Lumina manual AI camera Reviews

Lumina manual AI camera Reviews

Published by on 2021-01-15

🏷️ About: Main features of Lumina: - Supports RAW format shoot, with Enhanced RAW technology True HDR (High Dynamic Range) mode, with automatically detection of HDR scenes through realtime Histogram analysis - NightMode, not just a night mode but the best in the market! For all iPhones. - Professional grade BKT (Bracketing Mode) - Long Exposure mode simulation with up to 30 seconds and realtime image stabilization - Selfie Mode - Manu.


       


Overall Customer Experience 😎


🫥 Neutral
37.3%

🤬 Negative experience
31.9%

😎 Positive experience
30.7%

~ from Justuseapp.com NLP analysis of 2 combined software reviews.



Read 0 Customer Service Reviews 😠💢

5.0 out of 5


Is Lumina manual AI camera Safe? 🙏

Yes. Lumina manual AI camera is very safe to use. This is based on our NLP (Natural language processing) analysis of over 2 User Reviews sourced from the Appstore and the appstore cumulative rating of 5.0/5 . Justuseapp Safety Score for Lumina manual AI camera Is 49.0/100.


Is Lumina manual AI camera Legit? 💯

Yes. Lumina manual AI camera is a totally legit app. This conclusion was arrived at by running over 2 Lumina manual AI camera User Reviews through our NLP machine learning process to determine if users believe the app is legitimate or not. Based on this, Justuseapp Legitimacy Score for Lumina manual AI camera Is 100/100..


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Features

To enable this, Lumina, in HDR mode takes up to 3 shoots with variable shutter speeds then, using its powerful AI models, blends pixels wise each shoot to create a stunning image.

To improve noise ratio, Lumina will adjust exposure to lower ISO value while keeping an acceptable slow shutter speed.

iPhone sensors are able to take stunning RAW shoots but its exposure algorithm often gives priority to higher shutter speed at cost of ISO.

Thanks to Stability Detection technology Lumina knows what is the minimum shutter speed for every scene.

Lumina combines the power of AI with powerful Computer Vision technique to archive the longer possible exposure while retaining the right color balance.

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Developer:
Mario Polito