Cambridge
Academy
In London

Introduction

AI is transforming physical security with smart cameras, facial recognition, and behavior analysis. This course teaches professionals how to use AI for surveillance, intrusion detection, and physical asset protection.

Objectives

- Understand AI applications in surveillance systems.

- Apply AI for facial recognition and behavior analytics.

- Explore predictive security in physical spaces.

- Learn compliance and ethical issues in AI surveillance.

Audience

- Security officers

- Facility managers

- Law enforcement agencies

- Corporate security professionals

5-Day Outline

Day 1: AI in Physical Security

- Overview of AI-powered security systems

- Facial recognition and biometric authentication

- Case study: Smart city surveillance with AI

- Benefits and risks of AI in physical security

- Discussion: Balancing safety and privacy

Day 2: AI in Video Analytics

- Object detection and recognition with AI cameras

- AI for suspicious behavior detection

- Automated license plate recognition (ALPR)

- Tools: BriefCam, AnyVision, Hikvision AI

- Workshop: Design AI-based surveillance system

Day 3: Predictive Security with AI

- Using AI for crime pattern prediction

- Predicting intrusions in secured facilities

- Real-time monitoring with AI dashboards

- Case study: AI preventing unauthorized access

- Simulation: AI-driven predictive security

Day 4: AI in Emergency Management

- AI for crowd monitoring and control

- Detecting accidents with AI surveillance

- AI in disaster management and evacuation planning

- Real-time AI alerts during emergencies

- Exercise: Create AI emergency response plan

Day 5: Ethical & Legal Considerations

- Privacy concerns in AI surveillance

- Regulations governing facial recognition use

- Group project: Design a responsible AI surveillance system

- Peer feedback & discussion

- Wrap-up & certification