Smart Tech for Safer Airport Luggage Handling

Airports are bustling hubs where luggage often gets lost or damaged. A cutting-edge system aims to transform this experience by leveraging smart technology to identify potential issues with bags before they escalate.

Key Focus Areas

The system concentrates on three critical aspects:

• Bags
• Handles
• Straps

Additionally, it detects damage such as cracks.

The Technology Behind the System

The core technology is YOLOv8, trained on a vast collection of luggage images. The results are impressive:

• Excels at identifying bags and handles
• Struggles slightly with straps and cracks
• A significant advancement overall

Enhanced Intelligence with GPT-4 Vision

The system goes beyond mere detection. It employs GPT-4 Vision to interpret and describe issues clearly. For instance:

• Describes cracks in plain language
• Flags unusual occurrences

This capability enhances its practicality in real-world scenarios.

Speed and Efficiency

Speed is crucial in fast-moving airport environments. The system processes images rapidly, keeping pace with conveyor belts. It operates efficiently on powerful GPUs, ensuring smooth performance.

Room for Improvement

Despite its advancements, there's still room for enhancement:

• Needs higher-quality images for better learning
• Requires fine-tuning to improve detection of straps and cracks

Overall, this innovation marks a promising stride towards smarter luggage handling.