Vision Service now Supports Stream Video Analysis

Oracle Cloud Infrastructure introduces Stream Video Analysis, a fully managed, GPU-accelerated real-time video analytics service. Designed for low-latency, high-performance processing, the service means enterprises can gain immediate insights from live RTSP video streams through advanced AI-powered analytics.

Key Features:

• Object Detection: Detects various objects such as people and vehicles, providing accurate bounding box outputs for easy identification.
• Face Detection: Detects faces in real-time, providing bounding boxes to pinpoint exact locations.
• Object Tracking: The Object Tracking feature lets you track detected objects (currently limited to faces) across video frames. By assigning a unique identifier (tracking ID) to each face, the system maintains continuity of identity as a person moves through the camera view. In case of Face Tracking, both single camera tracking and multicamera tracking are supported.
  • Single Camera Tracking : Tracks faces within the bounds of a single camera stream. This gives accurate identification and tracking of individuals as they move through the field of view of a specific camera.
  • Multicamera Tracking : Multicamera tracking means you can identify consistently across several camera streams. Cameras can be logically grouped so that a face detected in one stream can be recognized in another stream.

For more information on Vision, see the documentation.