| Row ID | Full name in Chinese/中文全名 | Full name in English/英文全名 | Gender/性別 | Current Year of Study/目前就讀的年級 |
|---|---|---|---|---|
| 1 | 梁竣皓 | LEUNG Chun Ho | Male/男性 | Grade 9 (Secondary 3)/中學九年級（中三） |
Many students dislike their school ID photos, calling them "ugly." This affects their confidence and willingness to use the card. This impacts daily life at school because student IDs are essential for access and identification. If students avoid using them due to poor photos, school security and efficiency suffer. They might be late to class because they don't want to show their ID, or they might feel self-conscious and less engaged in school activities. This seemingly small issue can have a surprisingly negative impact on a student's overall experience and sense of belonging.
To address the issue of disliked school ID photos, an AI-driven solution can be implemented. AI-powered photo editing enhances images while maintaining likeness, and students can personalize designs within guidelines. This involves using AI algorithms to adjust lighting, remove blemishes, and subtly improve facial features, trained on image datasets. Computational thinking principles decompose the problem into photo enhancement, design customization, and compliance checking, using pattern recognition to identify inappropriate content and creating algorithms for automated checks. Computer programming is used to develop software incorporating AI algorithms for photo editing and compliance, a user interface for customization, and a database for storing student information and ID designs.
The proposed solution is optimal because it directly addresses the core problem: students disliking their ID photos and avoiding their use. By using AI to enhance photos while maintaining likeness, it increases student satisfaction and encourages them to carry and use their IDs. The customization aspect further boosts engagement and pride in their IDs.
Crucially, the solution balances creativity with security and school standards. AI-powered compliance checks ensure designs meet requirements, and the streamlined approval process reduces administrative workload. Furthermore, the emphasis on privacy and security, with local processing or encrypted data, ensures compliance with privacy laws.
Alternative solutions like simply retaking photos or having stricter design rules wouldn't address the underlying issue of student dissatisfaction or the potential for creative expression. This AI-driven approach offers a comprehensive solution that improves student experience, enhances security, and streamlines administrative processes, making it the most effective option.
Personal Information Collection Statement (PICS)/收集個人資料聲明:
1. The personal data collected in this form will be used for activity-organizing, record keeping and reporting only. The collected personal data will be purged within 6 years after the event.
2. Please note that it is obligatory to provide the personal data required.
3. Your personal data collected will be kept by the LTTC and will not be transferred to outside parties.
4. You have the right to request access to and correction of information held by us about you. If you wish to access or correct your personal data, please contact our staff at lttc@eduhk.hk.
5. The University’s Privacy Policy Statement can be access at https://www.eduhk.hk/en/privacy-policy.
- I have read and agree to the competition rules and privacy policy/我已閱讀並同意比賽規則和隱私權政策。