Challenge Faced
Manual CCTV review was too slow for real-time smoking enforcement and incident proof collection.
Aerospace and logistics · Safety Video Analytics · Singapore
Aerospace site smoking detection with existing CCTV feeds
An anonymized aerospace and logistics case study for AI smoking detection, existing CCTV integration, real-time video analysis, automated incident reports, email alerts, and video attachment evidence.
CCTV integrationSmoking detectionVideo evidenceEmail alertsIncident reports
Solution Provided
Qbasis supported AI video analytics on existing camera feeds with automated incident reporting and email evidence delivery.
Operational outcomes
What the deployment improved
Existing CCTV feeds reused
AI-assisted smoking incident detection
Automated reports with evidence
Faster enforcement review workflow
An aerospace and logistics site needed a way to detect smoking incidents using existing camera infrastructure and generate evidence for enforcement review.
Challenge Faced
Manual CCTV review was not practical for real-time enforcement. The site needed automated detection, incident proof, and report delivery to relevant parties without replacing the full camera environment.
Solution Provided
Qbasis supported AI-based smoking detection integrated with existing CCTV feeds. The workflow can analyze video for smoking patterns, generate incident reports, attach video evidence, and send email notifications for action and validation.
Operational Outcomes
- Drop-in deployment using existing cameras
- AI video analysis for smoking detection
- Automated incident report generation
- Email notification with video attachment evidence
- Faster review and enforcement workflow