2020-06-16 00:00:00, , Business Wire

Content Categorization

Word Count:
616

Words/Sentence:
21

Reading Time:
6.16 min

Reading Quality:
Advanced

Readability:
16th or higher

Media Sentiment
Proprietary sentiment analysis on both the headline and body text of the article. Sentiment scores range from -1 (very negative sentiment) to 1 (very positive sentiment).
RCS Analysis
Relative scoring for Risk, Crisis, and Security language within the article.
Risk Score
Scoring based on the composite risk, security and crisis language within an article compared to a baseline of historic analysis across thousands of diverse articles.
PESTEL Scope
Analysis of article orientation across the PESTEL macro-environmental analysis framework. Learn more about PESTEL.
Entity Word Cloud
Key people, places, organizations and events referenced in the article, weighted by frequency and colored based on contextual sentiment.
Auto Summary
Condensing key features of the article based on salience analysis. Helpful for “gisting” the article in a time crunch.

Outsight uses Velodyne Lidar sensing technology in its 3D Semantic Camera system that helps businesses and governments improve the analysis and management of people flow and assets in large crowded environments.

In a Smart City application, 3D Semantic Cameras provide operators of public spaces access to real-time data and analysis without compromising private data protection.

Outsight believes in making a smarter and safer world by empowering cars, drones, robots and monitoring solutions with the superhuman capabilities provided by their 3D Semantic Camera.

Velodyne's lidar sensors enable the 3D Semantic Camera solution to capture 3D data and track people and objects in a way that preserves anonymity and trust.

"Velodyne's lidar sensors play an essential role in helping our platform capture, process and understand congested environments so operators can work to increase operational efficiency and security," said Cedric Hutchings, CEO, Outsight.

Keywords

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