AI Based Tag-less Baggage Handling
AVIATION
Leading Airport in India
AI platform for missing baggage management.
Objectives
Airports needed a reliable system to manage tag-less or missing baggage efficiently. Manual tracking using registers and spreadsheets was slow, error-prone, and difficult to scale. The objective was to digitize the entire process of capturing, tracking, and validating missing baggage. The solution needed to improve accuracy, retrieval speed, and operational efficiency.
Solutions
We developed an AI-enabled digital platform to manage tag-less baggage across airport operations. The system allows ground staff to capture baggage details including images, physical attributes, location, and timestamps using mobile and desktop interfaces. AI and OCR technologies automatically extract and structure identifiable information from baggage images and related documents. The platform securely stores all captured data in a centralized repository for easy retrieval. Intelligent search and matching algorithms help staff quickly match passenger-reported baggage details with stored baggage records. The system includes validation workflows to ensure proper verification before baggage release. Real-time dashboards provide operational visibility to airport authorities. The platform integrates seamlessly into airport baggage handling workflows, significantly improving efficiency and accuracy.
Benefits
- Automated baggage data capture
- Improved baggage data capture accuracy by 85% using AI automation.
- Faster baggage identification
- Reduced missing baggage identification time by 60–70% across operations.
- Accurate baggage matching
- Improved passenger baggage matching reliability and reduced errors.
- Improved traceability tracking
- Enabled complete digital audit trail of baggage lifecycle and custody.
- Reduced manual dependency
- Eliminated manual registers and spreadsheets for baggage management.
- AI IMAGE RECOGNITION
- OCR DATA EXTRACTION
- BAGGAGE TRACKING PLATFORM