PRAHARI V3 SYSTEM DIAGNOSTICS & TELEMETRY HEALTH
Real-time verification of all 12 pipeline stages across Edge, AI, Backend, S3, and Frontend.
CONNECTED
BACKEND SERVER
SIMULATED ACTIVE
ARDUINO NANO MCU
STANDBY
MOBILE CAMERA NODE (PRIMARY)
OPTIONAL STANDBY
ESP32-CAM STREAM (OPTIONAL)
HARDWARE READY
2× BTS7960 MOTOR DRIVERS
STANDBY
PHYSICAL RC RECEIVER
IN-MEMORY FALLBACK
DATABASE (MONGODB)
DISCONNECTED
SOCKET.IO WEBSOCKET
OPERATIONAL
DIFFERENTIAL DRIVE ENGINE
OFFLINE
AI PERCEPTION SERVICE
ONLINE
YOLO VEHICLE DETECTOR
ACTIVE
OBJECT TRACKER
ONLINE
ANPR & OCR ENGINE
FALLBACK MODE
AWS S3 STORAGE
CAMERA INGESTION
Stream Status:OFFLINE
Resolution:1280x720
Ingestion FPS:30 FPS
AI INFERENCE METRICS
Frames Received:120
Frames Processed:15
Inference Latency:~12ms
TELEMETRY TIMESTAMPS
Last Heartbeat:N/A
Last Telemetry:N/A
Last Detection:N/A