NGI TRUSTVision AI
Privacy AIDeep-Learning Archive Enhancer
Smart enhancement of personal image and video archives, fully on-device.
ProgrammeNGI TRUST
DomainPrivacy AI
TypeVision AI
About This Project
Deep-Learning Archive Enhancer restores and upgrades old personal image and video archives with privacy-preserving offline AI. It uses modern restoration models to improve sharpness, colour, and facial quality while ensuring that intimate personal memories never need to leave the device.
This project reflects Sensifai's applied innovation approach, combining research-grade AI capabilities with practical product and deployment requirements.
Key Highlights
✓Up to 4x super-resolution for damaged or low-quality archived content.
✓Automatic colorization and blind face restoration for legacy media.
✓Fully offline execution to preserve user privacy and ownership of archives.
✓Open MIT-licensed components to support transparent adoption and extension.
Use Cases
This project supports several practical scenarios across research, commercialization, and deployment contexts:
- Computer vision inference in production scenarios
- On-device or edge AI for visual understanding
- Privacy AI workflow automation
- NGI TRUST innovation validation
- Cross-functional product and research collaboration
