The Internet of Things (IoT) is revolutionizing the way we manage video surveillance and security. By utilizing artificial intelligence (AI) and machine learning systems, network-connected cameras analyze data in real-time, providing vital information for safety, resource management, and process optimization.
Benefits of video surveillance 4.0
Video surveillance 4.0 technologies offer enhanced connectivity and remote access. Security managers can monitor their systems from anywhere at any time, improving responsiveness to critical situations.
Artificial intelligence and resource management
AI helps dynamically manage resources and network traffic. By analyzing network traffic, we can discover different types of flows being transmitted. This allows for identifying patterns that can be applied in decision-making regarding software-defined networks (SDN). Combining AI techniques with SDN enables adaptive behaviors to improve network performance.
Enhanced security and smart cities
The integration of IoT with video surveillance systems has significantly improved security in both public and private spaces. High-resolution cameras and sophisticated analytics enable quicker identification and resolution of security issues. Furthermore, smart cities benefit from data collected by cameras and sensors, optimizing public safety and enhancing overall quality of life.
Remote monitoring and automation
With IoT, it is possible to remotely monitor security camera systems. Users can access live video feeds and receive real-time notifications on their mobile devices, increasing the safety of their properties. Additionally, automation of processes through video surveillance enhances operational efficiency in businesses.
Data analysis and informed decision-making
Video surveillance and IoT generate massive amounts of data. Analyzing this data reveals key trends and insights that can support strategic decision-making. This is essential for businesses looking to remain competitive in today’s market.
Conclusion: the future of video surveillance
The use of advanced analytics, video surveillance, and IoT represents a paradigm shift in security and operational management. With AI and machine learning, surveillance systems can perform advanced video analytics, object recognition, facial recognition, anomaly detection, and automated decision-making, paving the way for a safer and smarter future.
Next Industries
Discover the wireless and wired solutions by Next Industries – MILANO – for data collection in this type of application, capable of transmitting data even over long distances and in difficult environmental conditions.
References:
- A. Rego, A. Canovas, J. M. Jiménez and J. Lloret, “An Intelligent System for Video Surveillance in IoT Environments,” in IEEE Access, vol. 6, pp. 31580-31598, 2018, doi: 10.1109/ACCESS.2018.284203
- Cheruvu, S., Kumar, A., Smith, N., Wheeler, D.M. (2020). Connectivity Technologies for IoT. In: Demystifying Internet of Things Security. Apress, Berkeley, CA.
- Collins, R. T., Lipton, A. J., & Kanade, T. (n.d.). Introduction to the Special Section on Video Surveillance. Retrieved August 8, 2000.