overview and solution overview: Introducing the AI layer on Genetec Security Center
Genetec Security Center is a unified platform for VIDEO, access control and ALPR that centralises physical security operations. It brings VIDEO streams, access control events and license plate reads into one console. Operators gain a single source of truth for site activity and incident handling. Adding an AI layer on top of this environment moves the platform from raw detections to context and faster decisions.
The AI layer unifies analytics, automation and ALERT flows so teams can prioritise what matters. It runs deep models over CAMERA FEEDS, correlates access control logs, and links ALPR events to incident timelines. This extra layer provides actionable intelligence and reduces time spent hunting through clips. For example, Ambient.ai integration supports intelligent forensic search and rapid review of footage and metadata, which helps teams complete investigations with intelligent search faster. See how forensic search works in airport contexts for an example of workflow integration: forensic search in airports.
This solution overview positions the AI layer as a bridge between raw alarms and guided responses. When an ALERT fires, the layer verifies the event and proposes a clear action. Operators see why an event matters, which reduces false positives and improves operator confidence. visionplatform.ai adds a reasoning layer that converts VIDEO into human-readable descriptions and recommended steps. That conversion helps operators search video with natural language, and it makes routine tasks faster.
Implementation options include on-prem or hybrid deployments. Organisations can connect the AI layer to the GENETEC SECURITY CENTER via SDKs or channels and keep video on site. This approach supports privacy and compliance needs while enabling AUTOMATION. The result is fewer manual steps, fewer missed events, and a more situational view of operations.
key market application: AI video analytics in security systems
AI VIDEO capabilities are reshaping where and how security teams deploy resources. Market growth confirms the trend: the AI in video surveillance market is expected to expand from USD 4.2 billion in 2021 to USD 12.1 billion by 2026 at a CAGR of 23.5% (MarketsandMarkets). This rising investment reflects real operational benefits. AI models detect anomalies, recognise objects, and identify faces in REAL-TIME feeds. They run across many CAMERA views and flag events that need human judgement.
In transport hubs, AI identifies unattended baggage, crowd density spikes, and vehicle movements. On campuses, it spots loitering and unauthorised entry. At critical infrastructure sites, it watches perimeters and flags access-control anomalies. For an example focused on loitering detection in airport environments, review our practical implementation: loitering detection in airports. These use cases show how AI reduces load on operators and helps security teams focus on high-risk incidents.
AI also improves response by correlating signals. A CAMERA sighting of a suspicious vehicle can be linked to an ALPR read and an access control event within seconds. That correlation shortens the path from detection to decision. In many deployments, AI-powered detection reduces false alarms and raises the signal-to-noise ratio for operators. The combination of VIDEO, sensors, and automated workflows enables faster, more consistent responses across sites and shifts.
visionplatform.ai complements this market shift by adding natural-language search and agent-based reasoning, which accelerates investigations and reduces scrolling through hours of footage. This matters in busy control rooms where speed and clarity determine outcomes.
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features and benefits: Ambient solution for intelligent analytics
The Ambient solution brings a focused set of functions that support fast, accurate work. Core features include deep-learning search, behaviour detection, and automated tagging of events. Ambient.ai applies models to VIDEO to classify actions, identify OBJECT types, and attach semantic tags to clips. That tagging lets operators find relevant moments without manual scrubbing. Video analytics provides the first layer of detection, while Ambient adds context and searchable descriptions.
Quantified benefits are compelling. Genetec case studies show that integrating AI analytics can reduce false alarms by up to 70% (Genetec case studies). An independent study from IBM reports that AI-powered security systems can cut incident response times by up to 30% (IBM Security). Those savings free teams to focus on incidents that truly require human oversight.
Ambient.ai’s forensic search capability accelerates incident review. Operators can query footage by behaviour, object, or natural language phrases and reach the relevant clip instantly. That capability supports investigations with intelligent search, and it reduces hours of manual review into minutes. The system also automates common tagging workflows so each alarm carries richer context.
Beyond detection, the Ambient approach supports automation. Alerts can trigger pre-defined workflows that collect evidence, lock doors, or notify field teams. The combination of deep models and rule-based responses turns passive VIDEO into an action-oriented resource. This improves situational awareness and operational efficiency across enterprise and facility operations.
intelligent automation use cases: Camera control and threat detection
Intelligent automation links detection to action. Use case 1 shows automatic CAMERA pan-tilt-zoom in response to loitering or a perimeter breach. When a model flags suspicious behaviour, the AI layer can focus PTZ views on the area, record higher-resolution footage, and produce an ALERT for the operator. This reduces the need for manual camera steering and helps secure perimeters more consistently. See practical implementations for perimeter-breach detection: perimeter breach detection in airports.
Use case 2 illustrates predictive alerts based on historical patterns and real-time data fusion. The AI layer analyses months of events to predict likely threat windows. When pattern shifts appear, the system notifies staff and raises the alert level. That predictive capability helps managers allocate guards and reconfigure patrols before incidents occur. It also supports vehicle detection and classification, which ties into traffic flow and parking security tasks. For vehicle-focused examples, consider this deployment note: ANPR/LPR in airports.
Use case 3 covers automated lockdown procedures. When multiple sensors and VIDEO confirm an intrusion, the AI-powered routine can automatically lock affected doors, notify duty officers, and dispatch guards with location details. These workflows can run automatically or await operator approval. Automation reduces response time and ensures consistent enforcement of security policies. Across these scenarios, AI adds speed, accuracy, and repeatability to routine tasks while keeping humans in control for high-risk decisions.
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capability to empower the team: Tech and video integration
An AI layer empowers the team by exposing intelligence in a single console view. Operators receive verified incidents, context, and recommended actions in one interface. The tech workflow begins with SENSOR and VIDEO ingestion. Models run on-prem where required for privacy and compliance. Events stream into the platform, which ties them to access control logs and other telemetry. When a verified threat appears, the system generates an ALERT and an action plan. This streamlines response and improves decision-making.
From a technical perspective, integration occurs via SDKs, channels, and VMS connectors. The AI layer can integrate with GENETEC and other VMS platforms to fetch CAMERA FEEDS, events, and metadata. Teams maintain control of data locality and model deployment, which helps with compliance. Staff training remains important. Operators should learn how the AI explains its flags and how to fine-tune thresholds. Clear governance reduces bias and keeps accuracy high. In this context, visionplatform.ai offers on-prem Vision Language Models and AI agents that explain detections and recommend actions, which helps operators trust the outputs.
Managing models and workflows requires a small set of skilled administrators. They tune rules, review false positives, and retrain models with site-specific examples. This continuous optimisation reduces alarms and improves the quality of alerts over time. The overall effect is a capability lift: teams respond faster, workloads drop, and operations scale without adding headcount.
transcript: Expert insights and next steps
Dr Sarah Thompson captures the shift: “The integration of AI with platforms like Genetec Security Center marks a paradigm shift in security operations. It not only automates routine monitoring but also empowers security teams with predictive insights that were previously unattainable.” Dr Sarah Thompson interview Her view highlights how AI changes the shape of work in control rooms.
John Smith from Genetec added that “Our AI layer enhances the Security Center’s capabilities by providing intelligent analytics and automated responses, which are crucial for modern security challenges.” Genetec press release These expert remarks show industry alignment around smart automation and improved situational awareness.
Data privacy must guide next steps. Facial recognition and behavioural profiling require GDPR and local compliance controls. Keep processing on-prem where required and limit data retention. Also, set audit trails and human-in-the-loop approvals to reduce risk. A recommended adoption roadmap starts with a pilot that integrates selected CAMERA streams and access control logs. Next, scale up proven workflows, then establish ongoing optimisation and governance. This pilot-to-scale path helps teams measure benefits and manage change.
Finally, organisations should measure KPIs such as false alarm reduction, response-time improvement, and operator time saved. The IBM study shows up to 30% faster response, and Genetec case studies report up to 70% fewer false alarms (IBM Security, Genetec case studies). Use those targets to guide deployment and to prioritise automation where it delivers the most value.
FAQ
What is the AI layer on top of Genetec Security Center?
The AI layer is software that runs over the Genetec platform to add reasoning, search, and automation to VIDEO and access control events. It verifies alarms, explains what the system saw, and recommends or executes responses.
How does AI reduce false alarms?
AI models add context by correlating CAMERA images with access and ALPR data, which filters out irrelevant triggers. Case studies report reductions in false alarms by up to 70% when AI verification is applied (Genetec case studies).
Can this AI work with existing cameras and VMS?
Yes. The layer connects via SDKs and VMS channels to ingest CAMERA FEEDS and events. visionplatform.ai supports ONVIF, RTSP cameras and integrates with leading VMS platforms to keep deployments flexible.
Is video processed in the cloud or on-prem?
You can deploy either on-prem or hybrid depending on compliance needs. For GDPR-sensitive sites, on-prem processing keeps video and models inside the facility to support privacy and control.
What are common use cases for airports and transport hubs?
Common use cases include perimeter breach detection, loitering alerts, ANPR/LPR workflows, crowd density monitoring, and unattended object detection. See specific airport examples such as loitering detection and ANPR/LPR in airports for more detail.
How does forensic search help investigations?
Forensic search converts video into text descriptions and tags, allowing natural language queries to find incidents quickly. That capability shortens investigations from hours to minutes; learn more about forensic search in airports here: forensic search in airports.
What governance is needed for facial recognition?
Strict policies are required for biometric processing, including retention limits, access controls, and documented lawful bases under GDPR. Keep audit logs and involve privacy officers before enabling facial features.
How do AI agents support operators?
AI agents provide suggested actions, pre-fill incident reports, and can execute repetitive tasks under policy rules. They free operators to handle complex incidents while maintaining human oversight.
What performance improvements can organisations expect?
Organisations often see faster incident handling and fewer false positives. Studies indicate up to 30% reduced response times and major drops in false alarms when AI verification is applied (IBM Security, Genetec case studies).
How should teams start with AI on Genetec Security Center?
Begin with a focused pilot that integrates a few CAMERA streams, access control events, and one automated workflow. Measure false-alarm reduction and response-time gains, then expand the deployment and tune models for site specifics.
