At Safe-Guard AI, research is our top priority as a 501(c)(3) non-profit dedicated to advancing AI-driven school security. We focus on rigorous, evidence-based investigations into multi-modal AI applications—integrating video, audio, door sensors, and school records—to create proactive tools that prevent threats and foster safer learning environments. Our commitment to integrity in data reporting ensures transparency, ethical practices, and unbiased results: all findings are peer-reviewed where possible, anonymized for privacy, and shared openly to build trust and drive industry progress. Below are key data points we use to evaluate the success or failure of our AI solutions, guiding investors and stakeholders on our measurable impact.
True Positive Rate: >95% accuracy in identifying real threats (e.g., unauthorized entry or suspicious audio); benchmark against simulations.
False Positive/Negative Rates: <5% false alarms to avoid fatigue; <1% missed threats to minimize liability.
Precision/Recall (F1-Score): >0.9 balance for reliable multi-modal (video/audio/sensor/records) integration.
Response Time: <10 seconds from detection to alert; critical for emergency prevention.
System Uptime: 99.9% availability; track downtime causes like sensor failures.
Alert Resolution Time: <5 minutes average; indicates efficient school workflows.
Scalability: No latency spikes under high load (e.g., school events).
Data Breaches: Zero incidents; monitor logs for vulnerabilities.
Compliance Scores: >90% adherence to FERPA/COPPA; via audits.
Bias Rate: <1% demographic bias in detections; tested on diverse datasets.
Opt-Out Rates: Low (<10%) user opt-outs; reflects trust in privacy handling.
Satisfaction (NPS): >70 from staff/students via surveys; measures usability and safety perception.
Training Completion: >90% user training rates; low indicates adoption barriers.
Alert Fatigue: <20% ignored alerts; prevents operational burnout.
Mental Health Metrics: Pre/post surveys showing reduced anxiety from enhanced security.
ROI: 200-400% within 18-24 months; based on prevented incidents (e.g., $100K+ per averted shooting).
Cost Per Incident Prevented: Track against baselines; aim for cost savings in operations.
Incident Reduction: 20-50% drop in violence post-deployment; longitudinal data.
Maintenance Costs: Monitor vs. projections; ensure scalability without exponential increases.
Explore external research aligned with our mission on AI-driven threat detection, behavioral analysis, and school security enhancements.