CountFlow

コンピュータビジョンプラットフォーム

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This system enables users to perform extensive traffic studies rapidly and cost-effectively by uploading footage from any roadside or surveillance camera without requiring specialized hardware or lengthy installation processes. Its main features include support for multiple video formats up to 25GB, customizable zones for precise vehicle and pedestrian counting, automatic classification of various transportation modes, detailed temporal traffic patterns, and annotated videos with tracking data, providing valuable insights for transportation planning, traffic management, and urban development. By automating data collection and analysis, it addresses traditional problems such as high equipment costs, lengthy setup times, and limited analytic capabilities, making it ideal for transportation agencies, city planners, traffic engineers, and researchers seeking quick, accurate, and affordable traffic data.

CountFlowは次の場所にあります Computer Vision Platforms カテゴリー。

スクリーンショット

詳細

CountFlow 主な特徴

• Annotated Video
  Get the original footage with bounding boxes, track IDs, and overlay zones included.
• Draw Your Zones
  Draw lines or polygons directly on the video to set traffic counting areas.
• Interactive Charts
  View charts showing vehicle counts, types, and traffic trends over time.
• Upload Any Footage
  Upload video files in MP4, AVI, or MOV format up to 25GB easily.
• Affordable and Fast
  Save money by not buying expensive equipment and get results in just minutes instead of weeks.
• Get Reports Quickly
  Receive detailed traffic reports within minutes after uploading footage.
• No Equipment Needed
  Use any camera like CCTV, dashcam, or phone footage without needing special hardware.
• Multiple Zones Analysis
  Create and analyze many zones at the same time, such as intersections or lanes.
• Process Full-Day Recordings
  Analyze up to 24 hours of video data with detailed per-minute information.
• Automatic Vehicle Classification
  The system can automatically identify cars, trucks, buses, motorcycles, bicycles, and pedestrians.

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