Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
C-Radiant serves as an add-on module that enhances Aechelon Technology's pC-Nova image generator with sophisticated physics-based spectral rendering, autogain features, and various noise and sensor special effects, all achieved through advanced shader technology, eliminating the necessity for hardware post-processing solutions. In conjunction with Aechelon Technology's C-Genesis database architecture and toolset, C-Radiant enables the utilization of a unified runtime and database for both current and upcoming sensors. The database's material descriptions extend beyond a single band to encompass the entire spectrum, facilitating the creation of correlated multi-sensor outputs, such as Night Vision Goggles (NVG), Forward Looking InfraRed (FLIR), and Radar systems. This innovative approach guarantees flawless mutual correlation at a per-pixel level across all sensors and the Out-The-Window view, operating seamlessly at a refresh rate of 60Hz. As a result, users can expect enhanced visual fidelity and realism in their imaging applications.
Description
NVIDIA's DeepStream SDK serves as a robust toolkit for streaming analytics, leveraging GStreamer to facilitate AI-driven processing across various sensors, including video, audio, and image data. It empowers developers to craft intricate stream-processing pipelines that seamlessly integrate neural networks alongside advanced functionalities like tracking, video encoding and decoding, as well as rendering, thereby enabling real-time analysis of diverse data formats. DeepStream plays a crucial role within NVIDIA Metropolis, a comprehensive platform aimed at converting pixel and sensor information into practical insights. This SDK presents a versatile and dynamic environment catered to multiple sectors, offering support for an array of programming languages such as C/C++, Python, and an easy-to-use UI through Graph Composer. By enabling real-time comprehension of complex, multi-modal sensor information at the edge, it enhances operational efficiency while also providing managed AI services that can be deployed in cloud-native containers managed by Kubernetes. As industries increasingly rely on AI for decision-making, DeepStream's capabilities become even more vital in unlocking the value embedded within sensor data.
API Access
Has API
No
API Access
Has API
Yes
Integrations
C
No
C++
No
Helm
No
Kubernetes
No
NVIDIA Jetson
No
NVIDIA Metropolis
No
NVIDIA TensorRT
No
NVIDIA Triton Inference Server
No
PyTorch
No
Python
No
Integrations
C
Yes
C++
Yes
Helm
Yes
Kubernetes
Yes
NVIDIA Jetson
Yes
NVIDIA Metropolis
Yes
NVIDIA TensorRT
Yes
NVIDIA Triton Inference Server
Yes
PyTorch
Yes
Python
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Aechelon Technology
Founded
1998
Country
United States
Website
www.aechelon.com/test/cradiant.php
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/deepstream-sdk
Product Features
Simulation
1D Simulation
No
3D Modeling
Yes
3D Simulation
Yes
Agent-Based Modeling
Yes
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
Yes
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
Yes
Stochastic Modeling
No
Turbulence Modeling
Yes
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No