Video Privacy Protection Solution On-App AI
### Pain Point Analysis
Key contradictions faced in the current home monitoring scenarios:
- High user demand for privacy against the necessity of video recording functionality
- Typical usage scenarios:
- Only need to record pet activities, need to block human images
- Only capture human behavior, need to blur home environment
### Solution
AI-based intelligent visual processing solutions on mobile:
1. **Real-time Target Detection**: Accurately identify specific objects in the footage
2. **Intelligent Image Processing**: Retain/process different areas as needed
3. **Video Synthesis Output**: Generate video streams that meet privacy requirements
### Core Advantages
- **Frame-by-frame Intelligent Analysis**: Target detection algorithm based on deep learning to detect video subjects frame by frame;
- **Intelligent Processing**: Area intelligent segmentation technology, fully automated without manual intervention;
- **Efficient Computing**: Adapted to mainstream mobile computing capabilities;
### Application Scenarios
| Scenario | Example | Function Overview |
| ------------ | -------------------- | ------------------------------------------------ |
| **Home** | Pet Monitoring | Tracking pets, blurring human images |
| | Elderly Care | Monitoring activities, blurring care scenes |
| | Baby Monitor | Recording behavior, blurring background |
| **Business** | Smart Meeting Room | Tracking speakers, blurring screen content |
| | Retail Analysis | Tracking customer flow, blurring cash register |
| | Equipment Inspection | Monitoring machines, blurring sensitive areas |
| **Public** | Community Security | Identifying strangers, blurring resident windows |
| | Shared Spaces | Usage statistics, blurring personal items |
| | Smart Access Control | Face recognition, blurring passersby |
