As many brick and mortar stores have already built and integrated online platforms, other digital-native brands who gained popularity online are opening physical shops, not with the purpose of directly selling their products, but simply providing retail entertainment in the form of refreshments and pick-up services.
We created a mobile application capable to identify products in a store and automatically add them to cart based on computer vision and machine learning capabilities.
We used dedicated machine learning devices Neural Compute Stick with Intel Movidius VPU to track and identify products in a store.
The mobile app will use the camera to take pictures and identify products, using CNN pre-trained models with store products.
Once identified, products can be added to cart or bookmarked for later buying or sharing with friends. Bookmarked products will be visible in augmented reality inside the store, making customers’ life easier when it comes to immediately spot what they are looking for.