Context with Problem Statement:
In the bustling environment of one of India’s busiest airports, managing the vast stream of passenger luggage is a daunting task. The traditional manual system for processing bag tags is fraught with the potential for delays, errors, and inefficiencies. An automated solution is not just a convenience but a necessity to cope with the growing volume of passengers and their expectations for seamless travel.
Approach / Solution:
To address this critical need, we have developed an OCR-based baggage handling system tailored for the dynamic airport environment. The system utilizes sophisticated machine learning algorithms to recognize and process bag tag information from a diverse array of airline formats. It can intelligently differentiate between text and barcodes, even in low-light conditions or when tags are damaged or worn.
The solution encompasses several modules: image capture, data extraction, data validation, and integration with the airport’s baggage management system. The image capture module uses high-resolution cameras to take clear images of bag tags. The data extraction module, powered by Google’s OCR Engine, interprets the images and extracts relevant information such as flight details, passenger names, and destination codes.
Once the data is extracted, the validation module cross-references it with the airport’s flight database to ensure accuracy. The final step is seamless integration, where the extracted data is inputted to the airport’s baggage handling system, enabling real-time tracking of luggage throughout the airport.
Impact on Business Process:
The implementation of this OCR system revolutionizes the airport’s baggage handling process in several ways:
- Speed and Accuracy: The system drastically reduces the time taken to process each bag, from minutes to mere seconds, while also improving accuracy to near-perfect levels.
- Cost Efficiency: By automating data entry, the system reduces labor costs and the financial impact associated with baggage mishandling.
- Scalability: As passenger traffic grows, the system can easily scale to meet increased demand without a corresponding increase in errors or processing time.
- Passenger Satisfaction: Faster processing and accurate baggage handling results in fewer lost luggage incidents, shorter waiting times, and a better overall customer experience.
- Operational Analytics: The data captured by the system provides valuable insights into baggage flow, peak times, and operational bottlenecks, enabling continuous improvement.
Conclusion:
The deployment of our OCR baggage handling system is a game-changer for airport operations. It not only streamlines the baggage handling process but also provides a platform for analytics and future enhancements. This technological leap underscores our commitment to innovation and excellence in the aviation industry, setting new benchmarks for operational efficiency and passenger service.
At CoReCo Technologies, our focus lies in utilizing technology to solve real-world issues and add value to end-users. Throughout the solutioning phase, our primary focus remains on problem-solving rather than the technology itself. For us, technology is a means to an end, not the final goal. Additionally, we go the extra mile to find optimal solutions within the given constraints such as cost and time.
As of January 2024, we have served 60+ global customers with 100+ digital transformation projects successfully executed. For more details, please visit us at www.corecotechnologies.com or write to us at [email protected].
Umaima Surti
Solution Architect
CoReCo Technologies Private Limited
