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Computer Vision
Security
VisionGuard
Real-time threat detection system powered by advanced computer vision.
Client
SecureNet Global
Duration
8 months
Year
2024
Team
10 engineers
0K+
Camera Feeds
0.7%
Detection Accuracy
0ms
Alert Latency
0%
False Alarm Reduction
The Challenge
SecureNet Global needed a next-generation surveillance system capable of processing thousands of camera feeds in real-time while maintaining extremely high accuracy and low false-alarm rates.
Our Approach
We developed a hierarchical detection pipeline using YOLOv8 for initial object detection, combined with custom-trained classifiers for threat assessment. Edge computing nodes handled initial processing, with cloud-based models for complex analysis.
Results & Impact
The system now processes over 10,000 camera feeds simultaneously with 99.7% detection accuracy and 75% fewer false alarms compared to the previous system.