Edge AI
TL;DR: Edge AI is the use of artificial intelligence that runs directly on local devices, allowing real-time processing without depending on the cloud.
What is Edge AI?
Edge AI refers to AI models and analytics that operate on devices located at the network edge, such as cameras, sensors, access controllers, or on-site gateways. Instead of sending data to the cloud for processing, Edge AI analyzes information locally, which reduces latency, improves reliability, and allows faster decision-making during critical events. This approach is widely used in security systems to enable instant detections, alerts, and automation.
Why Edge AI Matters in Security
- Provides real-time detection without cloud delays
- Continues working even during internet outages
- Enhances privacy by processing sensitive data locally
- Reduces bandwidth usage and cloud dependency
- Enables advanced analytics on cameras and edge devices
Common Use Cases
- On-camera object and person detection
- Real-time license plate recognition
- Intrusion detection and perimeter monitoring
- PPE compliance monitoring in industrial sites
- Local event filtering before sending alerts to the cloud
Conclusion
Edge AI brings powerful, low-latency intelligence directly to cameras and on-site hardware. It improves reliability, privacy, and response times, making it a critical component of modern security systems.