Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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