Public spaces such as transportation hubs, university campuses, shopping centres, and event venues face growing security risks from both concealed and openly carried knives. These threats put heavy pressure on security teams to detect weapons quickly and respond before incidents escalate. Traditional manual monitoring of multiple CCTV or IP camera feeds is labour-intensive and prone to human error and delayed reactions, particularly in crowded or fast-moving environments.
An AI-powered, real-time knife detection system can significantly improve situational awareness by automatically scanning live video streams for potential weapons and sending instant alerts to security personnel. Thanks to recent advances in computer vision and low-latency edge computing, these intelligent detection models can now be seamlessly integrated into existing surveillance networks without costly infrastructure changes.
Conceptual Design
How our AI model detects knives in live video surveillance
Our advanced deep learning object detection models are trained on diverse datasets that cover varying lighting conditions, camera angles, and crowd densities. This enables the system to recognize knives accurately in live and recorded video streams, even in challenging environments.
Integrated into the GStreamer multimedia framework, the AI pipeline continuously processes incoming CCTV or IP camera feeds in real time, delivering high detection accuracy with low false-positive rates. The result is a reliable, scalable, and proactive security tool that enhances public safety by identifying potential threats as they happen.
Conceptual Design
How our AI model detects knives in live video surveillance
Our advanced deep learning object detection models are trained on diverse datasets that cover varying lighting conditions, camera angles, and crowd densities. This enables the system to recognize knives accurately in live and recorded video streams, even in challenging environments.
Integrated into the GStreamer multimedia framework, the AI pipeline continuously processes incoming CCTV or IP camera feeds in real time, delivering high detection accuracy with low false-positive rates. The result is a reliable, scalable, and proactive security tool that enhances public safety by identifying potential threats as they happen.
The value we deliver: How we boost your business
Proactive threat identification
Identifies potential threats early, allowing security teams to intervene before incidents escalate. This proactive approach reduces risks by enabling swift response in high-traffic, dynamic environments, enhancing overall safety.
High detection quality
Trained on diverse scenarios, our AI-driven system minimizes false positives while maintaining high sensitivity. It ensures accurate, reliable threat detection across varying conditions, providing security teams with precise alerts in dynamic environments.
Edge deployment readiness
Processes data locally for faster performance and enhanced data security. This approach ensures quick response times while maintaining privacy and compliance, making it ideal for real-time threat detection in dynamic and sensitive environments.
Proactive threat identification
Identifies potential threats early, allowing security teams to intervene before incidents escalate. This proactive approach reduces risks by enabling swift response in high-traffic, dynamic environments, enhancing overall safety.
High detection quality
Trained on diverse scenarios, our AI-driven system minimizes false positives while maintaining high sensitivity. It ensures accurate, reliable threat detection across varying conditions, providing security teams with precise alerts in dynamic environments.
Edge deployment readiness
Processes data locally for faster performance and enhanced data security. This approach ensures quick response times while maintaining privacy and compliance, making it ideal for real-time threat detection in dynamic and sensitive environments.