AI4OS
AI-powered safety monitoring
Computer Vision and Artificial Intelligence to detect risk conditions, prevent incidents and protect people in production floors, warehouses and high-risk work environments.
Safety is not a cost. It is an investment.
A safer workplace protects people, reduces operational risks and strengthens the company.
For industrial and logistics environments, investing in safety means reducing incidents, unplanned downtime, indirect costs, disputes and productivity losses. At the same time, it improves work quality, increases employee trust and strengthens the company’s reputation with clients, partners, institutions and stakeholders.
With AI4OS, companies can turn safety investment into operational prevention: real-time insights to detect risk conditions, support faster intervention and make safety more concrete in everyday operations.
Because protecting people also means protecting the future of the business.
Protecting people, not monitoring them
AI4OS is not designed to control workers, measure productivity or evaluate individual performance.
Its focus is the operational context: unsafe areas, moving vehicles, machinery, suspended loads, blocked routes, missing delimitations, fire or smoke, man-down situations and other risk conditions that may affect people’s safety.
By turning field events into actionable safety insights, AI4OS helps organizations identify recurring critical conditions, strengthen procedures, improve training and build safer workplaces.
The goal is simple: protect people, not judge them.
From cameras to safety intelligence
AI4OS analyzes images from operational areas and transforms them into real-time safety information. The system detects people, vehicles, machinery, routes, work zones and potentially unsafe conditions, helping safety and operations teams recognize risks earlier and respond faster.
1. Image acquisition
Cameras capture real-time images from production floors, warehouses, logistics areas and other operational environments.
2. AI analysis
Computer Vision algorithms analyze people, vehicles, machinery, routes, work zones and risk conditions in the scene.
3. Alerts and safety insights
When a critical situation is detected, AI4OS generates alerts and turns visual data into actionable information for prevention and intervention.
From visual data to operational safety intelligence.
From near miss to prevention
A near miss does not cause an injury, but it reveals a real risk condition.
When these events repeat, they become important signals: they help companies identify recurring risks, strengthen safety procedures and improve the traceability of prevention actions.
AI4OS supports this process by detecting potentially dangerous conditions in real time and turning them into actionable safety insights. This helps safety and operations teams intervene earlier, analyze critical situations and build a more proactive approach to prevention.
Every detected near miss is an opportunity to prevent an incident.
Why AI4OS is useful for companies
AI4OS helps companies transform risk conditions into operational safety insights.
By detecting unsafe situations earlier, the system supports faster intervention, better prevention and continuous improvement across industrial and logistics environments.
Provide timely information to safety, operations and site teams when critical conditions are detected.
Detect risks and near misses earlier
Recognize potentially dangerous conditions before they escalate into incidents.
Enable faster intervention
Make prevention more visible, measurable and part of everyday operations.
Reduce interference between people, vehicles and machinery
Support safer coordination in dynamic environments where workers, forklifts, vehicles and equipment operate together.
Support a proactive safety culture
Built for dynamic, high-risk environments
AI4OS is designed for operational areas where people, vehicles, machinery and materials interact every day.
Its Computer Vision capabilities can be adapted to different layouts, workflows and risk scenarios across industrial and logistics environments.
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Production floors
Monitor risk conditions around machinery, production lines, robotic cells, temporary maintenance areas and moving equipment. AI4OS helps production teams identify unsafe situations earlier and support safer daily operations in complex manufacturing environments.
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Warehouses and logistics areas
Support safety where forklifts, pallet trucks, pedestrians, loading bays, storage areas and transit routes interact continuously. AI4OS helps detect dangerous proximity, blocked routes, obstacles, restricted area access and other risk conditions that can affect warehouse operations.
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Industrial plants
Detect unsafe access, PPE non-compliance, blocked emergency routes, man-down situations and presence near moving machinery. AI4OS supports safety management in plants where processes, equipment and people operate in shared and constantly changing spaces.
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Construction and outdoor operational areas
Support safety in dynamic environments with heavy vehicles, suspended loads, temporary work zones and changing site conditions. AI4OS can also be applied to outdoor areas, infrastructure sites and operational environments where risks evolve throughout the day.
AI4OS Key Features: From Critical Events To Moving Equipment, People and PPE
Protect workers by detecting unsafe conditions involving people, PPE and emergency situations. Reduce the risk of dangerous interactions between workers, forklifts, vehicles and moving machinery. Keep operational spaces clear, organized and safer by monitoring access, routes, obstacles and work area delimitations. Detect high-impact risk conditions that require fast awareness and timely response.
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Fire and smoke detection
Detect early signs of fire or smoke in operational areas. This supports faster awareness and response to potential emergency situations.
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Suspended load monitoring
Detect people or vehicles standing or moving under suspended loads. This can apply to cranes, hoists, overhead handling systems and lifting operations in industrial or construction environments.
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Collision risk detection
Detect people, vehicles or objects entering the operating area of moving machinery, robotic cells or mobile equipment. This helps reduce dangerous interference between people and active machinery.
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PPE compliance monitoring
Detect whether workers are correctly wearing the required personal protective equipment in operational areas. AI4OS can support the monitoring of helmets, high-visibility clothing, gloves, safety glasses and other PPE required by company procedures.
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Man-down detection
Detect situations where a worker is lying on the ground and may require immediate assistance. This enables faster awareness and response in case of a potential emergency.
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Work area delimitation monitoring
Verify whether work areas, maintenance zones, temporary risk areas or restricted spaces are properly marked and delimited. This helps create clearer separation between operational zones, pedestrian routes and restricted areas.
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Blocked routes and emergency exits detection
Detect obstacles along transit routes, pedestrian paths and emergency exits. This supports safer circulation across the site and faster evacuation in case of emergency.
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ID badge recognition
Support worker identification and access control by detecting ID badges in operational areas. This can help verify authorized presence in specific zones or controlled areas.
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Ladder and safety harness monitoring
Support the detection of unsafe conditions during work at height. AI4OS can help identify improper ladder use or missing fall protection in operational areas where work-at-height activities are performed.
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Custom risk scenario detection
Configure AI4OS to detect specific risk conditions based on each site’s layout, procedures and operational rules. Every operational environment is different. AI4OS can be adapted to the risk scenarios that matter most for your company.
Who AI4OS supports
AI4OS supports the teams responsible for safety, prevention and operational continuity.
It does not replace their responsibility. It strengthens their ability to observe, analyze and respond to risk conditions in the field.
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Real-time insights to identify unsafe conditions, recurring risks and critical scenarios across operational areas.
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Support for prevention, risk analysis, procedure improvement and workplace safety management.
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Greater visibility over risk conditions in production areas, operational flows and machinery interaction zones.
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Support for safer forklift circulation, pedestrian routes, loading bays, storage areas and emergency paths.
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Timely information to intervene faster during daily operations and support safer behaviors in the field.
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A more measurable, proactive and structured approach to workplace safety, with benefits for people, operations and business continuity.
Responsible AI for workplace safety
AI4OS is built around a clear principle: technology should support prevention, not surveillance.
The system focuses on detecting risk conditions in the operational environment. Its purpose is to help companies protect people, improve safety procedures and support continuous improvement.
AI4OS can be configured according to the company’s safety policies, operational context and compliance requirements.
Safety-focused AI. Human-centered prevention.
FAQ-Privacy, Compliance and Security
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Yes. AI4OS is designed to operate in compliance with major European regulations, with particular attention to data protection, responsible use of artificial intelligence, and workplace safety.
The platform is developed by NCM following principles of transparency, responsibility, and regulatory compliance.
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AI4OS is designed according to the principles of the GDPR (EU Regulation 2016/679).
The system automatically analyzes images from security cameras to identify potential risk situations, not to monitor individual workers.
Implementations may include measures such as:
data minimization
privacy by design and privacy by default
controlled access to data
anonymization or pseudonymization of data when appropriate
Operational deployment of the system must always comply with company procedures and applicable data protection regulations.
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AI4OS is developed according to the principles of the European Artificial Intelligence Act (AI Act).
The platform uses computer vision algorithms to analyze images and improve operational safety.
System development follows key principles such as:
transparency in the use of AI
risk management and mitigation
human oversight of operational decisions
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AI4OS is designed to support companies in preventing accidents and improving operational oversight.
The system can integrate with the main safety management tools required by Italian workplace safety regulations, including:
DVR – Risk Assessment Document
DUVRI – Interference Risk Assessment Document
PSC – Safety and Coordination Plan
POS – Operational Safety Plan
AI4OS does not replace these safety documents, but can help verify that operations are carried out under the expected safety conditions.
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Yes. AI4OS is designed to integrate with existing CCTV infrastructure.
The platform can analyze video streams from compatible security cameras, allowing companies to leverage their current surveillance systems without the need for major hardware changes.
This approach enables faster deployment while reducing implementation costs and operational disruption.