AI video analytics
From camera scenes to contextual anomalies
The AI learns from the scene captured by each camera and builds a statistical baseline of what is usual in that camera’s operating context. It analyses the video streams in parallel and flags deviations for an operator to assess.
Context-driven video patrols
The scene is what the camera captures. Its operating context includes what typically happens in that area and at that time. The system learns a separate baseline for each camera, so the same movement may be ordinary during a shift and unusual after hours.
Bring unusual events to the operator’s attention
The video wall stays mostly black while the platform analyses the connected streams. The panes that light up show events that deviate from the learned baseline, with a single red outline around the area to assess. Operators review the event and follow their site procedures.
Targeted live checks in plain language
Native anomaly detection runs against the learned baseline. The team can add plain-language criteria for specific situations and have the AI agents apply them to live video. The project defines which criteria to use and how to verify their results.
Use compatible CCTV infrastructure
Compatible CCTV cameras can remain in service without replacement, upgrades or onboard AI. We verify the actual video streams and their connection to the existing video management system (VMS) or network video recorders (NVRs).
On-premises architecture and modular capacity
Video analytics and storage run on dedicated on-premises servers. The AI agents run on a separate local server. Video streams are processed on site throughout the analytics workflow. The video analytics workload is distributed across modules. Additional servers increase the number of connected cameras and video streams. We size the infrastructure against the project’s actual requirements.
Autonomous inspection robotics
Autonomous inspection robotics extends the same video analytics layer with mobile cameras and sensors. The device and supply model, including Robotics as a Service (RaaS), are selected with the client. Availability, interfaces, site suitability and testing are confirmed for each project. The forwarding AI agent sends the camera reference, time and position to the robot’s server. The project determines whether an operator starts a mission or it starts automatically under agreed procedures. The robot’s video feed can enter the system as an additional camera stream.
Recognition and specific security scenarios
Facial recognition and number plate reading are assessed for specific uses permitted by applicable Italian and EU law. Where the project includes targeted checks for weapons or objects used as weapons, context and operator review guide the assessment.
Technology and legal requirementsFrequently asked questions
Who is this for?
Security providers’ monitoring centres and organisations that operate their own control rooms.
See detailsHow does context-driven detection work?
The AI learns from the scene captured by each camera and builds a statistical baseline of what is usual in that camera’s operating context. It analyses the video streams in parallel and flags deviations for an operator to assess.
See detailsCan I use my existing cameras?
Compatible CCTV cameras can remain in service without replacement, upgrades or onboard AI. We verify the actual video streams and their connection to the existing video management system (VMS) or network video recorders (NVRs).
See detailsWhat can the team specify in plain language?
Teams can describe targeted criteria for live video. These checks supplement native anomaly detection, which already learns a baseline for each camera.
See detailsWhere do the video streams and AI agents run?
Video analytics and storage run on dedicated on-premises servers. The AI agents run on a separate local server. Video streams are processed on site throughout the analytics workflow.
See detailsHow does the inspection robot fit in?
Autonomous inspection robotics extends the same video analytics layer with mobile cameras and sensors. The device and supply model, including Robotics as a Service (RaaS), are selected with the client. Availability, interfaces, site suitability and testing are confirmed for each project.
See detailsHow do you choose technology providers?
I work with selected specialist providers and assess which configuration fits your operating requirements. I coordinate their work with the client, from requirements through field testing and integration.
See detailsWhich suppliers or product names do you disclose?
Supplier and product details are reserved for the appropriate project discussions. The site explains the functions, project requirements and integration process.
See detailsHow does the first integration affect my costs?
For the initial supply and integration, the technology provider pays for my agreed professional work. The client pays for the technology, equipment and services quoted by the provider. Later studies, refinements or operator training outside the initial scope are quoted separately when they are not covered by a subsequent supply agreement.
See detailsHow do I arrange an initial meeting?
Book a 30-minute appointment, call or email. The discussion starts with your site, video streams and current patrols.
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