Arms Detection (Knife)

Automated Weapon Detection and Threat Prevention. Detect knives and sharp weapons in real-time to prevent violent incidents. Our arms detection system analyzes video feeds continuously, identifying potential threats and triggering immediate alerts for rapid security response.

Knife Detection Expertise

AI-powered knife detection systems designed to support human decision-making and enhance safety

Real-Time Knife Detection

Detect knives and sharp objects in live video feeds with high accuracy. Our models identify potential threats across varying lighting conditions, angles, and motion to enable timely awareness.

Human-in-the-Loop Verification

Designed to support trained personnel, not replace them. Detected threats can be reviewed and verified by security teams before any action is taken, ensuring responsible and controlled responses.

Edge AI Processing

Perform weapon detection directly on local devices and cameras. Edge-based processing enables faster response times while keeping sensitive visual data private and secure.

Adaptive Learning & Model Refinement

Our knife detection models continuously improve through adaptive learning. Feedback and new data help refine accuracy and reliability over time, reducing false alerts and improving performance.

Our Approach

Why our weapon detection system provides reliable threat prevention

Context-Aware Detection

Intelligent algorithms understand environmental context to distinguish genuine threats from legitimate tool usage.

Real-Time Response

Sub-second detection and alerting enables immediate security response to prevent violent incidents.

Low False Positive Rate

Advanced training and context analysis minimize false alarms while maintaining high threat detection sensitivity.

Implementation Process

A systematic approach to weapon detection and threat prevention

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STEP 01

Risk Assessment & Planning

We evaluate your facility's security risks, entry points, and critical areas. Our team identifies optimal camera placements for weapon detection while considering privacy regulations and operational workflows.