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Google Maps to get an ‘enhanced’ Dark Mode and it's nothing close to the one seen during navigation

Google Maps Navigation
Google Maps Navigation (Unsplash)

Some of them also mention ‘Appearance’ in Settings. There one can see the option to switch to the Default to device theme, Dark theme, and Light theme. However, the report states that this new theme change will be different from the one that we see now under the navigation appearance.

Many would argue that at today’s date, Google Maps app already has a semi-dark mode which we always see during the navigation while entering a low-light area. Although it shows a dark shade on the map, most of the areas remain white and not in line with the rest of the look. However, all that might change soon as the firm is now planning to bring an enhanced Dark Mode in the app. This has not been made official yet but is instead found in the APK teardown of the version 10.50 of Google Maps.

As found by 9to5Mac, the teardown reveals several code strings that mention ‘DARK_MODE_SETTING.’ Here are a couple of codes:

<string name=”DARK_MODE_TOOLTIP_TEXT”>Go to Settings for light theme</string>

<string name=”DARK_MODE_SETTINGS_DIALOG_TITLE”>Appearance</string>

Also read: Google reveals how it uses AI to predict traffic jams, suggest best routes on Maps

Some of them also mention ‘Appearance’ in Settings. There one can see the option to switch to the Default to device theme, Dark theme, and Light theme. However, the report states that this new theme change will be different from the one that we see now under the navigation appearance.

In addition to this, several ‘night’ assets were also found in version 10.50.

Talking about Google Maps, the company has explained in a new blog post how it uses AI to track and identify traffic jams, and suggests the best possible routes to users. To predict future traffic, Google said it analyses historical traffic patterns for roads over time. Google then uses machine learning to combine the historical traffic patterns with real-time traffic conditions and predict future traffic.

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