Based on the first 30 survey responses, the following features have been identified as priorities for future development of LAFAEK AI, these results are from 28-31/09/2024:
Handling Timor-Leste Plate Numbers: 1.
- The system must be able to handle Timor-Leste's license plate number formats, which range from numeric (0000-9999) to alphanumeric (A0000-A9999). Upgrading the system to accommodate these specific formats is essential for accurate detection and identification.
Motorcycle Type Recognition:.
- There is a need to improve the system's ability to distinguish different types of motorcycles, such as large motorcycles, small motorcycles, and other variations. This requires further research and development to refine the AI LAFAEK recognition algorithm.
Improving Camera Efficiency in Dili:.
- Additional research is needed to evaluate and improve the efficiency of cameras around Dili. This includes improving the clarity and accuracy of motorcycle and license plate detection to ensure the system functions effectively in various environments.
Real-time Alerts for Authorities:.
- The system should be able to store reports from users and notify the relevant authorities if the reported motorcycle is detected at any location in the future. Implementing this feature will ensure real-time alerts, increasing the chances of recovering the stolen motorcycle.
Improving System Speed and Reliability:.
- Given the importance of AI LAFAEK, it is imperative to make the system faster and more reliable. Continuous improvement is needed to ensure that the system can be implemented effectively and provide timely assistance to users.
These responses highlight key areas for AI LAFAEK to focus on going forward. Our team will treat this feedback as our future work, ensuring that the system evolves to better meet the needs of the people of Timor-Leste.
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