Successful implication of video feed through the teams program.
Through Video Feed success, identification of the Beyond The Bag bag will be accessible.
Accurately identifying product bags which are used in the bagging motion, disregarding those which are not.
Through TensorFlow, an object recognition framework, the Beyond The Bag bag will be successfully identified as the program is trained to identify bags present in the surrounding area.
As TensorFlow is modeled to identify bags, the program will be modeled to identify
only bags that are the Beyond The Bag bag, as to ignore other bags which are present.
Though we're not tracking individuals, the included clip is an excellent example of how TensorFlow allows object tracking capabilities.
With object tracking in mind, our model will further be trained to identify the bags which are strictly used in the bagging process, ignoring any Beyond The Bag bag's that are not in use.
This demo showcases the team's hard work, which allows users to see the team's design in action.
The BTB bag is on display as the program registers the bag in use. The identification system records this as the BTB bag, which will then register with the user's account through the app as a used bag gifting the user points for usage.