[App Description]
Mogo is a collectible camera app where you photograph surrounding objects with your camera and capture them like a game to complete your own Pokedex.
AI analyzes the captured objects and removes backgrounds, and successfully captured objects are saved to your device along with their rarity, date, and location.
[Key Features]
Object photography using the camera and AI classification
Game-style capture animations
5-level rarity system
Pokedex to view your collected objects
Exploration history including date and location
Rarity statistics and collection achievements
Data backup, restore, and reset
Use immediately without registration
[APIs and AI Used]
1. MobileNet V1: Classifies captured images on the device.
https://www.tensorflow.org/lite/models/image_classification/overview
2. ML Kit Subject Segmentation: Removes the background of captured objects. https://developers.google.com/ml-kit/vision/subject-segmentation
3. ML Kit On-Device Translation: Converts English object names found by AI into Korean.
https://developers.google.com/ml-kit/language/translation
4. BigDataCloud: Optionally converts current coordinates into city names.
https://www.bigdatacloud.com/free-api/free-reverse-geocode-to-city-api
5. Firebase Analytics: Processes statistics for service usage and quality improvement.
6. Google AdMob: Provides banner and reward ads for capture retries.
[Note]
Camera permission is mandatory, while location permission is optional.
AI results may not be accurate depending on the shooting environment.
Records are stored on the device, so backing up before deleting the app is recommended.
Inquiries: dev.jcahn@gmail.com
A new collecting experience of gathering the world with a camera