Demo application created for recognizing objects offline
To check the technological feasibility of creating an application that allows recognizing products on store shelves offline.
To create the application, we used a ready-made model of a neural network, which covered not only the goods of the store, but also other objects. Accordingly, many objects were redundant. In such a situation the offline operation of the app was only possible with a limited range of goods.
We developed an iOS application that allows you to recognize objects online and offline with a certain percentage of accurate recognition probability.
The offline neural network model supported only a thousand objects. As a demo model, the application has completed its task.
For the application to operate offline on a full-scale basis, further training of its own neural network model is required.
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years on the market