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iDabba
. category:
Group
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#Object Detection
#classification
#rpi
#flask
#Computer Vision
The project, named “iDabba” is a smart container which identifies what fruit/vegetable/item is kept in it ( the item has to be one of those trained for image analysis ), the surrounding temperature, humidity of the item, and its weight. All this information is visible to the user via a web app. The container designed is fuss-free, convenient and washable. We were motivated to design this project to easily solve everyday hassles in kitchens and households regarding spoilage and infestation. It can even be scaled to meet the needs of farmers and storage companies for smart storing options and act as a small-scale silo.
Technologies involved: HAAR classifiers in openCV, Sift Detection, and Microsoft’s Computer Vision API and developed on Arduino and Raspberry Pi.
Flask for backend.
The iDabba Presentation Poster : Link
Also you can access the source code here.
A short Video : Link
Also featured on our institute's director's blog - Link Here
I am an Undergrad at IIIT-Delhi pursuing B.Tech in CSE. I am an enthusiastic programmer and love to participate in Hackathons / CTF's / Programming contests etc. I prefer building things that solve some problem. I also am a nature lover and love star gazing.