smoking-detection-analysis

Video analytics detects smoking violations by analyzing cigarette and smoke visual cues alongside hand-to-mouth motion patterns in public area media. It processes real-time streams, images, or local video files to identify smoking behavior automatically.

To generate a structured violation alert, provide the target media for analysis and the system outputs a report containing detection regions, smoking counts, confidence scores, and alert messages. This structured output enables immediate downstream safety management action.

Yes, you can retrieve historical smoking detection reports through a cloud-based history API. The system lists past reports and formats the output as a Markdown table with clickable links for easy review of previous violation records.

Yes, smoking detection analysis supports real-time video streams, still images, and local video files as input media. It processes these formats to identify smoking behavior and generate structured violation reports for public safety management.

Yes, the system enforces mandatory open-id acquisition to authenticate and retrieve past smoking violation reports. This open-id is required for accessing the cloud-based history APIs to list and display previous detection records.

The best way to automate public safety smoking detection is using computer vision to analyze media for cigarette, smoke, and hand-to-mouth motion cues. This reduces manual observation reliance and speeds up structured violation alerting for security teams.