Emergencies must be identified immediately when rapid assistance is crucial

In critical infrastructure, industrial facilities, transport and logistics sectors, or large-scale operational sites, medical emergencies, falls or other acute hazardous situations can occur at any time. Particularly in places where large areas need to be monitored and staff are not always immediately on site, it is vital to detect emergencies quickly and respond without delay.

Whilst traditional video surveillance often records such situations, it does not automatically recognise their urgency. What is therefore crucial is not merely the recording of an incident, but the ability to visualise critical situations in real time, assess them correctly and feed them into existing response processes.

What happens if an emergency is spotted too late?

A person falls in a remote area of a company’s premises and remains motionless on the ground. The cameras record the incident, but the situation is not immediately recognised whilst operations are ongoing. It is only after some delay that it becomes clear that rapid assistance would have been required. This is precisely where traditional video surveillance reaches its limits: it records, but does not react.

SecuSite AI intervenes at an earlier stage, analysing video data in real time and helping to identify potential emergencies at an early stage and respond to them more quickly.

AI-powered video analysis for the early detection of emergencies

Our AI-powered video analytics solution, SecuSite AI, analyses video data in real time and automatically detects potential emergency situations. These include, for example, falls, motionless individuals or other unusual movement patterns that may indicate an immediate danger. This transforms passive video surveillance into an active system that provides targeted support to security managers and control centres in rapidly assessing situations and initiating appropriate measures. Event-based alerting and integration into existing security and reporting processes are integral parts of the solution.

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SecuSite AI analyses live video streams in real time and automatically detects signs of potential emergency situations. It does this by jointly analysing movements, objects and the context of a situation across multiple video frames. This enables the solution to detect, for example, whether a person has fallen, is lying motionless on the ground or is exhibiting behaviour that suggests an emergency.

These include, amongst others:

People falling in monitored areas
people lying motionless on the ground
unusual movement patterns that may indicate an emergency
sudden collapses or abrupt changes in position
noticeable inactivity in areas where movement would normally be expected

Relevant incidents are detected at an early stage, prioritised and prepared for further action. This reduces the workload on security personnel, improves the overview during day-to-day operations and helps to identify critical situations more quickly than with purely passive video surveillance.

Detecting a potential emergency is not the end of the process. SecuSite AI helps to process critical situations in a structured manner and integrate them into existing security and response processes. Incidents such as falls, unresponsive individuals or other conspicuous emergency situations can be automatically prioritised, documented and forwarded to the relevant authorities or downstream processes. Associated image and video information helps to assess situations more quickly, derive appropriate measures in a transparent manner and make decisions based on reliable information. The platform is designed to feed events into existing control centre, ticketing and reporting chains, rather than simply displaying safety-related alerts on a monitor.

In addition to immediate detection, SecuSite AI can also serve as a basis for further analysis. This enables security-related events, patterns and processes to be analysed in a more targeted manner, for example to identify anomalies, vulnerabilities or opportunities for optimisation. By integrating with existing EHS, emergency and incident management systems, detected incidents can also be documented and analysed in a structured manner, and used to continuously improve safety and preventative measures. Which analyses are appropriate and feasible in a specific context should be considered on a case-by-case basis and worked out in detail jointly.

Your benefits

Increased reaction speed

Potential emergencies are identified immediately. The relevant authorities can respond more quickly, before the consequences of a critical situation escalate.

Reducing the workload of security staff

Instead of having to constantly monitor all video feeds manually, staff are alerted specifically to relevant emergency situations.

Comprehensive documentation

Emergency incidents are documented, including the time, location and details of the incident. This facilitates traceability, analysis and internal review.

In-depth analysis

Recurring incident patterns and key risk areas become apparent. This enables protective measures and processes to be further developed on the basis of data.

The implementation

1. Planning

Comprehensive advice on defining relevant areas and analysis objectives. Risk assessment: What events might occur and which processes should be prepared for? Development of escalation plans for anomalies, breaches and critical incidents.

2. Installation

We integrate the data streams with our platform in compliance with data protection regulations. The solution can be operated as a cloud service on EU servers or on-premises within your own infrastructure.

3. Development

This is followed by training the artificial intelligence to improve its ability to detect anomalies and reduce false alarms. In addition, rules, escalation levels and triggering workflows are refined.

4. Operation

The application is put into live operation. Events are documented, video data is analysed, relevant anomalies are prioritised and reported, and the data is made available for further analysis.

That’s why Materna

In KRITIS environments, it is not enough simply to detect anomalies. What is crucial is that a detected incident is turned into a robust process: with clear classification, rapid escalation, technical interoperability and traceable documentation. This is precisely where Materna’s strength lies. We combine AI-powered video analytics with integration expertise, regulatory knowledge and experience in complex security and IT environments.

Understanding KRITIS

We combine technological expertise with a clear understanding of the regulatory and operational requirements of critical infrastructure.

Integration rather than a stand-alone solution

Our platform integrates with existing security, control centre and IT systems, rather than creating new silos.

Self-sufficient operating models

Depending on the protection requirements, the solution can be deployed on-premises, at the edge, in a hybrid environment or within defined cloud models.

From detection to response

We consistently view video analysis as part of an end-to-end security and escalation process.

Audit readiness right from the start

Documentation, traceability and interoperable reporting processes are taken into account right from the start.

End-to-end support

We support you every step of the way, from defining the use case right through to safe, large-scale operation.

Let’s go into more detail

AI-powered video analysis evaluates video data in real time and automatically detects signs of potential emergency situations. These include, for example, falls, motionless individuals or other unusual movement patterns that may indicate an immediate danger.

Traditional video surveillance records incidents but does not, as a rule, automatically assess their urgency. This means that critical situations may be detected too late, particularly in large areas with many cameras.

Among other things, the solution can detect falls, people lying motionless on the floor and other unusual patterns of movement or inactivity that may indicate an emergency.

SecuSite AI is designed to integrate relevant events into existing control centre, ticketing and reporting processes. This transforms a detection into a structured operational workflow.

The solution is particularly relevant for operators of critical infrastructure, industrial companies, airports, ports, energy suppliers and other organisations with extensive or security-critical operating environments.

Materna combines AI-powered video analysis with integration expertise, an understanding of processes and experience in the KRITIS environment. What matters is not only the detection of an incident, but also its operational integration into existing workflows.

Please feel free to contact us

Portrait von Ansprechpartner Marcus Goetting

AI-powered video analysis for the early detection of emergencies

How SecuSite AI detects emergencies

How incidents are dealt with

What other analyses are possible

Increased reaction speed

Reducing the workload of security staff

Comprehensive documentation

In-depth analysis

1. Planning

2. Installation

3. Development

4. Operation

Understanding KRITIS

Integration rather than a stand-alone solution

Self-sufficient operating models

From detection to response

Audit readiness right from the start

End-to-end support

How does AI help to detect emergencies earlier?

Why is traditional video surveillance often insufficient for detecting emergencies?

What types of emergency situations can SecuSite AI detect?

How can emergency detection be integrated into existing security systems?

For which organisations is AI-powered emergency detection particularly useful?

Why is Materna the right partner for this use case?

Please feel free to contact us

Marcus Götting Leiter Competence Center IoT

Marcus Götting
Leiter Competence Center IoT