Dashboard Overview

Real-time edge telemetry, automated vision inference, and security alerts

4 Channels Configured Inference: -- ms
Live Camera Feed
CAM-01 CAM-02 CAM-03 CAM-04
CAM-01 // MAIN ENTRANCE REQUEST 1080P • 60 FPS
REC 00:14:32
SURVEILLANCE STREAM READY
RTSP / WebRTC Video Feed Container Active
ENC: H.265 BITRATE: 4.2 Mbps LATENCY: 18ms
2026-08-27 11:45:00 UTC
+8% vs avg
People Count
0
Zone occupancy normal
Action Required
Fights Detected
0
Confirmed incidents in 24 hours
Sanitation
Garbage Detected
0
Trash / debris hotspots
⚠
Safety
Fallen Persons
0
Confirmed person-down events
▣
Compliance
Mobile Phones
0
Phone-use detections
!
Critical
Accidents
0
Traffic and site incidents
Live Monitoring
Active Alerts
0
High-priority dispatches
Recent Detections
Live AI event stream classified by neural visual models

Live Feed Controls

Real-time optical feed control, PTZ adjustment, and capture stream parameters

MAIN FEED // ULTRA-HD OPTICAL STREAM H.265 RTSP // AUTO-EXPOSURE ON
LIVE STANDBY
BACKEND FEED STREAMING PORT READY
Connect RTSP server, OpenCV VideoCapture, or WebRTC stream to .feed-video-placeholder
OPTICAL ZOOM: 1.0X COLORSPACE: REC.709 STATUS: READY
2026-08-27 11:45:00 UTC

Detections Registry

Categorized history of computer vision inferences, confidence metrics, and incident tags

Analytics & Trends

24-hour incident telemetry, behavioral density, and anomaly heat patterns

Last 24 Hours Last 7 Days Last 30 Days
Fights Detected
0 Incidents
No confirmed events
Garbage Detected
0 Instances
No confirmed events
Safety & Compliance
0 Incidents
Falls, phones, and accidents
Detection Chronological Timeline

System Settings

Configure model confidence gates, alert routing, and surveillance preferences

Display & Alerts Configuration
AI Inference Thresholds
Fight / Altercation Threshold 91%
Fallen Person Threshold91%
Mobile Phone Threshold91%
Accident Threshold91%
Garbage / Litter Threshold 91%