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Sighthound Video

Sighthound Video is a video analytics software for CCTV and IP cameras. It uses deep learning for real-time object and people detection, tracking, license plate recognition, and more. Ideal for security, retail, smart cities, industrial, and transportation.

What is Sighthound Video?

Sighthound Video is an advanced video analytics platform designed specifically for security, surveillance, and monitoring applications. It leverages cutting-edge deep learning algorithms to provide real-time detection, tracking, alerting, search, and insights from IP cameras and CCTV networks.

Key features include:

  • Accurate detection and tracking of people and vehicles
  • Automated license plate recognition
  • Real-time alerts for user-defined events like loitering, perimeter crossing, camera occlusion, etc.
  • Powerful search to quickly find people, vehicles, objects, and activities
  • Heatmaps and data analytics for usage patterns and trends
  • Easy integration with new and existing camera networks
  • On-premise or cloud-based deployment options

Sighthound is designed to complement video management systems. It automates monitoring tasks and makes investigation efficient. Typical applications include public safety, critical infrastructure protection, retail analytics, smart cities, transportation hubs, parking security, warehousing, and manufacturing.

Unlike consumer-grade apps, Sighthound leverages AI specifically tailored for top-down CCTV footage. It can handle tough variables like lighting changes, shadows, occlusion, perspective distortion etc. Performance improves over time through automatic model updates.

Sighthound offers enterprise-grade capabilities tailored for mission-critical systems. Overall it provides a powerful video analytics engine to automate security operations, drive business intelligence, and gain value from camera networks.

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