Kashif-E/Ar-Object-Detection

I built this app using Mlkit along with the TensorFlow Lite model for object detection, Arcore is used to place anchors to the detected objects. It's a good blend of Machine learning and Augmented reality to visualise ML information in a much better way than regular bounding boxes

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Emerging

This app helps you identify real-world objects in your surroundings and view their labels directly overlaid in your camera view, rather than on a separate screen. You simply point your device's camera at an object, and the app will detect and name it, displaying the label as if it's attached to the object itself. This is ideal for anyone who needs to quickly identify items in their environment and see that information integrated into their physical view.

No commits in the last 6 months.

Use this if you want to enhance your real-world observations with immediate, in-situ object identification and labeling.

Not ideal if you need highly precise measurements, detailed object analysis beyond simple identification, or object tracking over time.

augmented-reality visual-identification field-observation interactive-labeling situational-awareness
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 15 / 25

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37

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7

Language

Kotlin

License

Last pushed

Jul 24, 2022

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