AI-Powered Multi-Camera Tracking
Speed development of the next wave of vision AI that measures and helps manage infrastructure and operations over large spaces.
Workloads
Computer Vision / Video Analytics
Industries
Smart Cities / Spaces
Retail/Consumer packaged goods
Manufacturing
Healthcare and Life Science
Business Goal
Return on Investment
Risk Mitigation
Products
NVIDIA Metropolis
NVIDIA Omniverse
NVIDIA TAO
NVIDIA AI Enterprise
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Overview
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Technical Implementation
What Is Multi-Camera Tracking?
Imagine a world where factories run automatically with safety and efficiency, retail spaces are optimized for the shopper experience, and public spaces like hospitals, airports, and highways are safer and more streamlined. These spaces are too large for a single camera to cover, so they’re typically monitored by hundreds of cameras. Following objects and measuring activity accurately across cameras and space is called multi-camera tracking, letting you effectively monitor and manage your spaces.
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AI-Powered Multi-Camera Application Development
NVIDIA's customizable multi-camera tracking workflow gives you a starting point to get your development in gear without having to start from scratch and eliminates months of development time. The workflow also provides a validated path to production.
The solution includes state-of-the-art AI models pretrained on real and synthetic datasets that you can customize for your use case. It covers the entire lifecycle—from simulation to analytics—and integrates NVIDIA's cutting-edge tools, including Isaac SIM™, Omniverse™, TAO, and DeepStream. This workflow is packed with real-time video streaming modules and is built on a scalable, cloud-native microservices architecture. No extra cost, just infrastructure and tool licenses. Plus, you get expert support and the latest product updates with NVIDIA AI Enterprise to accelerate your vision AI project.
How Can You Use Multi-Camera Tracking?
Manufacturing and warehouse automation: Improve your shop floor operations by optimizing routes for autonomous robots, equipment, and workers. AI-powered analytics help identify congestion, bottlenecks, and risks, allowing for data-driven decisions that enhance productivity and worker safety.
Retail store layout optimization: By analyzing customer navigation throughout your store, you can reconfigure aisles and product placement to maximize sales and revenue. Multi-camera tracking helps identify bottlenecks, track customer behavior, and simulate layout scenarios to predict impact on sales and customer experience.
In-hospital patient care: Access continuous monitoring of patients in hospitals for an added layer of safety and security. The solution enables real-time alerts and notifications, ensuring prompt attention and care when it’s needed.
Fusing Real-Time AI With Digital Twins
In this demo, a digital twin of a warehouse built using the NVIDIA Omniverse platform operates as a simulation environment for dozens of digital workers and multiple autonomous robots. Integrated into the Mega virtual factory workflow, the multi-camera tracking workflow enabled the creation of a centralized map of the entire warehouse with 100 simulated cameras, providing real-time awareness of the physical space.
Accelerate the development of your multi-camera tracking AI application.