The days of the large, globe-like cameras on top of Google Street View cars may be slowly disappearing. Google has refreshed the design for the cameras used to capture Street View images, which is its first significant upgrade in eight years, reports Wired. The new camera rig will help capture photos that are clearer, higher in resolution, and more vivid in color. Like the old design, the rig will attach to a vehicle’s roof, but it now features just two cameras that take still HD photos. They each face out on either side of the car.
Google’s machine learning and AI capabilities mean that when photos are captured by a Street View car, algorithms can detect and note relevant street names and numbers, automatically adding them to Google’s database. The software can also identify business names and logos. Google is working to better the software, taking its capabilities further so one day it can recognize different types of stores based on what they look like, and reading smaller signage that show details like opening hours.
Better technology should lead to better source data for Google’s machine learning capabilities, which will allow it to expand Google’s search and Assistant functions. In an example to Wired, Google’s vice president and head of its mapping arm Jen Fitzpatrick says in the future, Google Maps might be able to answer more detailed questions that reference how the world looks, such as “What’s the name of the pink store next to the church on the corner?” Those questions can only be answered if “we have richer and deeper information,” she says.
Google Street View has been taking photos since 2007, and its fleet of Street View vehicles include cars, snow mobiles, trikes, and a trolley that captures photos indoors in places like museums. The camera rig has even been outfitted onto a backpack to take images of places that aren’t easily reached by vehicle.
Google’s machine learning and AI capabilities mean that when photos are captured by a Street View car, algorithms can detect and note relevant street names and numbers, automatically adding them to Google’s database. The software can also identify business names and logos. Google is working to better the software, taking its capabilities further so one day it can recognize different types of stores based on what they look like, and reading smaller signage that show details like opening hours.
Better technology should lead to better source data for Google’s machine learning capabilities, which will allow it to expand Google’s search and Assistant functions. In an example to Wired, Google’s vice president and head of its mapping arm Jen Fitzpatrick says in the future, Google Maps might be able to answer more detailed questions that reference how the world looks, such as “What’s the name of the pink store next to the church on the corner?” Those questions can only be answered if “we have richer and deeper information,” she says.
Google Street View has been taking photos since 2007, and its fleet of Street View vehicles include cars, snow mobiles, trikes, and a trolley that captures photos indoors in places like museums. The camera rig has even been outfitted onto a backpack to take images of places that aren’t easily reached by vehicle.