Edge AI Diagnostics & Node Health
Real-time telemetry of compute nodes, hardware loads, IP gateway jitters, and deep learning inference metrics.
Compute Load (CPU)
--%
Memory Usage (RAM)
--%
Edge Accelerator Temp
--°C
🧠 Neural Engine Inference Telemetry
Active benchmarking of deep-learning proximity calculations.
YOLO Inference Time
18.4 ms
Geometric coordinate parse
Execution Velocity
58.2 FPS
Frames processed/second
Active Model Path
yolov8n-proximity-shield.pt
GPU Tensor Cores Active
128 / 128 (100% capacity)
Floating Intercept Relay Delay
0.45 ms (contactor limit)
🔌 Camera Gateway Network Jitters
Gateway logs, pings, and frame buffer health of active surveillance streams.
📹 Camera Node 1 (Operator Sector A)
192.168.10.45 • ONLINE
7ms
📹 Camera Node 2 (Relay Contactor B)
192.168.10.46 • ONLINE
9ms
📹 USB Test Input / Core Webcam
DEV_UVC_USB001 • ACTIVE
3ms
LIVE SYSTEM UPLINK DIAGNOSTICS • terminal_io
stream active
[23:10:01] [OK] SECURE_PLC_CONTROLLER_SYNC: Connection verified at 115200 baud.
[23:10:02] [OK] NEURAL_ENGINE_CALIBRATED: Acceleration model successfully pinned to GPU core.
[23:10:04] [OK] ESTABLISHED_CAM_STREAM: Ingest core listening on 192.168.10.45.
[23:10:05] [WARN] FRAME_BUFFER_JITTER: Latency deviation spikes up to 12ms. Restructuring buffer queues.
[23:10:07] [OK] RESOLVED_QUEUE_OVERLAY: Buffer queues aligned. Real-time stream synced.