Pavilion

Inspiration

This app is a user friendly app used for the detection of objects be it from a document or from an image. An app made by the concept of Flutter and Machine Learning.

What it do

First the user needs to click an image of the required or can be taken from the gallery. Followed by the detection of object or body pose and mask. It also enables user to the app for Real-time detection. In real time detection it specifies whether it is a suitcase, or an oven or laptop or even a television.

How we built it

This app is divided into two basic parts:

Real-time Detection Classic Detection

What we learned

This is a camera app that can detect objects either real-time (by turning on the camera of our mobile device), click a photo with the rear camera or load an image from our gallery. It draws a box around the detected object with the name of the detected object and it's confidence level.

The Real-time detection works on the MobileNet SSD model while the Classic detection works on both the MobileNet SSD model and the YoloV2 model. Either model can be selected as desired.

The model files are downloaded via Gradle scripts when you build and run. You don't need to do any steps to download TFLite models into the project explicitly.

Application can run either on device or emulator.