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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 
TensorFlow 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 
TensorFlow 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 

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