Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Easily oversee various data sets and manage process parameters using DOTS Software, which enhances bioprocess control. The software facilitates real-time tracking of multiple process metrics with the help of the Multiparameter Sensor (MPS), while also allowing for the tailored management of feeding profiles through the Liquid Injection System (LIS) in your shake flask operations, all supported by user-friendly tools. Experience advanced visualization and analytical features that grant you a greater comprehension and improved governance over your bioprocess activities. Instantly capture an image of your ongoing experiment and effortlessly share it with your team. Combine both online and offline data into a single graph through simple data annotation. Obtain valuable insights by acquiring multiple data sets in real-time, and enhance collaboration by establishing teams and defining user permissions for greater clarity and accountability in your processes. With these features, you can ensure that your bioprocessing is not only efficient but also highly adaptable to your needs.
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
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Scientific Bioprocessing
Country
United States
Website
www.scientificbio.com/dots-software
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/deepstream-sdk
Product Features
Engineering
2D Drawing
No
3D Modeling
No
Chemical Engineering
No
Civil Engineering
No
Collaboration
No
Design Analysis
No
Design Export
No
Document Management
No
Electrical Engineering
No
Mechanical Engineering
No
Mechatronics
No
Presentation Tools
No
Structural Engineering
No
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