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What is VeloView?

VeloView is an adaptable open-source platform designed specifically for the real-time visualization and analysis of 3D LiDAR data collected from a range of Velodyne HDL sensor models, including but not limited to the HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, and Veladome. This software allows users to visualize live data streams or access previously recorded data stored in .pcap files, in addition to providing the capability to record live streams for later review. Equipped with tools for displaying, selecting, and measuring data from captured points, VeloView supports customizable color maps based on various criteria such as intensity-of-return, time, distance, azimuth, dual return type, and laser ID. Additionally, users can export data in CSV format as XYZ coordinates or take screenshots of the point cloud visualizations for their records. Recent updates have introduced features like support for Velarray sensors, the ability to run multiple sensors at once, and independent transformation of live data for each sensor, significantly broadening its functionality and range of application. The combination of these capabilities makes VeloView an exceptional resource for professionals engaged in 3D LiDAR technology, ultimately enhancing their analytical and visualization tasks. As such, it is increasingly recognized as an essential tool in the toolkit of those who work with cutting-edge LiDAR systems.

What is SKY ENGINE?

SKY ENGINE AI serves as a robust simulation and deep learning platform designed to produce fully annotated synthetic data and facilitate the large-scale training of AI computer vision algorithms. It is ingeniously built to procedurally generate an extensive range of highly balanced imagery featuring photorealistic environments and objects, while also offering sophisticated domain adaptation algorithms. This platform caters specifically to developers, including Data Scientists and ML/Software Engineers, who are engaged in computer vision projects across various industries. Moreover, SKY ENGINE AI creates a unique deep learning environment tailored for AI training in Virtual Reality, incorporating advanced sensor physics simulation and fusion techniques that enhance any computer vision application. The versatility and comprehensive features of this platform make it an invaluable resource for professionals looking to push the boundaries of AI technology.

Media

Media

Integrations Supported

Google Sheets
Kitware Glance
Microsoft Excel

Integrations Supported

Google Sheets
Kitware Glance
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kitware

Date Founded

1998

Company Location

United States

Company Website

www.paraview.org/veloview/

Company Facts

Organization Name

SKY ENGINE AI

Date Founded

2018

Company Location

United Kingdom

Company Website

www.skyengine.ai

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Virtual Reality

Application Development
Augmented / Mixed Reality
Collaboration
Content Creation
Cross-Device Publishing
Drag & Drop
Immersive Training
Process Simulation
Product Visualization
Social Sharing
User Interaction Tracking
Virtual Meetings
Virtual Prototyping

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