Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Introducing an innovative tool that merges your creativity with the surrounding environment to craft captivating experiences. Animant is built around augmented reality (AR), enabling you to visualize interactive 3D elements seamlessly integrated into your real-world surroundings, while also allowing you to immerse your reality into a virtual context. You can capture intricate 3D scans of any object using your camera, which can then be imported into your project or exported for use in other applications. With features like external lighting and physics simulation, your scenes can truly feel like an organic extension of your reality. Additionally, you can enhance your scenes with captions that support markdown formatting, allowing you to add textual elements either at the bottom or overlaid within the scene. Notably, Animant can also narrate your captions, enriching the storytelling aspect of your project. You can create textures from photographs to apply to objects, and even take panoramic images of your surroundings, setting them as the backdrop for your scene, thus further expanding your creative possibilities. This versatility makes Animant an essential tool for anyone looking to explore the intersection of the digital and physical worlds.
Description
Parallel Domain Replica Sim empowers users to create highly detailed, fully annotated simulation environments using their own captured data, such as images, videos, and scans. With this innovative tool, you can achieve near-pixel-perfect recreations of actual scenes, effectively converting them into virtual settings that maintain their visual fidelity and realism. Additionally, PD Sim offers a Python API, allowing teams focused on perception, machine learning, and autonomy to design and execute extensive testing scenarios while simulating various sensor inputs like cameras, lidar, and radar in both open- and closed-loop modes. These simulated sensor data streams come fully annotated, enabling developers to evaluate their perception systems across diverse conditions, including different lighting, weather scenarios, object arrangements, and edge cases. This approach significantly reduces the need for extensive real-world data collection, facilitating quicker and more efficient testing processes. Ultimately, PD Replica not only enhances the accuracy of simulations but also streamlines the development cycle for autonomous systems.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Python
No
Pricing Details
$5.99 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Animant
Website
animant.co
Vendor Details
Company Name
Parallel Domain
Founded
2017
Country
United States
Website
paralleldomain.com/product
Product Features
Augmented Reality
3D Objects
No
3D Product Visualization
No
Application Development
No
Content Creation
No
Cross-Device Publishing
No
Drag & Drop
No
For Mapping
No
For Sales
No
For Training / Education
No
Object Recognition
No
Simulation
No
Usage Tracking / Analytics
No
Virtual Reality
No
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No