AI Theft Detection Dashboard
24
Total Alerts Today
12%
vs yesterday
16/18
Active Cameras
System health: Good
94.2%
Detection Accuracy
2.1%
last 7 days
1.2s
Response Time
System performance: Optimal
Live Surveillance
Person 98%
Product 95%
MONITORING
Retail Floor - Aisle 3
Online
2 objects detected
Updated 3s ago
ALERT: Theft 92%
Product 97%
ALERT
Checkout Area
AlertSuspicious activity detected: Concealing item
Person 99%
MONITORING
Warehouse - Section B
Online
1 object detected
Updated 2s ago
AI Detection Technology
Object Detection
Identifies and tracks valuable items and people using YOLOv8 technology.
Detection Confidence
96%
Using: YOLOv8 + DeepSORT
Action Recognition
Identifies suspicious actions like grabbing, concealing, or running.
Recognition Accuracy
92%
Using: SlowFast Networks
Scene Change Detection
Detects missing objects from shelves or monitored zones.
Change Detection
94%
Using: OpenCV + Custom Models
Recent Alerts
| Time | Location | Alert Type | Confidence | Status | Action |
|---|---|---|---|---|---|
| 10:42 AM | Checkout Area | Item Concealment | 92% | Pending Review | |
| 10:15 AM | Electronics Section | Item Removal | 88% | Resolved | |
| 09:53 AM | Warehouse Section B | Suspicious Movement | 76% | False Alarm | |
| 09:22 AM | Retail Floor - Aisle 2 | Item Concealment | 95% | Resolved |
Theft Incidents by Location
Checkout
Electronics
Cosmetics
Clothing
Grocery
Warehouse
Entrance
Electronics section shows highest theft activity (85%). Consider increasing surveillance in this area.
Detection Performance
Object Detection
96%
Action Recognition
92%
Scene Change Detection
94%
False Positive Rate
8%
System performance is optimal. False positive rate reduced by 3% since last calibration.