflow's API.

Challenges we ran into

Hard to build environment due to inconsistency between operating system and library function.

Accomplishments that we're proud of

What can be more excited than the project being really useful? Ours is!

What we learned

How to mess up with Tensorflow's new object detection API

What's next forItem Tracker

  1. Implement active tracking, so that user can specify what to track and tell Item Tracker what was missing.
  2. Integrate with Alexa so that user can find stuff by (imagine you lost your phone and can't reach Item do you find it)
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