Misbehavior Detection Dashboard

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warning
5
Active Incidents
arrow_downward 12% from yesterday
videocam
32
Monitored Cameras
All systems operational
auto_awesome
95.3%
AI Accuracy
arrow_upward 2.1% from last week
event
18
Incidents Today
arrow_upward 8% from yesterday

Live Camera Feeds

Fighting Detected (95%)
Hallway B
Hallway B, Floor 2
Main Building
Vandalism Detected (92%)
Parking Lot A
Parking Lot A
North Side

Incident Heat Map

Hallway B Main Area Parking
Showing incident concentration areas

Behavior Analytics

Fighting (32)
Vandalism (18)
Loitering (24)
Theft (15)
Crowding (8)
0 10 20 30 40 Mon Tue Wed Thu Fri Sat
Fighting
Vandalism

Active Incidents

All (5)
Critical (2)
Warning (3)
Fighting Detected
place Hallway B, Floor 2
access_time 2 min ago
Vandalism Detected
place Parking Lot A
access_time 5 min ago
Suspicious Loitering
place Main Entrance
access_time 10 min ago
Potential Theft
place Store Area
access_time 15 min ago
Crowding Detected
place Cafeteria
access_time 18 min ago

AI System Status

95.3%
AI Detection Accuracy
Last calibrated: Today at 08:30 AM
arrow_upward 2.1% improvement from last week
Active Detection Models
SlowFast
Pose Estimation
YOLO v5
Temporal CNN
System Performance
Processing Rate
15 fps
GPU Utilization
78%
Confidence Threshold
0.75
False Positive Rate
3.2%

Response Protocols

Fighting
Vandalism
Loitering
Theft
  1. Verify incident through live camera feed
  2. Dispatch security personnel to location immediately
  3. Use PA system to announce security presence
  4. Contact medical staff if injuries are visible
  5. Document incident and collect video evidence