Camera inspection system Bag-UX

3Dmulti-cameraAI

Overview
Bag-UX inspects individual bags by shape and hygiene prior to introduction into the baggage handling system (BHS). Using Daifuku Airport Technologies' Self Bag Drop vision platform combined with a deep learning AI model, Bag-UX analyses bags in motion on a collector conveyor to identify items or conditions that could cause downstream disruptions. Optional peripherals capture bag-tag data and additional images.

Features

• 10" touch screen user interface
• Flip-out maintenance panel for quick access
• Built-in maintenance application
• Modern, compact enclosure
• Adjustable sensor pod height
• 3D and AI sensors for orientation and dimensioning
• Dual cameras providing views towards and away from the unit

Small footprint

• Height: 1.25 – 1.72 m / 4.1 – 5.64 ft
• Width: 0.46 m / 1.51 ft
• Depth: 0.29 m / 0.95 ft

Functionality and smart design

• Imaging enables comparison of bag condition pre-departure and on arrival to support loss/damage claims
• Classification aligned with the IATA Baggage Identification Chart to improve tracking and identification
• Ability to pause the collector conveyor for manual removal or reorientation, or to redirect/automatically handle the bag
• Applicable to inbound baggage analysis to identify baggage types

Identifiable baggage issues

• Bag conveyability — orientation, position, extended handles
• Multiple bags / improper spacing
• Tray / tub detection and usage
• Upright or unstable bags
• Images for loss / damage evidence
• Bag tag presence and location*
• Detection of documents left on baggage*
• Open or spilled baggage
• IATA baggage classification type*

*Under active development with industry

Technical specifications

• Model: Bag-UX
• Brand: Daifuku Airport Technologies
• Technology: deep learning AI model, 3D sensors, AI sensors, dual cameras
• User interface: 10" touch screen
• Maintenance: flip-out maintenance panel; built-in maintenance application
• Physical dimensions: height 1.25 – 1.72 m; width 0.46 m; depth 0.29 m
• Adjustable sensor pod height
• Optional peripherals: additional cameras for bag-tag data capture and imagery
• Capabilities: bag shape and hygiene analysis; classification per IATA Baggage Identification Chart; pause or redirect collector conveyor; inbound baggage analysis
• Performance: less than 40 seconds between released bags at peak times; typical processing time per bag 20 seconds
• Operational scale: deployed on platforms processing over 18 million passengers per year
• Notes: items marked with an asterisk are under active development with industry