Super Lidar - Lidar for Blind
For blind and visually impaired individuals seeking assistance with spatial navigation and social distancing.
Overview · Full Intel report in progress
Super Lidar - Lidar for Blind is an established productivity app that is completely free. With a 3.9/5 rating from 18 reviews, it shows polarized user reception.
What is Super Lidar - Lidar for Blind?
Current Momentum
v1.2 · 60mo ago
ZombieLast updated 1816d ago. 3 versions tracked.
Competition
Rivals identification in progress
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What makes this app unique?
What Does It Look Like?
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What Are The Key Features?
Scans and maps 3D environments to provide sound-based feedback regarding the distance of surrounding obstacles.
Uses AI to identify people and objects in the user's immediate field of view.
Specifically designed to help users maintain social distancing and detect if people nearby are wearing masks.
How much does it cost?
Who Built It?
Virtual Collaboration Research
Developing specialized productivity and accessibility tools that leverage AI and spatial computing to assist users with visual impairments and information management.
Portfolio
5
Apps
What other apps does Virtual Collaboration Research make?
Explore the full Virtual Collaboration Research report
Portfolio breakdown, audience, momentum, and every app published by Virtual Collaboration Research.
Analysis in progress, available soon
What do users think recently?
Analysis in progress, available soon
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
Analysis in progress, available soon
What is the competitive landscape for Super Lidar - Lidar for Blind?
How's The Productivity Market?
Market outlook for this category
Available very soon
Strategic analysis coming soon
SWOT, key takeaways & outlook
The outtake for Super Lidar - Lidar for Blind
Key Takeaways
While the app offers innovative LiDAR-based navigation, users report significant concerns regarding app stability, forced email registration, and limitations in detecting low-level objects like stairs.
Where Is It Heading?
Trend analysis
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