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Description

NET-MOZAIC serves as a robust software-based tool for real-time monitoring of IPTV stream quality. It can function independently as a standalone unit or be integrated as a key element of the NET-xTVMS IPTV monitoring solution. Ideally situated at the head end, it has the capability to access unencrypted television channels for decoding and analyzing video quality. The system allows for the simultaneous preview of full-motion video and image analysis across multiple SD and HD streams, depending on the performance specifications of the server and CPU. It can manage hundreds of streams through a round-robin polling mechanism across up to four monitors. Users can set custom alarm thresholds for all video and audio quality metrics, enhancing the monitoring experience. NET-MOZAIC is compatible with both MPTS and SPTS multicast streams encapsulated in UDP or UDP/RTP MPEG-TS formats, as well as OTT streams utilizing HTTP HLS and DASH protocols. The thumbnail display facilitates the simultaneous viewing of numerous streams, providing efficiency in monitoring. Additionally, it employs ADOVIQ -12 advanced video quality metrics for the selected stream, complete with detailed video quality reporting, making it a comprehensive solution for IPTV content analysis.

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 Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Net Research

Country

United States

Website

www.netrsr.com/wp-content/uploads/2021/07/broszura_net_mozaik_6str_v1.pdf

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/deepstream-sdk

Product Features

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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