AI Computer Vision Perimeter Security
Edge-computing physical perimeter security and unauthorized intrusion detection powered by NVIDIA Jetson and computer vision models.
Python
NVIDIA Jetson
TensorRT
OpenCV
MQTT
Docker
PyTorch
01 // Problem & Threat Landscape
Traditional CCTV systems rely on constant human monitoring or trigger frequent false alarms from environmental disturbances.
02 // System Architecture & Data Flow
[TACTICAL BLUEPRINT]
RTSP CAMERA STREAMS -> ON-DEVICE EDGE INFERENCE (TensorRT / YOLO) -> SPATIAL TRACKING -> THREAT CLASSIFIER -> SECURE ENCRYPTED ALERT DISPATCH
03 // Security Considerations & Controls
On-device encrypted storage, hardware root-of-trust, TLS 1.3 encrypted telemetry, and physical enclosure tamper detection.
04 // Quantitative Results & Impact
Sub-200ms real-time intrusion classification, achieving 92% reduction in false alarms across secured physical perimeters.