Director, Luxriot India
Artificial Intelligence (AI) and the Internet of Things (IoT) are reshaping the landscape of physical security management, transforming how organizations protect their assets. These advanced technologies enable data-driven decision-making and significantly enhance traditional surveillance systems, resulting in more robust, responsive, and intelligent security solutions across various sectors.
The global video surveillance market is projected to reach USD 99.7 billion by 2030, driven by the growing demand for security across industries and the rise of smart cities. This rapid growth is fuelled by the integration of cutting-edge technologies such as computer vision and video analytics, which offer greater precision and efficiency in monitoring and protecting physical spaces.
As video management software becomes increasingly reliable, cost-effective, and accurate, its demand is expected to rise sharply. The expanding use of such software to reduce crime rates is anticipated to further boost market growth during the coming years. Additionally, this software can integrate with third-party systems like fire alarms, intrusion detection systems, and video analytics to create more comprehensive surveillance solutions. These features empower facility managers to
monitor multiple camera views, improving their ability to respond effectively to emergencies.
Neural networks, particularly deep learning models, form the backbone of AI in security management. These brain-inspired algorithms excel at complex pattern recognition, enabling real-time image and video analysis, anomaly detection, and predictive analytics. Their self-learning capabilities, enhanced by transfer learning, allow security AI systems to continuously improve accuracy, adapt to new threats, and reduce false alarms, making them invaluable tools in modern security applications.
By creating interconnected systems that can detect, analyse, and respond to potential security threats, AI and IoT are revolutionizing traditional surveillance methods, making security management more efficient and proactive.
Enhancing Video Surveillance with AI
- Intelligent Video Analytics: AI-powered video management systems offer advanced features like people counting, object detection, and license plate recognition, which help security teams monitor real-time data more effectively for better decision-making. In retail environments, AI analytics can improve customer experience by optimizing store layouts based on movement patterns.
- Automated Incident Detection: AI can automatically detect unusual behaviour, such as unauthorized access or loitering, and alert security teams in real-time, enabling faster response times and incident prevention.
- Data-Driven Decision Making: AI enables organizations to analyze historical data, identifying trends that allow them to adjust security measures based on risk factors and recurring incidents.
The Role of IoT in Physical Security
- Seamless Integration of Devices: IoT allows for the integration of multiple devices like CCTV cameras and sensors, creating scalable and adaptable security solutions.
- Remote Monitoring and Control: IoT-enabled devices provide remote monitoring through mobile applications, giving users access to live feeds and alerts, thereby improving situational awareness and response times.
- Enhanced Data Collection and Reporting: IoT devices collect vast amounts of data, which can be analysed to gain insights into security operations, traffic patterns, and behaviour. This is particularly beneficial in sectors like retail and transportation, where understanding movement and interactions is crucial for both security and operational efficiency.
The convergence of AI and IoT is revolutionizing physical security management by offering intelligent analytics, enhanced decision-making capabilities, and safer environments. As the demand for innovative security solutions grows, AI and IoT will continue to play a central role in shaping the future of the security industry.
-Sandesh Kaup is the Director at Luxriot India Pvt. Ltd.