<h2 id="Video Subject Highlighting Solution">Video Subject Highlighting Solution <span className="tag_h2">On-App AI</span></h2>

### Pain Point Analysis

The current monitoring system has notable issues:

- **Low Subject Proportion**: Wide-angle lenses combined with high placement result in insufficient subject proportion in the frame.
- **Difficulty in Detail Recognition**: Key subjects are too small to be clearly identified.

<img alt="Original Video" src="https://images.tuyacn.com/rms-static/6221adb0-15df-11f0-9f57-5d628208d2a7-1744270961675.png?tyName=original_video_pic1.png" width="250">

### Solution

1. **Target Detection**: Real-time recognition of video subjects using mobile AI.
2. **Smart Zoom**: Adaptive enlargement of target areas through image algorithms.
3. **Video Processing**: Producing optimized videos after encoding and packaging.

<img alt="Subject Highlighted Video" src="https://images.tuyacn.com/rms-static/73939ef0-15df-11f0-9f57-5d628208d2a7-1744270990943.png?tyName=original_video_pic2.png" width="250">

### Core Advantages

- **Precise Focus**: Automatic identification and highlighting of video subjects.
- **Intelligent Processing**: Fully automated process with no need for manual intervention.
- **Efficient Computation**: Compatible with mainstream mobile computing capabilities.

### Application Scenarios

| Scenario Type      | Typical Application          |
| ------------------ | ---------------------------- |
| Home Monitoring    | Baby care/Pet surveillance   |
| Outdoor Recording  | Bird feeder/Hunting camera   |
| Nature Observation | Sunrise and sunset recording |
