This week, Google divulged plans for an approach to look through that consolidates pictures and text to give more context to search queries. The strategy can utilize a cell phone’s camera in combination with AI, endeavoring to instinctively refine and extend search results.

At its Search On event this week, Google uncovered insights regarding how it intends to use a technology it calls Multitask Unified Model (MUM), which ought to intelligently sort out the thing a client is searching for dependent on pictures and text, as well as give clients more approaches to search for things.

While Google didn’t give a particular date, its blog post stated the feature should carry out “in the coming months.” Users will actually want to point at something with a phone camera, tap an icon which Google calls Lens, and ask Google something identified with what they’re looking at. The blog post theorizes situations like snapping a photo of a bicycle part you don’t have a clue about the name of and asking Google how to fix it, or snapping a photo of a pattern and attempting to discover socks with a similar pattern.

Google at first presented MUM back in May where it guessed more situations in which the AI may help extend and refine searches. On the off chance that a client gets some information about climbing Mt. Fuji for example, MUM may raise results with data about the weather, what gear one may require, the mountain’s height, etc.

A client ought to likewise have the option to use MUM to snap a photo of a piece of equipment or clothing and inquire as to whether it’s reasonable for climbing Mt. Fuji. MUM ought to also have the option to deliver data it gains from sources in various languages other than the one the user searched in.