In September 2021, a system was introduced in Korea to send missing person notification text to citizens when high-risk individuals, such as children, teenagers, disabled people, and dementia patients, go missing. This messaging system has proven effective, significantly reducing the average time to find missing persons in high-risk groups from 34 hours to 3 hours and 10 minutes through the sightings of the citizens.
However, the process for transmission in this system is complex, involving passage through five organizations. Also, because they are text-based, missing person alert texts are easily forgotten by citizens and their use is limited by citizen fatigue.
Our team's app, "MissingYou", wants to help the reporter easily register a missing person report and ask as many people for help as soon as possible.
Leveraging the "Picture Superiority Effect," which suggests that visual information is easier to recognize and remember, the app is designed with a photo-oriented reporting system. The AI Image Generator can generate clothing images based on the provided information. Additionally, we provides location-based missing person reports and calculates the match rate between the sighting photos and the missing persons’ photos. Unlike one-way communication through existing systems, the app allows witnesses to check updates on the missing status through witness comments.
With "MissingYou", we want to expand beyond the existing high-risk missing persons ‘missing person notification text’ providing various types of missing reports and encouraging active sighting to involve everyone in creating a safe and peaceful community.
Goal 16: Peace, Justice and Strong Institutions
- Click here to download an APK file.
- Install the "app-release.apk" file on your android device.
Page | Explanation |
Log in through Google login and use MissingYou. |
You can check the missing person reports around you.
You can write a missing person report by clicking the 'Report' floating button on the main page.
You can check the details of the report and the witness comments on the report.
Name | 김희서 (Heeseo Kim) |
이주은 (Jueun Lee) |
이혜린 (Hyerin Lee) |
최예나 (Yena Choi) |
---|---|---|---|---|
Role | - UI Design (Main Page, Report Registration Page, Witness Comment Registration Page) - Implement Google Map API (Google Map Widget, Geocoding) - Implement API Communication: Main Page, Report Registration Page, Witness Comment Registration Page, My Page, Bookmark) |
- Deploy spring server with GCP Virtual Machine - Manage MySql DB with GCP SQL - Server APIs |
- Deploy FastAPI with GCP virtual machine - Calculate similarity between faces - Generate clothing image - Train models to face detection and verification |
- UI Design (Report Detail Page, Report Comment Page, My Page, Login Page) - Implement Google Map API (Google Map Widget) - Implement Google Login |
GitHub Repository |