Artificial intelligence is slowly making its way into the lost luggage area at airports. Traditionally, when luggage is lost, it takes several days or even weeks to reunite it with its owner. However, with the use of AI, locating lost luggage can now be done in a matter of hours.
Many people experience anxiety when traveling and checking their luggage as there is always a risk that their bags may be lost or delayed. This can be particularly stressful if they have important items in their luggage, such as medication, electronics, or business documents.
But now, with AI, locating lost luggage has become easier. Let’s find out how AI helps in locating lost luggage of people.
Use Case of AI in Locating Lost Luggage
A company called Lost and Found Software specializes in helping airlines and airports to manage lost and found items. The company uses a digital rolodexing system, which allows them to quickly sort and file lost luggage based on various criteria such as type, date, and location.
Moreover, Lost & Found Software has begun integrating AI into its system to boost the effectiveness of managing lost luggage. The business compares user-submitted photographs of lost things with images of items in its database using image recognition and machine learning techniques. This makes it easier to find potential matches quickly and return lost things to their owners.
The founder of Lost and Found Software, Markus Schaarschmidt says, “AI solves the problem by registering [lost items] with a picture from your cell phone or tablet and it automatically recognizes what it is. It reads text, it knows what it is, it categorizes it correctly.”
How AI Locates Lost Luggage?
Here are some ways in which AI can help in locating lost luggage.
Image Recognition
Images of misplaced luggage can be scanned by AI algorithms, which can then be compared to pictures of luggage that has already been successfully returned to its owner. To swiftly discover probable matches, the system compares similarities between the two sets of photos using pattern recognition and machine learning techniques.
Data Analysis
To help locate lost luggage, AI can analyze information from a variety of sources, including RFID tags, travel itineraries, and baggage tracking systems. For instance, AI can use the travel schedule of the traveler to locate the luggage’s last known location and follow it from there.
Natural Language Processing (NLP)
Passengers can report lost luggage and receive real-time updates on the search process with the aid of AI-powered chatbots. These chatbots employ natural language processing (NLP) to comprehend passenger inquiries, answer, and offer specialized help.
Predictive Analytics
AI can forecast the possibility of lost or delayed luggage using historical data. This shall allow airlines to take preventative action to lower the chance of such accidents.
Final Note
Locating lost luggage can be automated and streamlined with AI, which will make the process quicker and more effective. Airlines and airports will probably rely more on AI technology as it develops in order to manage lost luggage and enhance the overall travel experience for passengers.