Critical infrastructure facilities like data centers, power grid control operations, R&D centers, etc., have become the hottest targets for intruders and fraudsters. They know that gaining physical access to these facilities can unleash a wave of disruption that can even bring some of the world’s most powerful economies to a grinding halt. As such, enabling effective perimeter security for such establishments becomes a top priority for the leadership.
Yet another factor that brings more attention to the security aspect is the fact that many of these critical facilities are increasingly being built in remote areas away from the mainland due to the need for large land parcels. This brings to light the need to bring in additional layers of security that can hold off intrusions by the time help arrives from law enforcement.
CV-Enabled Visual Analytics as the Answer
The answer to the problem lies in making perimeter security smarter using computer vision-enabled visual analytics. In simple terms, CV-enabled visual analytics is the use of smart computer vision that analyzes live video feeds of cameras across the facility to detect any anomaly or security threat.
You might be wondering about the need to have a smarter CV-enabled system when CCTVs have been around for decades to do the job. The key difference here is the optimization of manual effort. This is needed in the case of traditional CCTV-based monitoring of facility boundaries given the sheer scale of the task and abundant resource constraints.
Let us explore how CV-led visual analytics solutions can bring in a more assured and autonomous sense of perimeter security for mission-critical infrastructure projects:
Eliminate Biased Decisions
Security intrusions must be dealt with immediately to prevent any damage or further escalations. Hence it is important to identify and locate any intrusion quickly. Relying on manual efforts may result in a biased decision in analyzing events. Human agents may miss out on potential threat signals during manual observation of video feeds.
With CV-enabled smart protection systems, even the slightest movements or vibrations are picked up via computer vision automatically. It processes the video feed in real-time using artificial intelligence and arrives at conclusions based on data-driven evidence. Hence it has zero chance of bias and will detect and notify respective teams about even the smallest of threats on the border.
Intelligent Identification
We have seen how bias is eliminated with CV-led visual analytics systems. It can go a step further by being able to separate threats categorically and assign priorities for alerting stakeholders. For example, in facilities close to forest areas, it is common for wild animals to venture into perimeter installations. Intrusion alarms going off in such cases will be a highly challenging ordeal.
With CV-led systems, this challenge can be solved easily. Such analysis systems can be configured to intelligently process and identify the exact agent causing the intrusion. If it is found to be a stray animal, the system can be configured to respond accordingly by either turning on a perimeter sound warning to scare away the animal or alert nearby personnel to chase the animal away. The system doesn’t have to ring all alarms and create chaos in the facility as if there was a major security breach.
Prevent Risky Mistakes
Intelligent CV-enabled visual analytics solutions can help prevent employees from getting injured or being put in danger’s path while on duty across the facility site. From camera feeds, such systems can accurately monitor intrusions and alert respective teams to swing into action.
While doing so, the system can also check whether the personnel is rightly equipped with appropriate gear to enter risky environments. The system can be programmed to alert them or even prevent the entry of personnel into the space without proper protective gear. Using facial recognition, it can develop the capability to allow only designated security specialists to access a breached site, thereby reducing the chances of danger considerably.
Smarter Crime Assistance
It is not just the prevention of breaches that CV-led visual analytics solutions offer as a benefit. They also aid in providing credible leads to law enforcement when events are reported. On one side, they proactively monitor and automatically set off alarms to prevent breaches, while on the other hand, they capture accurate positioning and characteristics of the threat agent.
Such systems can intelligently target moving objects and capture the exact identities of people committing security intrusions. This helps in solidifying cases against such attempts with insightful and visual evidence.
The Road Ahead
New-age critical infrastructure requires a major overhaul of its perimeter security measures. From turning autonomous to proactive monitoring and securing employee interests, the possibilities unlocked by intelligent CV-led visual analytics platforms like KamerAI are several. Getting to know deeper about how they can transform security experiences for your most critical establishments is vital to making the right decision at the right time. Get in touch with us to know more.
