The Problem with Traditional Home Security
Conventional security cameras are passive, only recording footage for after-the-fact review. In the critical moments following a break-in or package theft, every second counts. Homeowners need immediate notification and evidence to take action and prevent loss.
The MaViS Solution
The Machine Vision Security (MaViS) system solves this problem by combining state-of-the-art deep learning, edge computing, and cloud connectivity:
- 24/7 Active Monitoring: Intelligent video analytics continuously scans for people on your property.
- Real-Time Alerts: Instant notifications with images and video the moment a person is detected.
- Edge AI Processing: Analyzing video directly on the camera enables fast, reliable, and private threat detection.
- Cloud Integration: Remote monitoring and secure cloud storage powered by Amazon Web Services.
Cutting-Edge Technology
Under the hood, MaViS leverages the latest advancements in AI and edge computing:
- NVIDIA Jetson Nano: Powerful GPU-accelerated edge device for running deep neural networks.
- NVIDIA DeepStream SDK: Optimized framework for real-time video analytics on Jetson.
- ResNet-10 CNN: Efficient deep learning model for accurate person detection.
- Amazon Web Services: Serverless cloud platform for scalable storage, compute and messaging.
Trusted & Open Source
Open Source
Code available on GitHub for developers to adapt and extend to new applications.
View On GitHubThe Future of Home Security
MaViS offers a glimpse into the vast potential of AI to create safer, smarter homes and communities. It lays the foundation for future advancements in edge AI for home security, such as:
- Person re-identification to recognize familiar faces and reduce false alarms.
- Package delivery alerts to prevent theft.
- Multi-camera support for full property coverage.
- Integration with smart home systems for automated security responses.
I'm excited to see how the open source community builds upon MaViS to make our homes and neighborhoods safer.