Classification of Alerts from CCTV Footage

Monitoring live CCTV footage in public areas is essential for public safety and security. Accurately detecting actions such as swinging a knife, carrying high-threat objects, or exhibiting unusual behavior that threatens others is crucial for safeguarding these spaces.

Challenges

Limitations in Training Data for Detecting Suspicious and Hazardous Incidents

The lack of training data models hinder the system’s ability to effectively recognize suspicious behaviours such as loitering or breaching security boundaries and detecting hazardous objects placed inside or near secured areas.

False Alarms and Generalization

Current systems often generate a high number of false alarms due to the inability to accurately differentiate between normal and suspicious activities. This leads to a generalization of alerts, making it difficult to prioritize real threats.

Lack of Customization

Customization challenges in private security involve one-size-fits-all solutions, inadequate threat recognition, environmental factors, user-specific needs, scalability limitations, and varying cultural and legal considerations

Sigmawave’s Solutions

Sigmawave Introduces the Use of Artificial Intelligence (AI) to Bolster Security and Public Safety Applications

Fully Customizable Visual Synthetic Data by Terra Builder for Precise Video Analytics

Fully Customizable Visual Synthetic Data by Terra Builder for Precise Video Analytics

Terra Builder’s artificial data models revolutionize video analytics with 100% customizable, programmable visual synthetic data, precisely tailored for specific surveillance and monitoring scenarios with zero privacy implications

Development of Specialized Algorithms for Dynamic Behavioural and Object Detection

Development of Specialized Algorithms for Dynamic Behavioural and Object Detection

Object Detection: Develop specialized algorithms for behavioural and object detection, uniquely designed to identify rare behaviours and items, tailored for specific local transit systems and it use cases.

Severity-Based Alert Classification

Severity-Based Alert Classification

Severity-based classification categorizes alerts into high (immediate threats like armed intrusions), medium (potential risks like unauthorized access), and low (minor incidents like loitering), guiding response urgency and allocation.

Benefits

Sigmawave’s Approach Yields Significant Benefits for Public Safety and Security

Increase Productivity for Admin and Security Personnel

Increase Productivity for Admin and Security Personnel

With the Sigmawave solution enhancing detection accuracy, administrators and security personnel can allocate their time more efficiently to crucial and urgent tasks. This reduces the risk of human errors resulting from overlooking incidents, which could lead to severe damage or pose risks to any commuters

Minimization of Human Error Risks

Minimization of Human Error Risks

The adoption of the proposed Classification Warning protocols by Sigmawave helps reduce the risk of human errors in detecting suspicious items in public transportation. Thus, it diminishes the likelihood of incidents that may cause damage or pose risks to commuters

Rapid Response to Security Threats

Rapid Response to Security Threats

Improved coordination between CCTV and advanced technology through Sigmawave solutions enables faster responses to security threats. Consequently, it enhances overall public safety and mitigates the potential impact of security incidents

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