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Average Ratings 0 Ratings
Description
Kallipr Kloud serves as an advanced industrial IoT software solution that oversees extensive monitoring networks related to water, wastewater, stormwater, environmental, and industrial operations. It efficiently manages the entire lifecycle of devices, facilitating rapid deployment through configuration templates, secure registration, remote updates, and real-time diagnostic capabilities. By offering operators a comprehensive perspective of their network, the platform enables them to access live insights, perform trend analyses, and manage alarms effectively for issues such as blockages, leaks, and pressure fluctuations. Kallipr Kloud seamlessly integrates with Azure and allows data transfer into existing SCADA, GIS, or analytics systems without the need for middleware. Built with scalability in mind, it ensures secure communications, prolonged device longevity, and optimal uptime. When paired with Kallipr’s data loggers, radar sensors, and multi-sensor gateways, it delivers an all-encompassing hardware and software solution utilized by more than 300 organizations in Australia, New Zealand, and the United States. This comprehensive approach positions Kallipr Kloud as a leader in the industrial IoT space, meeting the diverse needs of its users effectively.
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
API Access
Has API
Screenshots View All
No images available
Integrations
C
C++
Helm
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
NVIDIA Triton Inference Server
PyTorch
Python
Integrations
C
C++
Helm
Kubernetes
NVIDIA Jetson
NVIDIA Metropolis
NVIDIA TensorRT
NVIDIA Triton Inference Server
PyTorch
Python
Pricing Details
$15
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kallipr
Founded
2017
Country
Australia
Website
www.kallipr.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/deepstream-sdk
Product Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization