Object detection | Raspberry Pi | Machine Learning | Visually Challenged

      Hello All 😊. After working with the Face to Voice for visually challenged and tried to make it as a product. But a question arises inside me.✋. Recognizing a human is fine. But what if other objects come around them?😅. Simple, they ask the person near around them? Yuk! That's not going to happen when the world have a electronics hobbyist like me. So that I've created a system which can differentiate the object in real time and most importantly it should be portable.

      As always Raspberry Pi is a heart of the system with the Raspbian Jessie is used. Thank to Google tensor-flow API which is a open source library for Machine Learning, they've COCO - Common Object in Context. Lots of models set are available in the tensor-flow. I just utilized a basic model sdd_mobileclient_v1, for testing it out the performance. And I just wondered with it's speed😭. Further, I'm working on to make it as a perfect product.

Working Images:
Pretty Good!

I'll work on to improve the speed of processing on raspberry pi and embedding a audio out to it. Bye for now!✌



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