People Flow Management with Vision AI
Our people flow solution leverages cutting-edge computer vision technology along with existing CCTV systems to track crowd density in real-time. Harness the power of enterprise-grade vision AI to streamline people flow and ensure safe, secure environments in airports, hospitals, and other high-traffic areas.
Trusted by Leading Enterprises
Intelligent Video Surveillance for Crowd Formation, Dispersion and Anomalies
Use scalable Vision AI to gather crowd data, including detecting activity patterns, the distribution of people in various areas, throughput rates, and local densities. Track queue metrics such as queue length, people flow, average wait time, social distancing and more, helping you with crowd management and resource allocation.
Streamlined Passenger Flow in Airports
Awareye helps airports manage passenger flow, reducing bottlenecks at security checkpoints and departure gates.
Detect congestion in real-time to redirect traffic
Improve passenger experience and enhance operational efficiency
Crowd Control in Hospitals
Ensure compliance with distancing norms and manage crowds in high-risk hospital areas.
Real-time patient flow monitoring
Queue management and wait time prediction
Powered by Advanced Vision AI Models
Leverage powerful models like YOLO, DeepStream SDK, and PyTorch to ensure high-precision object detection and tracking. We offer a streamlined solution to jumpstart your development, saving you months of effort by providing a ready-to-use framework. This workflow includes a validated pathway to production, ensuring a smoother transition.Built on a scalable architecture, it integrates effortlessly with legacy camera setups, or can be deployed on low-cost commodity cameras. Awareye utilizes IoU (Intersection over Union) and class confidence scores to provide instant insights into operations, detect anomalies, and respond quickly to potential issues.
Integrated with Top AI Frameworks and Technologies
PyTorch
We use PyTorch for its flexibility, extensive ecosystem, and speed, enabling us to build accurate, scalable AI models for advanced CCTV detection solutions.
YOLO
YOLO’s real-time object detection helps boost Awareye’s AI camera systems, offering lightning-fast, scalable solutions that ensure high accuracy even on minimal hardware.
DeepStream SDK
DeepStream, developed by Nvidia, is a powerful AI-based streaming analytics toolkit designed for video, image, and audio understanding.
Frequently Asked Questions
Find answers to the most common questions about our platform, product features, and how we can help you deploy multi-camera visual AI.
Awareye leverages AI-driven visual analytics to monitor passenger movement throughout the airport. By analyzing data in real-time, such as queue lengths at security checkpoints or bottlenecks at boarding gates, Awareye helps operators deploy their staff or open additional lanes to minimize delays.
Yes, Awareye can be configured for hospital settings, enabling crowd control in waiting rooms, entrance lobbies, and other public spaces. It can also track PPE compliance and help enforce social distancing protocols.
Awareye is designed to be highly flexible and compatible with a wide range of cameras, from high-end surveillance equipment to more cost-effective commodity cameras, making it ideal for large venues like airports, hospitals, and retail stores. It can also be integrated with existing legacy camera systems for seamless upgrades.
Awareye AI is a complete turnkey solution, offering all the necessary hardware with flexible on-premises or cloud deployment, customized specifically for crowd control. From site surveys and camera installation to AI model customization and server integration, we handle the entire process.
Still have questions?
Click below to read our extensive FAQ page, or get in touch with our team.
News, Updates and Blogs
Stay updated with the latest developments in Vision AI, real-world applications, and industry innovations.
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Unlock smarter operations with Awareye’s AI-driven multi-camera technology. Transform your business today—contact us to learn how.
