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features
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support

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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 

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 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 

Alternatives

Alternatives