How Artificial Intelligence is Reducing Baggage Mishandling

How Artificial Intelligence is Reducing Baggage Mishandling

Naveen Joshi 06/12/2021
How Artificial Intelligence is Reducing Baggage Mishandling

Modern airports are using artificial intelligence (AI) to avoid mishandling baggage.

The idea is to use AI for end-to-end tracking of baggage and planning optimized luggage routes, right from the time a passenger gets on-board, till she collects the baggage at the destination.

Nearly all sectors of the economy - education, healthcare, finance, travel, and even the public sector - are applying technology to optimize their functioning. Technologies like AI are digitizing areas that were once thought capable of manual operations alone. Airports and airline companies are exploring the benefits of integrating technology into their operations and services. Online check-ins, flight tracking, delay updates, and real-time on flight navigation are some of the applications where technology is used in the travel industry today. A new addition to this list is the employment of AI to avoid baggage mishandling.

What Are The Problems Encountered With Baggage Mishandling?


Losing, damaging, or getting a delayed delivery of baggage in transit is a nightmare for most travelers. With an increase in the number of flyers across the world, airport authorities are experiencing an inconvenience in keeping track of and managing the exceptionally large count of luggage. Along with this, both the airport and the airlines have to monitor the real-time status of passenger baggage before, after, and on the flight. Besides, the expenditure incurred on baggage processing and transportation by aviation companies and airport authorities is in the order of billions of dollars.

How AI Can Avoid Baggage Mishandling?


Employing AI to resolve the baggage mishandling problems mentioned above can happen as follows:

1. Faster Baggage Tags

Airport authorities save passenger data during check-in sessions. The bags, while being weighed, are assigned a bag tag with the passenger details on it. The tags, powered with AI, employ an RFID tagging system. The information from the airport database is then coupled with the one in the bag tags to track a passenger’s luggage.

2. Advanced Two Way Communication

Baggage Handling Systems (BHS) have predefined message formats based on the IATA rules. These messages, which are used to convey the status of the baggage to the passenger, however, work on the push technology, following a one-way route from the back-end server to the user. With AI enabled computers, passengers can have two-way communication via these messages, allowing precise communication without any scope for errors or misunderstanding.

3. Improved Floor Plans

Image recognition and surveillance tapes from the closed-circuit television (CCTV) cameras are used to study the interiors of the airport. AI algorithms can generate shorter and more optimized paths for baggage transportation within the airport premises.

4. Smarter Pattern Recognition

Pattern learning algorithms are applied on previous records of baggage mishandling. The study gives an insight into the principal causes of baggage loss and damage. Besides, the study allows finding appropriate remedies to reduce similar problems in the future.

5. Strong Baggage Claim

At the baggage carousel, mechanized robots are employed to automate the process of baggage claim. These bots can read the bag tags and after comparing them with the information in the database, match the passenger with their luggage.

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Naveen Joshi

Tech Expert

Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.

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