Video Intelligence

Advanced analytics that leverage live and recorded video for actionable intelligence

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Intelligent Video Analytics for Security & Operational Awareness

Intelligent Video Analytics for Security & Operational Awareness

Intelligent video analytics turn passive camera feeds into proactive security and business tools. By using AI to detect critical events and patterns, modern surveillance systems can automatically alert staff to threats before they escalate and even provide operational insights like foot traffic counts or dwell times. In other words, video analytics add value far beyond recording footage – they enable faster responses, smarter decisions, and a safer, more efficient facility.

Automating Security Actions with AI Cameras

Traditional cameras required someone to watch for problems. AI-powered video analytics change that paradigm. They continuously analyze live video to recognize people, vehicles, objects, and behaviors in real time. When a potential security issue is spotted – such as an intruder breaching a fence line or an unattended bag – the system automatically triggers an appropriate response. This could mean sending an instant alert to security staff, activating an alarm, or locking down doors within seconds of detection. By reacting immediately to events, analytics help organizations catch threats early and coordinate a rapid response before an incident grows.

These analytics-driven actions dramatically reduce response times and lighten the load on human operators. Instead of staring at screens, your team can rely on AI to flag the important events. For example, unusual motion or loitering after hours can prompt an alert and spotlight the video feed for review. Advanced algorithms also minimize false alarms by filtering out innocuous movement (like animals or weather), ensuring that you’re only notified for genuine issues. The result is a smarter security posture – one that is preventive and driven by real-time intelligence rather than just reactive review.

Integration with Access Control, Alarms & Emergency Systems

A major advantage of Omni Data’s video analytics solutions is their integration into your broader security ecosystem. We design systems so that analytics don’t operate in a silo – they seamlessly work with other technologies through our SecNet™ architecture. Here are a few ways analytics tie into larger systems:

Access Control

Video analytics can cross-check with access control events to enhance physical entry security. For instance, if a camera’s facial recognition confirms an authorized employee at the door, the system can automatically unlock it for a frictionless entry. Conversely, if an unauthorized person tailgates behind someone or a door is forced open, analytics-triggered alerts can prompt an immediate lockdown or notify security to respond. This tight integration ensures that only the right people gain access, and any anomalies are caught in real time

Mass Notification

When analytics detect a critical threat – such as a person brandishing a weapon or an active shooter scenario – Omni Data can automatically activate mass notification systems. The moment a danger is recognized, pre-defined actions occur: digital signage and PA systems issue warnings, alarm sirens sound, and texts/push notifications go out to staff with safety instructions. By linking video analytics with mass notification, you achieve rapid, automated communication that keeps everyone informed and safe.

Alarm Monitoring & Intrusion Systems

Analytics-enhanced cameras act as intelligent sensors for your alarm system. We can link video detections (motion, line-cross, loitering) to your intrusion panel or monitoring center workflow. For example, after hours if a camera analytic detects movement in a restricted area, it can trigger an alarm event and send a video clip to your 24/7 monitoring center via platforms like CHeKT. This video verification allows central station operators to immediately see what caused an alarm – drastically reducing false dispatches and enabling quicker, more informed responses. By filtering out nuisances (pets, shadows, etc.) and providing visual context, analytics make remote monitoring far more effective.

911 Integration via RapidSOS

In worst-case scenarios, every second counts. Omni Data’s SecNet™ architecture leverages RapidSOS integration to share critical video and data directly with 911 dispatchers in an emergency. RapidSOS securely links life-saving data from connected devices (like security cameras and sensors) straight to emergency communication centers. This means if our analytics identify a serious threat – e.g. a weapon detected on camera – SecNet can immediately transmit live video or incident data to local 911 centers while simultaneously placing an emergency call. First responders gain real-time situational awareness (seeing what the camera sees) even before arriving on scene. By digitally bridging on-site security with public safety, we ensure the fastest, most informed emergency response possible

All of these integrations are engineered to work together seamlessly. Omni Data’s team makes sure your cameras, analytics software, access controls, alarms, and communication networks operate as one cohesive system. The moment an analytic trigger fires, the right people and systems know what to do – whether that’s unlocking a door, sending an alert, or calling for help. It’s a holistic approach that transforms cameras into active participants in your security strategy.

Leading Video Analytics Platforms & Unique Capabilities

Omni Data partners with industry-leading platforms to bring you the best in intelligent video analytics. Each solution we support has unique strengths that can be tailored to your needs:

  • Milestone XProtect: A powerful open-platform VMS (Video Management System) known for its rich integration capabilities. XProtect ties together cameras and analytics metadata, enabling Smart Search tools that let you quickly sift through hours of footage based on attributes (such as a person’s color clothing or vehicle type). It seamlessly ingests AI-generated metadata from cameras or third-party analytics and makes incidents easily searchable in its Smart Client interface. The result: faster investigations and evidence gathering by filtering video for the specific objects or behaviors you’re looking for, rather than manually scrubbing through feeds.

  • BriefCam: An analytics software famed for its patented Video Synopsis® technology. BriefCam can condense hours of surveillance video into a short “synopsis” clip by simultaneously presenting moving objects that occurred at different times. Security teams can review a whole night’s footage in minutes, drastically accelerating investigations. Its forensic search capabilities allow filtering video by myriad attributes – men, women, vehicles, colors, direction, speed, size, and more – to pinpoint a person or incident of interest with ease. BriefCam essentially turns your recorded video into a queryable database, enabling rapid evidence review and even quantitative insights (like count reports and dwell analysis).

  • Evolon: A specialist in AI-powered perimeter security. Evolon’s analytics excel at long-range outdoor detection and virtual fence lines – ideal for protecting yards, campuses, and critical infrastructure. The system uses advanced object classification (distinguishing people vs. vehicles vs. animals) to dramatically cut down nuisance alarms. In fact, Evolon’s AI can eliminate up to 98% of false alarms by using deep learning to recognize real threats and ignore irrelevant motion. When a genuine intruder is identified, Evolon can automatically verify it (often with a second AI check) and then alert security or even initiate deterrence (like triggering a spotlight or siren). The focus is on proactive crime prevention: stop intruders at the fence through reliable detection and filtering.

  • Avigilon (Motorola Solutions): A comprehensive solution with built-in analytics on its cameras and VMS. Avigilon offers Appearance Search technology – a sophisticated deep-learning AI search engine that lets you quickly find all instances of a specific person or vehicle across all cameras. For example, you can select a face or upload a photo, and the system will track that individual’s route through various cameras and timestamps. Avigilon cameras also perform real-time object classification (identifying people, cars, etc.) and unusual event detection. Their patented Unusual Motion Detection (UMD) learns what “normal” activity in a scene looks like and flags atypical movements automatically– even without pre-defined rules. This helps operators spot odd behaviors or incidents that may have been overlooked. Combined with AI-driven appearance and facial recognition features, Avigilon provides a very proactive surveillance capability, from finding a missing person quickly to noticing strange activity as it happens.

  • Hanwha Techwin Wisenet WAVE: An intuitive, scalable VMS that fully leverages Hanwha’s AI camera analytics. WAVE has native AI integrations – meaning if you use Hanwha’s AI cameras (with on-board analytics for detecting people, faces, vehicles, etc.), the VMS will directly ingest those events and allow you to set up custom triggers and rules. For example, you can configure WAVE to pop up an alert or mark footage whenever a camera detects a person crossing a virtual line or a car in a no-parking zone. This platform can classify objects in real time and present those classifications during both live monitoring and search, making it easy to filter recorded video by object type or attributes. In short, WAVE + Hanwha cameras deliver an end-to-end solution: edge AI detection at the camera, and responsive event management in the VMS. (Not to mention, Hanwha provides these analytics license-free on many cameras, making it a cost-effective option for AI surveillance.)

  • Alarm.com for Business: A cloud-managed security platform that brings advanced video analytics to SMB and enterprise security systems. Alarm.com’s analytics use AI in the cloud to differentiate the source of motion – is it a person, a vehicle, or an animal? – and deliver smarter video alerts to users. This means you get notified for the things you care about (like a person lingering by a door after hours), while mundane motion (trees blowing or a cat running by) is filtered out. Alarm.com cameras capture smart clip recordings that begin when a person or vehicle is detected, so you see the relevant footage immediately. The platform even supports familiar face and vehicle recognition to alert you when known or unknown people/vehicles arrive. All of this is accessible through an easy web/mobile dashboard, since Alarm.com is a fully cloud-based solution – perfect for multi-site businesses or those who prefer offsite video storage with AI-driven intelligence.

  • Coram AI: An emerging innovator providing cloud-enhanced AI video security. Coram specializes in high-value analytics like weapon detection and facial recognition for active threat scenarios. Uniquely, Coram employs a hybrid edge/cloud approach: their on-site device (Coram Point) runs powerful AI models locally on your video feed – for instance, scanning every frame for the presence of a firearm – without needing internet. If a potential weapon is spotted, the system instantly sends that data to Coram’s cloud for additional analysis to verify the threat and reduce false positives. Within seconds, you receive an alert of a confirmed gun detection, and the workflow can even automatically place a 911 call or lockdown signal as configured. This two-step AI process (edge detection + cloud confirmation) yields extremely low false-alarm rates and very fast response. Coram’s facial recognition similarly can identify persons of interest (like known bad actors or VIPs) across your cameras, enabling alerts for those faces. The cloud management means you get an intuitive web interface and updates to the AI models over time, ensuring your system is always improving. For organizations concerned with active shooter threats or unauthorized individuals, Coram delivers cutting-edge intelligence with plug-and-play ease.

  • CHeKT Visual Verification: A platform focused on bridging video surveillance with 24/7 alarm monitoring. CHeKT isn’t about fancy AI analytics; instead, it’s about making sure any alarm event is visually verified in real time. Omni Data uses CHeKT to link your security cameras with traditional intrusion sensors and monitoring centers. When an alarm sensor (door contact, motion detector, etc.) is tripped, the CHeKT bridge immediately pulls up the corresponding camera feed or a short clip of that zone and sends it to the monitoring station and to your security appe. This way, the live monitoring operators (or your team) can see exactly what caused an alarm – whether it’s an actual intruder, an employee entering late, or a false trigger like an animal. By providing that context instantly, response can be prioritized correctly (and unnecessary police dispatches avoided). CHeKT also offers some basic analytics on its own (filtering out certain false triggers automatically) and even two-way capabilities like talk-down audio or triggering outputs (flashing lights, sirens) through the camera system. The bottom line: CHeKT adds a human-verification layer to analytics, ensuring that when an alarm goes off, both you and the monitoring pros have eyes on the situation within seconds, for smarter decision-making.

From Analytics to Action: Designing Proactive Security Workflows

Implementing video analytics isn’t just about fancy algorithms – it’s about using them to take the right actions at the right time. Omni Data specializes in designing end-to-end workflows so that when an analytic event occurs, it triggers a cascade of security protocols tailored to your environment. Consider a couple of real-world examples:

  • Frictionless Authorized Entry: We can integrate facial recognition or badge-video verification at your entrances. When a camera analytics module recognizes an employee’s face or matches a badge scan to the video, our system can automatically unlock the door without waiting for human intervention. The event is logged (with a snapshot of the person) for audit trail, but the entry is seamless. No more PIN codes or guards needed for every door – the camera itself becomes the credential reader. This not only speeds up access for authorized personnel but also adds security: if an unrecognized person attempts entry, the system denies access and alerts security instantly to investigate.

  • Automated Threat Response: In a high-risk scenario such as a weapon detection, speed is everything. Omni Data can configure your analytics so that the moment a camera detects, say, a gun in someone’s hand, it initiates an automated lockdown of that area. Electronic door locks can secure the facility or specific zones, a mass notification can broadcast a “Code Red” alert building-wide, and an emergency feed can be sent to law enforcement – all within moments of the weapon appearance. Likewise, if an unknown vehicle pulls into a secure loading bay after hours, the system might flash on bright floodlights, trigger a verbal warning over speakers (“You are trespassing, authorities have been notified”), and send a live video clip to your security manager’s phone. By pre-defining these action sequences, you ensure no time is lost when a serious incident occurs – the system is effectively on autopilot to mitigate threats.

The key to these workflows is customization. Omni Data works closely with your team to map out various analytic triggers (from mundane events like person loitering to critical ones like gun detected or facial match failure) and decide what the appropriate response for each should be. We leverage the capabilities of your whole security stack – cameras, access control panels, alarms, notification systems, and more – so that each analytic event automatically engages the right components. Your security policies essentially become automated rules. The benefit is twofold: consistent, immediate responses (no hesitation or human error) and freeing up your security personnel to focus on coordinating and decision-making rather than flipping switches. When a genuine threat arises, the system has already begun containing it before anyone even picks up the phone.

Flexible Deployment: Edge, Cloud, or Hybrid Analytics – All Unified Under SecNet™

One size does not fit all when it comes to deploying video analytics. Depending on your facility’s needs, Omni Data can implement analytics at the edge, in the cloud, or a hybrid combination – and our SecNet™ architecture will ensure it all operates seamlessly as one network. Each approach has its advantages:

  • Edge Analytics (On-Camera or On-Premise): Many modern IP cameras can run AI analytics right on the device or on a local NVR appliance. This offers ultra-fast detection with minimal latency, since video doesn’t have to be sent off-site for analysis. It also saves bandwidth – only the events need to be transmitted, not full video streams. Edge-based analytics make sense for real-time deterrence (e.g. a camera strobe light that activates the instant an intruder is detected on the premises). Omni Data often uses edge analytics for sites that require split-second automation or have limited internet connectivity.

  • Cloud/Server Analytics: Cloud-based analytics provide massive processing power and scalability. Your camera feeds can be analyzed by advanced AI engines in data centers, which is ideal for computationally heavy tasks like facial recognition across dozens of cameras or deep learning models that improve over time. Cloud analytics also make it easy to add more cameras or locations without installing new on-site servers. You benefit from continuous updates (as providers improve their AI models) and can access the system from anywhere through web portals. Some of our partners like Alarm.com and Coram AI leverage cloud infrastructure to deliver powerful features without burdening your local network. The trade-off is a slight increase in latency and the need for reliable bandwidth, but for many applications the flexibility is well worth it.

  • Hybrid Approach: Omni Data often finds the sweet spot in a hybrid deployment – running certain analytics at the edge and others in the cloud. For example, basic motion detection and line-crossing might run on the camera (edge) for instant perimeter alerts, while a more complex people-counting or face matching algorithm runs in the cloud for accuracy. Our SecNet™ architecture is built to accommodate hybrid systems, routing each camera’s feed to the appropriate analytics engine and then consolidating the alerts/events back into one cohesive dashboard. Hybrid designs give you the best of both: speed and efficiency on-site, combined with the virtually unlimited horsepower of the cloud where needed. And as your needs evolve, we can shift workloads between edge and cloud to balance performance, cost, and capability.

No matter which deployment model fits your situation, all the analytics data – whether generated on a camera at your facility or in a cloud server across the country – gets unified through Omni Data’s SecNet™. This secure network architecture brings together the real-time events, metadata, and video streams from all sources and presents them in a single, integrated view for operators. You might have some analytics running on cameras, some on an on-site server, and some via cloud services; through SecNet™ they function like one system. Context is shared across platforms too: for instance, an intrusion analytic from an edge device could trigger a cloud-based notification workflow, or vice versa. SecNet acts as the central nervous system, making sure that every alert, video clip, and system reaction flows to the right places – be it your command center software, the 911 integration, or an operator’s mobile app.

In practical terms, you get a unified dashboard where all analytics-driven events are aggregated and displayed in real time. Imagine seeing a timeline of alerts color-coded by type (access, motion, object detected) and mapped on your facility floor plan, with the ability to click any event and instantly view the related video. That’s what our integrated SecNet approach delivers – total situational awareness. It ensures that whether analytics are at the edge or in the cloud, you aren’t juggling different systems or interfaces. Everything funnels into one user-friendly command center, so your security team can see the big picture and drill down into details as needed. This architectural flexibility and unity is a core part of Omni Data’s value: we future-proof your investment by supporting analytics anywhere they may run, and networking it all together for maximum impact.

Ready to Enhance Your Security with Intelligent Analytics?

Investing in intelligent video analytics can feel like a big step, but with Omni Data as your partner it’s a seamless transition toward a smarter, safer operation. Our team has deep expertise in both the technology and the strategy – we don’t just drop in software and leave; we work consultatively to tailor solutions that meet your specific security and operational goals. Whether you’re looking to augment an existing camera system with AI capabilities or designing a new fully-integrated security network, we’re here to guide you every step of the way.

Take the next step to elevate your security. Book a consultation with Omni Data’s experts today – we’ll assess your needs, demo the latest video analytics in action, and design a custom solution that leverages these advanced tools to safeguard your people and properties. Empower your organization with automated security decisions, real-time situational awareness, and actionable intelligence. Together, let’s build a smarter security infrastructure for your facility. Contact us now to get started on a custom video analytics solution that gives you eyes on everything – and the intelligence to act on what matters.