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Case Study
Sentinel-X.aiIntelligent Security Platform
A commercial property management company was struggling with high false positive rates and delayed incident response from their legacy CCTV system. We built an edge AI-powered surveillance platform that achieved 99.2% detection accuracy and sub-2-second response times.
Computer VisionEdge AIReal-time AnalyticsSecurity
IndustrySecurity & Surveillance
Duration12-week implementation
Team3-person engineering team
Year2024
Sentinel-X.ai
AI-Powered Security
Explore
OVERVIEW
AI-Powered Threat Detection & Monitoring
Sentinel-X.ai represents a paradigm shift in security surveillance. By deploying advanced computer vision models directly on edge devices, we created a system that transforms passive CCTV networks into proactive security partners.
The platform combines real-time object detection, behavioral analysis, and intelligent alerting to provide security teams with actionable insights - not just endless streams of footage to review.
50+
Cameras Managed
10M+
Events Analyzed
30ms
Inference Time
99.9%
System Uptime
THE CHALLENGE
Traditional CCTV Limitations
Conventional surveillance systems were struggling to keep up with modern security demands, creating critical gaps in protection.
High False Positive Rates
Traditional CCTV systems generated thousands of false alerts daily, causing alarm fatigue and missed genuine threats.
Delayed Response Times
Manual review of footage meant threats were often identified hours or days after incidents occurred.
Limited Analytics
No ability to detect behavioral patterns, track movement trends, or predict potential security risks.
Scalability Issues
Adding new cameras required proportional increases in security personnel for monitoring.
THE SOLUTION
Intelligent Security Architecture
We designed a comprehensive AI-powered platform that addresses each limitation while adding powerful new capabilities.
1
AI-Powered Object Detection
Custom-trained deep learning models identify people, vehicles, and objects with exceptional accuracy, filtering out environmental noise like shadows and animals.
Multi-class object detectionReal-time trackingLow-light enhancement
2
Behavioral Analysis Engine
Advanced algorithms detect suspicious behaviors such as loitering, perimeter breaches, and unusual movement patterns before incidents escalate.
Anomaly detectionPattern recognitionPredictive alerts
3
Smart Alert System
Intelligent notification system prioritizes alerts based on threat severity, reducing operator workload while ensuring critical events never go unnoticed.
Priority-based routingMulti-channel deliveryContextual information
4
Edge Computing Deployment
Processing happens directly on NVIDIA Jetson devices at the camera level, ensuring sub-second response times and reduced bandwidth requirements.
Local processingMinimal latencyBandwidth efficient
THE RESULTS
Measurable Impact
The deployment of Sentinel-X.ai delivered measurable improvements across all key performance indicators. Results based on 6 months of production data compared to legacy system.
0.0%
Threat Detection Accuracy
Near-perfect identification of security incidents. Measured over 6 months across 50+ camera feeds.
<2s
Response Time
Real-time alerts within seconds of detection. Average latency measured under production load.
0%
False Positive Reduction
Compared to legacy motion-detection system. Based on security team review logs.
24/7
Autonomous Monitoring
Continuous surveillance without human fatigue. System uptime measured at 99.9%.
TECHNOLOGY
Tech Stack
Built with industry-leading technologies optimized for edge AI performance.
Python
Backend
OpenCV
Computer Vision
NVIDIA Jetson
Edge Hardware
TensorRT
AI Optimization
React
Frontend
PostgreSQL
DatabaseHARDWARE
Edge Deployment Architecture
Purpose-built hardware configurations for reliable, high-performance edge AI processing.
NVIDIA Jetson AGX Orin
275 TOPS AI Performance
Primary edge processing unit for complex analytics
NVIDIA Jetson Xavier NX
21 TOPS AI Performance
Cost-effective deployment for standard installations
IP Camera Integration
ONVIF & RTSP Support
Compatible with existing camera infrastructure
Central Server
NVIDIA GPU Cluster
Model training and dashboard hosting
IP Cameras
Jetson Edge
Central Server
Dashboard
Want Similar Results for Your Security Operations?
Let's discuss how we can help modernize your surveillance infrastructure with AI-powered threat detection. Our team has delivered measurable security improvements for commercial and enterprise clients.