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Description
DeskCamera is innovative screen recording software designed specifically for video surveillance purposes. This tool transforms a Windows computer into a virtual IP camera, enabling the direct recording of desktop screens, application windows, webcams, and audio into any Video Management System (VMS) or Network Video Recorder (NVR), functioning just like traditional security cameras within the system. With no additional hardware required, DeskCamera serves as a software-only solution that can be installed within moments, replacing the need for video encoders, signal splitters, and cameras aimed at monitors. It is commonly utilized for various applications, including point-of-sale screen recording to combat retail theft, monitoring workstation activity in casinos, capturing SCADA and HMI screens, reviewing control-room operations, overseeing bank teller activities, recording airport displays, and converting RTSP streams to ONVIF. Key features include support for 4K resolution, frame rates of up to 60 FPS, GPU encoding through Intel QSV, NVIDIA NVENC, and AMD VCE technologies, multi-monitor streaming capabilities, picture-in-picture functionality, and motion detection events. DeskCamera partners with notable companies such as Milestone, Genetec, Pelco, Network Optix, and Digital Watchdog, among others, and is relied upon by esteemed organizations including Victoria Gate Casino, Universal Studios Japan, Siemens Energy, and Honeywell, showcasing its widespread trust and effectiveness in the industry. This versatility makes DeskCamera an essential tool for a wide range of surveillance 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
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
No price information available.
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
DeskCamera
Founded
2017
Website
www.deskcamera.com
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
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
