Security.Vision:
Advanced AI for Intruder
and Object Detection

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HAIKAI offers a cutting-edge security software solution that specialises in the detection, tracking, and classification of intruders and security threats.

By integrating multiple machine vision algorithms, Security.Vision goes beyond standard AI solutions, providing a comprehensive “security dangerousness index” that offers a more nuanced assessment of potential threats.

Multi-source data fusion

Real-time detection and tracking

Automated push notifications and geolocation of threats

Versatile deployment options

Enhanced Security

Real-time AI-powered threat detection minimises the risk of incidents that are difficult to detect with traditional methods. Key performance indicators (KPIs) such as detection accuracy, precision, and false positive/negative rates are rigorously tested and benchmarked against current methods.

Operational Efficiency

Automated threat detection reduces the need for manual inspections, leading to increased productivity and reduced downtime. The system aims to achieve an average error detection rate of less than 10%, with a target of reducing it to under 5%.

Cost Savings

Prompt identification and mitigation of security threats help reduce potential damage, safety hazards, and operational delays. Additionally, Security.Vision is expected to lower Full-Time Equivalent (FTE) costs by reducing the need for personnel in inspection, auditing, and monitoring roles.

Enhanced Security

Real-time AI-powered threat detection minimises the risk of incidents that are difficult to detect with traditional methods. Key performance indicators (KPIs) such as detection accuracy, precision, and false positive/negative rates are rigorously tested and benchmarked against current methods.

Operational Efficiency

Automated threat detection reduces the need for manual inspections, leading to increased productivity and reduced downtime. The system aims to achieve an average error detection rate of less than 10%, with a target of reducing it to under 5%.

Cost Savings

Prompt identification and mitigation of security threats help reduce potential damage, safety hazards, and operational delays. Additionally, Security.Vision is expected to lower Full-Time Equivalent (FTE) costs by reducing the need for personnel in inspection, auditing, and monitoring roles.

Security.Vision can be applied to various scenarios, each tested for specific AI vision features:

  • Vehicle/Person Boundary Intrusion: detects unauthorised access by vehicles or individuals across secure boundaries.
  • Car Plate Tracking: monitors and detects specific vehicle number plates.
  • Anomaly Trajectory Detection: identifies unusual movements or paths taken by individuals.
  • Human Pose Classification: recognises abnormal poses or movements that may indicate a security threat.
  • Pose-Object Mixtures: detects unusual combinations of human poses and objects, such as firearms.
  • Anomaly Parking Patterns: identifies irregular parking patterns.
  • Flow Tracking: monitors and detects anomalies in traffic flow and direction.
  • Anomaly Traffic Detection: identifies outliers in traffic behaviour.
  • Anomaly Vehicle-Person Ensemble: detects unusual interactions between vehicles and individuals.

Security.Vision can be applied to various scenarios, each tested for specific AI vision features:

  • Vehicle/Person Boundary Intrusion: detects unauthorised access by vehicles or individuals across secure boundaries.
  • Car Plate Tracking: monitors and detects specific vehicle number plates.
  • Anomaly Trajectory Detection: identifies unusual movements or paths taken by individuals.
  • Human Pose Classification: recognises abnormal poses or movements that may indicate a security threat.
  • Pose-Object Mixtures: detects unusual combinations of human poses and objects, such as firearms.
  • Anomaly Parking Patterns: identifies irregular parking patterns.
  • Flow Tracking: monitors and detects anomalies in traffic flow and direction.
  • Anomaly Traffic Detection: identifies outliers in traffic behaviour.
  • Anomaly Vehicle-Person Ensemble: detects unusual interactions between vehicles and individuals.
  • Anomaly Parking Patterns: identifies irregular parking patterns.
  • Flow Tracking: monitors and detects anomalies in traffic flow and direction.
  • Anomaly Traffic Detection: identifies outliers in traffic behaviour.
  • Anomaly Vehicle-Person Ensemble: detects unusual interactions between vehicles and individuals.

Domain Experts

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Human-Centred Approach

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Innovation-Driven

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Ethical and Responsible AI