AeRaiders | Devpost

Hash Sample of IATA 1R Data Model

Inspiration

This project was inspired by the digital transformation trends in the aviation industry, particularly the increasing use of digital systems in operational processes. We leveraged innovative solutions such as real-time tracking through IoT technology, AI-assisted photo and voice analysis for damage detection, and blockchain-based secure and transparent data management. Additionally, we aimed to utilize augmented reality (AR) technology to provide real-time information, enabling maintenance teams to work more efficiently and with fewer errors. These modern technologies aim to make ULD maintenance and damage management processes faster, more reliable, and more efficient.

What it does

This project digitizes the maintenance and damage management of Unit Load Devices (ULDs) used in air cargo. It integrates IoT sensors and AI technologies to track the real-time condition of ULDs, analyze damage levels, and automate damage reporting. By utilizing the ONE Record API, it stores, shares, and validates maintenance data, providing a centralized and transparent system for all stakeholders. It also leverages blockchain for secure, immutable record keeping and augmented reality (AR) to assist maintenance teams in performing tasks efficiently and accurately. Overall, the project enhances operational efficiency, reduces errors, and ensures better decision-making in ULD maintenance.

How we built it

We built this project by integrating advanced technologies to optimize ULD maintenance and damage management. Using the ONE Record API, we created a centralized platform to store and share ULD maintenance and damage data, ensuring seamless communication among all stakeholders. To track the real-time condition of ULDs, we deployed IoT sensors that provide continuous updates on their status. For damage assessment, we employed AI-powered image recognition to analyze photos and automatically detect and classify the damage. To secure the integrity of maintenance records, we implemented blockchain technology, ensuring that data remains tamper-proof and transparent. This combination of technologies helped us develop an efficient, reliable, and data-driven solution for ULD management.

Challenges we ran into

We faced challenges in developing the new API and integrating it with blockchain. Generating unique hashes for each transaction to ensure data integrity was a complex task. Additionally, ensuring smooth communication between the ONE Record system and blockchain required careful configuration. The process of making these two systems work seamlessly, while maintaining security and efficiency, required extensive optimization and testing.

Accomplishments that we're proud of

We are proud of successfully integrating ONE Record API with blockchain, ensuring secure and transparent data management for ULD maintenance. Our AI-driven damage assessment system, which analyzes images and detects damage with high accuracy, is another significant achievement. Additionally, we’ve implemented IoT sensors for real-time tracking, enabling immediate updates on ULD conditions. These accomplishments have improved efficiency, reduced manual errors, and streamlined the maintenance process, making ULD management more reliable and data-driven.

What we learned

Through this project, we learned that decentralization enhances security. By eliminating central points of failure with blockchain, we improved data integrity and built greater trust in the system. Using wallet-based authentication also reduced the risks of password leaks and unauthorized access, providing a more secure environment for data management. Additionally, we realized that interoperability is crucial. Achieving seamless integration between multiple ONE Record nodes required standardization to ensure smooth data flow. We also learned that ensuring compatibility between different blockchain networks and aviation systems is essential for the project’s success, as this ensures efficient communication and operation across different platforms.

What's next for AeRaiders

The next steps for this project involve further enhancing the integration between ONE Record and blockchain to ensure even faster and more efficient data synchronization. We plan to expand the use of AI for more accurate damage assessments and incorporate predictive analytics to anticipate potential maintenance needs. Additionally, we aim to integrate augmented reality (AR) features for real-time guidance and support during ULD repairs. Further scaling the system with more advanced IoT sensors and expanding the use of machine learning to improve damage detection and decision-making will also be key focus areas. Continuous user feedback and optimization will help refine the platform’s performance and ensure its long-term success.