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What is NWarch AI?

Daten & Wissen, a recognized entity by DPIIT and a collaborator with NVIDIA Inception, has introduced NWarch AI, a cutting-edge platform that emphasizes edge-first video analytics and automation, effectively converting current CCTV and sensor data into timely insights related to safety, crowd management, and operational efficiency. This innovative solution tackles the issues of fragmented video information, the drawbacks of slow manual monitoring, and the costs associated with overhauling existing systems by delivering seamless edge inference, AI-powered natural language agents for quick inquiries, and user-friendly automation workflows that do not require coding knowledge. NWarch AI serves a diverse range of industries, including construction, manufacturing, logistics, retail, and security, enabling faster incident response, simplifying compliance reporting, and achieving considerable efficiency gains. As organizations leverage this technology, they are empowered to improve their operational capabilities and make informed, data-centric decisions with greater ease. Ultimately, the adoption of NWarch AI not only enhances performance but also fosters a smarter, more responsive approach to managing real-time insights.

What is NVIDIA DeepStream SDK?

NVIDIA's DeepStream SDK is a powerful toolkit designed for streaming analytics, utilizing GStreamer to enable AI-enhanced processing across a multitude of sensors that encompass video, audio, and image data. This SDK allows developers to build sophisticated stream-processing pipelines that effectively incorporate neural networks along with advanced features such as tracking, video encoding and decoding, and rendering, thus facilitating real-time analysis of varied data formats. DeepStream is integral to NVIDIA Metropolis, a holistic platform that transforms pixel and sensor data into actionable insights. It offers a flexible and responsive environment tailored to a range of industries, supporting numerous programming languages including C/C++, Python, and an intuitive UI via Graph Composer. By facilitating immediate understanding of intricate, multi-modal sensor information at the edge, it not only boosts operational efficiency but also provides managed AI services deployable in cloud-native containers orchestrated by Kubernetes. As a result, with the growing dependence on AI for informed decision-making, the functionalities of DeepStream become increasingly critical in maximizing the potential of sensor data. Moreover, the continuous evolution of the SDK ensures that it remains at the forefront of technological advancements, adapting to the changing needs of various sectors.

Media

Media

Integrations Supported

C
C++
Helm
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
NVIDIA Triton Inference Server
PyTorch
Python
TensorFlow

Integrations Supported

C
C++
Helm
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
NVIDIA Triton Inference Server
PyTorch
Python
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

500 per use case per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Daten And Wissen

Date Founded

2019

Company Location

India

Company Website

datenwissen.com

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/deepstream-sdk

Categories and Features

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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