Analytics & Impact Metrics
10.1 Quantitative KPIs (AI Contribution)
Year 1 Performance vs Targets
| Metric | Baseline | Target (Y1) | Current | AI Contribution | Status |
|---|---|---|---|---|---|
Hotspot False Positive RateAccuracy of thermal detection |
40% |
< 10% |
8.5% |
AI Classification |
Exceeding Plan |
Average Response TimeTime from alert to patrol arrival |
4 hours |
< 1 hour |
1.2 hours |
AI Routing + Alert |
On Track |
Patrol CoverageCoverage in high-risk zones |
60% |
90% |
82% |
AI Route Optimization |
Improving |
Early DetectionDetected before 1 ha burned |
30% |
70% |
75% |
AI Prediction + Camera |
Achieved |
Illegal Activity Detection RateLogging, encroachment identification |
20% |
60% |
45% |
AI Pattern Recognition |
Needs Focus |
Budget EfficiencyCost per patrol mission |
Baseline |
-30% |
-32% |
Resource Optimization |
Efficient |
Hotspot Detection Trend
Incidents by Type
Avg Response Time
1.2h
Target: < 1h
Improved from 4hPatrol Coverage
82%
Target: 90%
Detection Accuracy
91.5%
False Positive Rate: 8.5%
Target Achieved (< 10%)