Discover How Video Surveillance AI and VMS Integrations Easily Enhance Your Perimeter Security
Video surveillance AI is a powerful tool revolutionizing how operators maintain security. AI software can also supercharge your existing security technology stack. Here, we will focus on the impact of video surveillance AI on the video management system (VMS).
Perimeter breaches can have serious consequences, including theft, vandalism, and threats to safety. Many perimeter breaches can take place in seconds. A video surveillance system helps maintain a secure perimeter.
A video management system (VMS), like Milestone Systems, is a must-have for organizations. The VMS is the software platform that controls the video surveillance system. Integrating the VMS into other business systems creates a comprehensive security solution. The VMS is usually the primary tool security operators use to secure people and assets.
In most cases, when a facility’s security system or personnel detects a threat, it’s too late. Organizations usually use the VMS only after an incident has occurred. In this scenario, the VMS is a forensic investigation tool.
Video surveillance AI verification, like Evolon Insites is a powerful add-on for security operators. Video AI technology for security combines computer vision, machine learning, and video analytics. Security operators encounter several challenges that video surveillance AI can address.
Let’s dive into some of these challenges and how AI verification resolves them.
TL;DR
Rapid Threat Identification
The Challenge:
Many organizations rely on manual monitoring, which delays the identification of threats. Security systems exist to keep people and property secure at all times. If the security system is not set up as a proactive tool, it is no more than a prop. Fast threat detection is a valuable lifesaving step for your organization’s people.
The Solution:
AI software processes security video in real time, identifying threats as they happen. Verified alerts provide security operators with actionable data. Rapid threat identification and alerting can prevent incidents from occurring. Proactive security increases the effectiveness of your security teams and keeps people safe. A strong return on security investment comes from a proactive system.
High False Alarm Rates
The Challenge:
False alarms mask the security operators’ ability to respond to threats. Moving objects, environmental changes, camera glitches, and other issues create false alarms. Depending on the organization’s size, these false alarms can come in a range of 1,000 – 10,000 per day.
The Solution:
Video surveillance AI software uses machine learning algorithms trained on vast datasets. Active training ensures the AI can distinguish between usual scenes and security threats. AI software becomes more precise by learning and adapting over time. Increasing threat accuracy leads to further decreasing false alarms. Security operators receive only relevant and actionable alerts, saving time and resources.
Time-Consuming Manual Monitoring
The Challenge:
Monitoring many video feeds in real-time can be overwhelming for security operators. Human monitoring alone may result in errors over time. Errors occur because of the need for breaks, distraction, missed judgments, and boredom. Accuracy decreases as a monitoring agent keeps track of many video feeds. Scaling the manual monitoring process is impossible for organizations of every size.
The Solution:
Video surveillance AI software automates monitoring by analyzing video feeds in real-time. Tracking many cameras at the same time removes the burden of manual monitoring. Immediate threat alerting enables security operators to respond. Automated monitoring frees up operator time to focus on critical situations.
Limited Human Attention and Fatigue
The Challenge:
Humans have low attention spans, making monitoring video feeds a challenging task. Prolonged monitoring can lead to fatigue, reducing the operator’s vigilance. Cry Wolf Syndrome happens when operators ignore incoming real or fake alarms. The goal of security operation centers is to maintain active and effective monitoring.
The Solution:
A force multiplier, video AI verification helps security operators remain effective. Focusing on what matters, operators are focused, energized, and responsive to alarms. Adding tools that improve the working environment makes hiring and retaining operators simple.
Post-Incident Analysis
The Challenge:
Investigators use video footage after an incident to reconstruct events and identify culprits. Traditional VMS setups may need a manual review of hours of footage. We’ve all watched an action movie where the police investigate the crime after the fact. The police have to scan through hours of video feeds, looking for an explanation of events. Unfortunately, The manual footage review is an all too true reality.
The Solution:
Video AI software aids post-incident analysis by categorizing and tagging relevant video clips. Reducing the time required to identify critical data boosts investigations. Metadata is valuable in helping identify culprits and reconstruct events in more detail. The Evolon VMS integration provides metadata in the VMS database for forensic searching.
Everyone with a VMS should be adding video surveillance AI to their tech stack. Supercharging your existing security technology will improve the efficiency of your security teams. All in all, adding video surveillance to your VMS helps keep people and assets safer, which is why we do what we do.
We love to learn about your business’s security needs and existing technology stack. We will help design and install a video surveillance AI solution that matches your needs. Connect with us for a 1:1 demo of the technology and a fun security geek conversation with our fantastic team.
