The project uses computer vision powered by the coco training model to identify glasses and people through a webcam. Video is sent to google's colab cloud based processing application where relative location data and ownership is derived. Drink locations are then sent via google's pubsub api to a raspberry pi to display lights corresponding to drinks.
Computer Vision enabled bartop that highlights drink locations/ownership and patron interactions