Realtime Object Detection App

🎯 About

Welcome to our cutting-edge Real-Time Object Detection app, built using Flutter and TensorFlow Lite (TFLite). This application is designed to provide an intuitive and efficient way to detect objects in real-time using your device's camera. Whether you are a developer, a tech enthusiast, or simply curious about AI-powered applications, our app offers a seamless and interactive experience in exploring the potential of object detection.

🚀 Technologies

The following tools were used in this project:

• Tflite
• Flutter

🏁 Starting

# Clone this project
$ git clone https://github.com/mohitj2401/realtime-object-detection

# Access
$ cd realtime-object-detection

# Install dependencies
$ flutter pub get

# Run
$ flutter run

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⚠️ Android Gradle & tflite_v2 Namespace Issue

If you see an error like:

Namespace not specified. Specify a namespace in the module's build file: .../tflite_v2-1.0.0/android/build.gradle

Solution

1. Go to: C:\Users\<your-username>\AppData\Local\Pub\Cache\hosted\pub.dev\tflite_v2-1.0.0\android\build.gradle
2. Add this line inside the android { ... } block:

   namespace 'sq.flutter.tflite'

3. Save the file and re-run:

   flutter clean
   flutter pub get
   flutter run

Note: This is a temporary fix. If you update or clean your pub cache, you may need to repeat this step. For a permanent solution, fork the package or ask the maintainer to add the namespace property.

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💡 Troubleshooting

• Ensure your Android emulator or device is running and accessible.
• If you see Gradle or Java compatibility errors, update your Gradle version in android/gradle/wrapper/gradle-wrapper.properties and plugin versions in android/settings.gradle.
• For camera permission issues, check your AndroidManifest.xml.

📁 Assets

• Place your TFLite model and labelmap in the assets/ directory.
• Ensure pubspec.yaml includes:

  assets:
    - assets/

License

This project is for educational purposes.