How AI Analytics in Cloud Video Offers a Proactive Security Approach to Businesses
As security providers look to elevate their security offerings, it’s essential to choose a platform equipped with AI-powered video analytics to deliver an intelligent solution optimizing both customer security and internal workflows. AI analytics reduce false alerts while enhancing end user security, minimizing the time and resources required to effectively monitor a business without compromising surveillance strength. As a critical component of a complete security framework, AI analytics powered video monitoring also represents a significant revenue-generating opportunity for security providers.
Advanced video analytics empower security integrators and their customers by providing intelligent alerting and expedited search, supported by capabilities such as loitering and intrusion detection, line crossing, and license plate recognition (LPR). These features support both dealer managed monitoring services and end‑user self-monitoring. This article will explore these benefits, and any limitations teams may encounter when using traditional monitoring methods without analytics support.
Where Traditional Monitoring Creates Challenges for Security Providers
Traditional monitoring services have historically relied on basic sensors or pixel-based changes in video to identify suspicious activity and respond to critical situations. While this approach remains foundational, it can place significant demands on security teams due to a higher volume of events monitored.
Furthermore, high false-alert volumes create alert fatigue and documentation overhead for internal monitoring teams and central stations. These false positives are all too common for many businesses; according to a study conducted by the Urban Institute, over 90% of police-received calls from alarms generated by security systems or panic alarms are false. Numerous false alerts can quickly become a costly issue and take attention away from more pressing matters.
These challenges can increase the time and resources required for both dealer monitoring services and customer security teams. Below, we look at some primary areas where these challenges are most commonly felt.
Monitoring Perimeter Activity at Customer Sites
High-traffic or exposed areas, such as business perimeters, often require close attention due to their vulnerability to potential incidents. At the same time, these environments can generate a high number of alerts for routine or harmless activity, making it difficult for monitoring teams to quickly identify events that require action. While perimeter protection remains critical, effectively distinguishing between routine activity and genuine threats can help teams focus their attention where it matters most and respond more efficiently.
Responding to Unauthorized Access in Restricted Areas
Maintaining consistent oversight of restricted areas, such as offices, storage rooms, or sensitive infrastructure, can also be challenging with traditional monitoring approaches alone. Because manual monitoring can be resource-intensive, security integrators and their customers can benefit from solutions that help surface suspicious activity more quickly while ensuring that environmental changes and objects in scene do not generate large numbers of false events.
Difficulty Tracking Vehicles of Interest Across Customer Locations
Monitoring vehicles of interest across one or more locations can be difficult without tools designed specifically for monitoring. Traditional surveillance systems may require manual review to confirm vehicle-related events, which can slow response times and add operational overhead. For managed monitoring services, this highlights the value of solutions that help streamline vehicle identification and tracking, enabling faster validation and more efficient response when needed.
How AI Video Analytics Enhance Monitoring Offerings
To help reduce the overall number of false alarms received, improve monitoring operations, and provide an advanced solution designed to fortify customer security, dealers can take advantage of AI video analytics in a cloud video platform.
For security providers, AI video analytics also create an opportunity to deliver a more comprehensive and higher-value surveillance offering, allowing customers to use their video solution as a business tool during the day and intelligence video alarm system after hours. Analytics can be configured for use by central monitoring teams or made available directly to customers, allowing each to benefit from streamlined security and increased visibility. This flexibility not only enhances the end-user experience but also reduces workload and inefficiencies for monitoring centers.
Below, we explore the key advantages of AI-powered video analytics.
Reduce Alert Noise with Loitering Detection
To improve monitoring of high-traffic and perimeter areas around customer locations, AI-powered cloud video provides loitering to closely watch business vulnerabilities while helping reduce false alarms. Security integrators can configure loitering analytics to focus on the persons and vehicles which remain on site and ignore ones which pass by without stopping. Fewer false alerts enable internal monitoring teams or central stations to review incidents faster and more accurately, as well as helping optimize workflows. On screen display of AI enabled loitering regions provide further event context to expedite alert response.
Identify Unauthorized Access with Line Crossing and Intrusion Analytics
Line crossing and intrusion analytics improve response times during situations where someone has entered an area they shouldn’t, whether due to safety concerns or because they lack the authorization. This analytic type allows security integrators and customer monitoring teams to precisely define when a situation should be escalated. Lines or regions can be set around a perimeter, entrances, or other key areas and take directionality into account to alert team members when an only an ingress event is triggered, improving response times and reducing false alerts.
Automate Detection Responses to Improve Agent Efficiency
Additionally, a cloud video platform can provide the ability to leverage multi-region analytics, where different areas within a camera’s view can trigger different workflows. When combined with active deterrence solutions, incidents can effectively be resolved before human intervention is required. Active deterrence solutions accomplish this by discouraging unwanted behavior before it escalates. Cameras equipped with white light LEDs or speakers can automatically activate in response to configured alerts, powered by enhanced AI analytics, drawing attention to active monitoring taking place and driving persons offsite before they trespass further into an area or continue loitering. This reduces workload on monitoring teams to talk down or dispatch a guard, while improving overall security for end users.
Better Vehicles Tracking Through License Plate Recognition Technology
By using LPR in a cloud video platform, monitoring teams can streamline the workflows needed to successfully track and react to known vehicles entering a property to improve response times and prevent incidents. LPR enables security integrators to identify and track vehicles of interest across customer locations, providing quicker validation of alerts tied to these events. This further improves response time and adds premium value to monitoring offerings.
Offer Intelligent Video Monitoring with OpenEye Video Analytics
OpenEye’s advanced AI analytics help dealers reduce false alerts, optimize operations, and increase customer security, in turn leading to an improved surveillance offering. These intelligent capabilities can drive greater revenue, with the ability to enhance monitoring services for customers. OpenEye Web Services’ (OWS) video analytics also enable flexibility for end users to leverage the cloud video solution themselves. This can be a great answer for those who have internal security teams and prefer to monitor their own businesses. Because of this, both security integrators and customers will be able to take advantage of the optimizations offered by OpenEye’s intelligent video analytics.
If your organization is interested in how OWS AI Analytics can drive greater value for your business, contact us or book a demo today.
