{
  "id": 690927,
  "title": "Vision-Link AI: Real-time Accident Detection and Safety Analysis using YOLO11",
  "content": "<p>‎Overview: This report presents Vision-Link AI, a deep learning framework developed for the ACCIDENT @ CVPR 2026 competition. By leveraging the YOLO11 architecture, we achieved a remarkable processing speed of 7.0ms per frame. Our model demonstrates high reliability in detecting vehicle collisions across diverse environments, including night-time and high-speed highway scenarios.\n‎\n‎Technical Paper:\n‎You can access our full 5-page research report via the Google Drive link in the attachments below.</p>\n<p><a href=\"https://drive.google.com/file/d/1I25L5NmeiedFCQ8T7HHrRj84SiPsHtVA/view?usp=drivesdk\" target=\"_blank\">https://drive.google.com/file/d/1I25L5NmeiedFCQ8T7HHrRj84SiPsHtVA/view?usp=drivesdk</a></p>",
  "comments": [],
  "comment_count": 0,
  "messages": [
    {
      "id": 3441030,
      "postDate": "2026-04-13T12:04:37.120Z",
      "content": "<p>‎Overview: This report presents Vision-Link AI, a deep learning framework developed for the ACCIDENT @ CVPR 2026 competition. By leveraging the YOLO11 architecture, we achieved a remarkable processing speed of 7.0ms per frame. Our model demonstrates high reliability in detecting vehicle collisions across diverse environments, including night-time and high-speed highway scenarios.\n‎\n‎Technical Paper:\n‎You can access our full 5-page research report via the Google Drive link in the attachments below.</p>\n<p><a href=\"https://drive.google.com/file/d/1I25L5NmeiedFCQ8T7HHrRj84SiPsHtVA/view?usp=drivesdk\" target=\"_blank\">https://drive.google.com/file/d/1I25L5NmeiedFCQ8T7HHrRj84SiPsHtVA/view?usp=drivesdk</a></p>",
      "rawMarkdown": "‎Overview: This report presents Vision-Link AI, a deep learning framework developed for the ACCIDENT @ CVPR 2026 competition. By leveraging the YOLO11 architecture, we achieved a remarkable processing speed of 7.0ms per frame. Our model demonstrates high reliability in detecting vehicle collisions across diverse environments, including night-time and high-speed highway scenarios.\n‎\n‎Technical Paper:\n‎You can access our full 5-page research report via the Google Drive link in the attachments below.\n\nhttps://drive.google.com/file/d/1I25L5NmeiedFCQ8T7HHrRj84SiPsHtVA/view?usp=drivesdk"
    }
  ],
  "complete": true,
  "source": "live",
  "fetched_at": "2026-10-18T13:51:50Z",
  "competition_id": 127283,
  "competition_slug": "accident",
  "team_id": 15438932,
  "solution_url": ""
}