By the Numbers
Detection Accuracy
Inference Speed
Camera Feeds Monitored
False Positive Rate
How It Works
We work with your security team to define the specific objects and scenarios to detect. Custom training data is prepared to match the threat categories relevant to your environment.
YOLO models are trained on your threat profiles and optimized for the target hardware. Quantization and pruning ensure real-time performance on edge devices without sacrificing accuracy.
Detection models are deployed to your camera infrastructure. Each feed is connected to the central monitoring system with alert routing configured for your security protocols.
After deployment, we monitor detection performance and tune confidence thresholds to minimize false positives. Regular model updates incorporate new threat patterns and environmental changes.
Custom-trained YOLO models detect weapons and threat objects with high precision in real-time video feeds. Optimized architectures balance detection speed and accuracy for continuous monitoring.
Detection models run directly on edge devices or cameras without cloud dependency. On-device processing eliminates network latency and ensures detection continues even during connectivity outages.
Detected threats trigger instant notifications with annotated image attachments showing the detected object. Security personnel receive alerts via push notifications, email, and dashboard simultaneously.
Non-Maximum Suppression eliminates duplicate detections and optimizes bounding box accuracy. The pipeline delivers clean, reliable detection outputs even in crowded or complex scenes.
Monitor multiple camera feeds simultaneously from a unified dashboard. Each camera runs its own detection instance, with alerts consolidated into a single security operations view.
Every detection event is logged with timestamps, confidence scores, and video clips. Security teams can replay incidents for investigation and generate reports for law enforcement.
Use Cases
A school campus deploys threat detection across entry points and common areas. Security staff receive instant alerts with images when a weapon is detected, enabling rapid lockdown procedures.
An office building integrates threat detection with existing CCTV infrastructure. The AI layer adds intelligent object detection to standard surveillance without replacing existing cameras.
A concert venue uses portable threat detection units at entry screening points. The system supplements metal detectors by visually identifying concealed objects in real-time video feeds.
A school campus deploys threat detection across entry points and common areas. Security staff receive instant alerts with images when a weapon is detected, enabling rapid lockdown procedures.
An office building integrates threat detection with existing CCTV infrastructure. The AI layer adds intelligent object detection to standard surveillance without replacing existing cameras.
A concert venue uses portable threat detection units at entry screening points. The system supplements metal detectors by visually identifying concealed objects in real-time video feeds.
Technology Stack
Let's discuss how this solution fits your business.