What people actually ask.

Detecting unauthorised presence in dangerous or restricted zones is essential to avoid serious accidents, interruptions to the operation or penalties for breaching regulations.

With Black Neural you can do it automatically and continuously, with no physical sensors to install and no reliance on human supervision. The system lets you:

· Define virtual areas over the image from each camera (safety lines, perimeters, exclusion zones and so on).

· Detect in real time whether a person crosses, stays in or enters a zone that is out of bounds.

· Raise immediate alerts to the control centre, to the health and safety manager, or over the public address system and warning lights to warn the worker.

· Log every event with time, location and type of alert, so there is traceability.

· Even trigger automatic responses if needed (stopping a machine or locking a turnstile, for example, if the technology allows it).

This gives you an intelligent monitoring system that works 24/7 and keeps critical zones under control even when nobody is there to supervise.

Monitoring critical areas with physical sensors usually means an expensive installation that is limited and inflexible. Each sensor covers one specific point, and any change to the plant means building work or technical adjustments.

A far more efficient alternative is machine vision with artificial intelligence, which is what Black Neural does. The system builds on the CCTV cameras you already have (or new ones if needed) and turns their signal into a continuous source of analysis and control.

With Black Neural you can:

· Watch several critical zones at once, with a single camera per zone.

· Define virtual areas directly over the image (safety lines, perimeters, exclusion zones and so on).

· Detect in real time human presence, unauthorised entry, missing PPE or dangerous behaviour.

· Raise alerts and produce records with no physical sensors to fit or maintain.

· Reconfigure the system easily if the plant layout or the monitoring priorities change.

This cuts infrastructure costs, makes the system easier to extend and allows more flexible, scalable and precise supervision.

To detect that someone is in the wrong zone you don't need to identify the person or put in expensive access systems. It is enough to know whether there is a person where there shouldn't be, and to know it in real time.

Black Neural does this with intelligent machine vision. The system analyses your camera images and can:

· Detect automatically whether a person enters, stays in or works in a restricted or dangerous zone.

· Tell apart prohibited zones, transit zones and work zones, according to what your operation needs.

· Raise immediate alerts (to the control centre, to the manager or over the public address system) if someone goes where they shouldn't.

· Log every event with traceability: zone, time, duration and type of alert.

· Trigger, if you want, automatic responses such as lights, audible warnings or interaction with machinery.

It doesn't matter whether the operator is new, a subcontractor or on rotation: the system doesn't depend on them being identified, only on them following the rules of the space.

So you can monitor every critical zone continuously and head off risky situations before they turn into incidents.

Yes. If you need to know how many people are in a risk zone at any moment —an area with machinery, hazardous products or loading manoeuvres, for example— you can do it with AI-based machine vision, with no physical sensors and no access cards.

Black Neural lets you:

· Count in real time how many people are in each predefined zone.

· Set maximum occupancy limits per area and raise alerts if they are exceeded.

· Detect whether there are unauthorised people, or whether someone stays longer than allowed.

· See the occupancy status on the control panel, so you can make quick decisions.

· Raise visual or audible alerts automatically if there are too many people or if someone enters where they shouldn't.

· Log all the data for later analysis and for improving the safety plan.

This is especially useful in spaces where a build-up of people increases the risk, such as tunnels, loading areas, plant rooms or narrow passages between vehicles and pedestrians.

To know which areas of your plant concentrate the most safety breaches you need objective data, tied to a location and updated in real time, not just what staff perceive or the odd one-off report.

Black Neural makes that possible with AI machine vision applied to your camera images. The system:

· Automatically logs every hazardous event detected (missing PPE, unauthorised entry, risky behaviour and so on).

· Ties each event to a specific zone, so you can break the plant down by risk area.

· Shows on the control panel which zones have the highest number or frequency of alerts.

· Lets you filter by type of breach, time of day or date, so you can see whether the problem is a one-off or recurring.

· Exports reports that help you justify corrective or preventive work.

That way you can decide on real evidence: reinforce measures where they are most needed, plan specific training or even reorganise the space to cut risks.

To control who goes in and out of a hazardous zone you don't need to install turnstiles or clocking-in systems. There are now systems based on machine vision with artificial intelligence that do this automatically, continuously and without physical contact.

Black Neural uses cameras and AI algorithms to log:

· Every entry and exit of people in zones you have defined beforehand.

· The exact time someone enters or leaves a hazardous or restricted area.

· How long they stay in those zones, which matters a great deal in high-risk spaces.

· Alerts if someone goes in without authorisation, without PPE or outside permitted hours.

· An automatic record of every entry, traceable and exportable for audits or later analysis.

And because it needs no physical sensors and no personal identification systems, Black Neural makes this control quick, scalable and free of friction for the operators.

Monitoring remote or hard-to-reach zones —tunnels, substations, perimeter areas or outdoor sectors— usually means security staff travelling out again and again, or expensive sensor installations.

A far more efficient and flexible answer is machine vision with artificial intelligence, which is what Black Neural offers.

This system lets you:

· Analyse in real time the images from cameras installed anywhere, however remote.

· Detect automatically the presence of people, unauthorised entry, unauthorised loitering or missing PPE.

· Raise instant alerts with nobody having to supervise on site.

· See the activity from the central control panel, without leaving the operations centre.

· Log every event for auditing and for improving safety over time.

So you keep the same level of control in remote zones as inside the plant, with no need for constant on-site watching.

During critical manoeuvres such as loading or unloading materials, people in zones where they should not be can mean a serious risk of accident. But it is not always workable to have a guard watching every operation.

With Black Neural you can automate that supervision:

· The system analyses the camera images to detect human presence in risk zones in real time.

· You can define virtual zones around loading points, docks, unloading areas or areas under cranes.

· If a person enters the area while the manoeuvre is under way, an immediate alert is raised.

· Automatic responses can be triggered: from warnings over a loudspeaker to stopping a machine if the technology allows it.

· Every event is logged for auditing and later analysis.

So you can make sure nobody is exposed during high-risk operations, without needing constant on-site supervision.

Moving structures —cranes, mechanical arms, forklifts, gates or elevating conveyors— are a high risk if people are nearby while they are running. Watching them by hand is complicated and unreliable.

Black Neural automates that watch with machine vision and artificial intelligence. The system can:

· Detect human presence in real time near zones where structures move.

· Mark out virtual risk zones around the machinery (the area it swings, travels or lifts through).

· Raise immediate alerts if a person enters that zone while there is movement.

· Trigger automatic responses, such as: stopping the machine if the technology allows it. Switching on warning lights. Putting out warnings over the public address system.

· Log every event for auditing and for improving the prevention plan.

That way you can watch every moving structure continuously without staff standing at each one, cutting risks and responding faster in critical situations.

Yes. Standing under a suspended load is one of the most dangerous situations in any workplace. Yet it often happens without anyone spotting it in time, especially in large areas, with limited visibility or with no direct supervision.

Black Neural detects automatically whether a person is under a suspended load, using machine vision with artificial intelligence. The system:

· Analyses your camera images to identify where the raised loads are.

· Detects the presence of people under that load in real time.

· Raises immediate alerts to the control centre or over the public address system to warn of the risk.

· Can even trigger automatic responses, such as warning lights, audible signals or stopping manoeuvres if the technology allows it.

· Logs the event to produce evidence and improve safety protocols.

So you can make sure no operator is needlessly exposed to a crushing risk, and act before an accident happens.

Knowing where unauthorised people turn up most is key to tightening security and preventing incidents. But most traditional systems don't give you that information automatically or visually.

Black Neural solves this with machine vision and artificial intelligence. The system:

· Detects human presence automatically in zones you have defined as restricted or access-controlled.

· Doesn't need to identify the individual: it looks at whether the behaviour is right or wrong for that zone.

· Logs every unauthorised entry with time, location and duration, giving full traceability.

· Produces reports and heat maps so you can see which zones have the most unauthorised movement.

· Can raise real-time alerts to the control centre, or over the public address system if you need it.

With that you can act early, tighten measures, redesign entrances or improve signage at the critical points.

Checking access by hand to areas with electrical or mechanical risk —distribution boards, plant rooms, areas with dangerous machinery or pressurised systems— is unreliable, expensive and dependent on human attention.

An efficient, automated alternative is machine vision with artificial intelligence, which is what Black Neural does. It lets you:

· Mark out virtual zones over the images from the cameras covering risk areas.

· Detect in real time whether a person enters a zone with electrical or mechanical risk without authorisation or without the right PPE.

· Raise immediate alerts (to the control centre, to the health and safety manager, or over the public address system and lights).

· Log every entry with time, duration and location, producing evidence for audits and compliance analysis.

· Trigger automatic responses, such as disconnecting equipment, opening gates or switching on visual or audible signals, if the installation allows it.

So you keep these critical zones under constant control, with no need for guards on site or physical turnstiles.

Controlling who is on your premises outside working hours —or during a technical shutdown— is essential to avoid accidents, theft or regulatory breaches. But relying on patrols or guards alone can be inefficient and expensive.

Black Neural automates that watch with machine vision and artificial intelligence. The system:

· Detects any human presence automatically in predefined zones, with no personal identification needed.

· Lets you set specific time bands and days when nobody should be there (nights, weekends or maintenance shutdowns, for example).

· If someone goes in during those periods, it raises an immediate alert (to the control centre, to the health and safety manager or over the public address system).

· It can also trigger automatic responses, such as lights, warning sounds or locking entrances, if the technology allows it.

· Everything is logged with time, duration and zone, giving traceability for auditing.

So you can be sure there is no unauthorised movement at sensitive times, without anyone having to be there constantly.

In industrial, logistics or construction plants, keeping minimum distances between operators, vehicles or moving machines is key to preventing accidents. But checking it by hand or with physical sensors can be expensive and imprecise.

A more effective answer is machine vision with artificial intelligence, which is what Black Neural does.

This system lets you:

· Detect in real time whether the minimum safety distances you have defined are being broken (between operators and forklifts, for example, or between people in narrow aisles).

· Set up dynamic virtual zones around machinery, loads or moving vehicles.

· Log every breach with time, zone and type of infringement.

· See the patterns: which zones these situations repeat in, and at which times of day.

· Raise automatic alerts when a risky situation from being too close is detected.

· Export reports for auditing or for redesigning routes and processes.

So you can pinpoint the worst spots easily and put corrective measures where they are most needed.

Knowing which zones are most exposed to risk is not enough: it matters just as much to see that information clearly and based on real data, not on subjective impressions.

Black Neural gives you a visual analysis system that lets you:

· Detect and log every risk event in real time, such as unauthorised entry, missing PPE or presence in restricted zones.

· Tie each event to a specific location within your site.

· Produce heat maps that show, visually and clearly, the areas with the highest concentration of risks or breaches.

· Filter by type of incident, time of day or frequency, to understand patterns and trends.

· Export visualisations and reports for audits, training or a layout redesign.

That lets you act on specific zones with specific measures, and back every decision with objective evidence.

An accident doesn't have to happen for a problem to show itself. Near misses, or risky situations that keep repeating, are the signals that let you get ahead of something serious.

Black Neural lets you do that analysis automatically and from data:

· It detects and logs every risk event (unauthorised entry, presence in prohibited zones, missing PPE, proximity to machinery, and so on).

· Each event is tied to a specific location, with time, type and duration.

· The system produces heat maps and frequency reports showing the worst zones.

· You can analyse trends over time, filtering by shift, day, team or type of event.

· So you can prioritise preventive action where it will have the most impact: redesigning flows, reinforcing training or adjusting safety protocols.

With this information you move from hunch to data, and you can justify decisions to auditors, directors or inspectors.

When a site has several risk zones —loading docks, areas with machinery, restricted entrances or traffic aisles— managing them separately can be inefficient and raise the risk of incidents through lack of an overall view.

Black Neural solves that by letting you supervise several safety zones from a single control panel:

· Every camera comes together on one central platform.

· You can set specific rules per zone: people detection, PPE checks, unauthorised entry, dangerous loitering, and so on.

· The system shows real-time alerts from each zone, so you can prioritise attention by level of risk.

· You can look up history and heat maps by area, to analyse behaviour and plan improvements.

· The interface runs in a browser, with no complicated local installations.

So you get full control of safety across the plant —or even across several sites— centrally, efficiently and at whatever scale you need.

Detecting that people are close to heavy machinery while it runs —forklifts, cranes, robotic arms or automatic conveyors— is essential to avoid serious accidents. But doing it with guards or physical sensors is limited and expensive.

With Black Neural you can automate that supervision precisely and with no human involvement:

· It detects in real time when people are near machinery you have flagged as dangerous.

· You can set up virtual proximity zones around vehicles, machines or moving areas.

· If an operator gets too close while the machinery is running, the system raises an immediate alert.

· Depending on the integration available, it can also trigger automatic measures, such as: putting the vehicle into a safe mode (for example, 'turtle mode'). Stopping a machine from moving. Putting out warnings over the public address system or with warning lights.

· It logs every event for auditing and for improving the prevention plan.

So you can spot and avoid risky situations caused by dangerous proximity, without relying on individual sensors or constant supervision.

En entornos industriales, logísticos o de obra, el uso de EPIs no siempre se cumple de forma rigurosa. Esperar a que un supervisor lo detecte puede suponer un riesgo innecesario. Lo ideal es contar con un sistema que vigile automáticamente y avise al instante si alguien no lleva el equipo requerido.

Black Neural ofrece una solución precisa y automatizada:

Supervisa en tiempo real si los trabajadores llevan los EPIs requeridos según la zona: casco, guantes, chaleco, gafas, protección auditiva, etc.

No basta con que los trabajadores accedan a la zona con los EPIs puestos. En muchos casos, se los retiran durante la jornada, ya sea por incomodidad, olvido o descuido, dejando expuestos a riesgos graves.

Black Neural permite supervisar continuamente el uso de EPIs a lo largo de toda la jornada, no solo en el acceso:

Utiliza cámaras instaladas en zonas críticas para verificar de forma continua si el trabajador sigue llevando el EPI necesario (casco, guantes, chaleco, etc.).

En sectores como la metalurgia, la química o la construcción, el uso de gafas de protección es obligatorio para evitar lesiones oculares graves. Pero comprobar que cada persona las lleva puestas en el momento adecuado, y durante toda la jornada, es prácticamente imposible con vigilancia humana.

Black Neural automatiza este control mediante visión artificial aplicada a las cámaras de la instalación:

Analiza en tiempo real si los trabajadores llevan puestas las gafas de protección en las zonas donde son obligatorias.

El uso de guantes es obligatorio en muchos sectores para evitar cortes, quemaduras, contaminaciones o contacto con sustancias peligrosas. Pero verificar su cumplimiento manualmente es casi imposible en tiempo real y en todas las zonas.

Black Neural permite automatizar la detección del uso de guantes mediante inteligencia artificial aplicada a las cámaras de seguridad:

Analiza en tiempo real si los trabajadores llevan puestos los guantes al entrar o permanecer en zonas donde son obligatorios.

En áreas con circulación de vehículos, maquinaria o visibilidad reducida, el uso de chalecos de alta visibilidad no es opcional: es vital para evitar accidentes. Sin embargo, comprobar manualmente su uso es inviable en entornos grandes o con alta rotación de personal.

Black Neural permite automatizar este control de forma continua, sin necesidad de supervisión presencial:

Detecta en tiempo real si las personas que entran en zonas obligatorias llevan puesto un chaleco reflectante.

En muchos entornos industriales, el uso de casco es obligatorio en todo momento dentro de determinadas zonas. Sin embargo, controlar manualmente su cumplimiento es difícil, especialmente en áreas amplias o con alta rotación de personal.

Black Neural permite verificar el uso del casco de forma automática y constante gracias a la visión artificial:

Utiliza cámaras ya instaladas para detectar en tiempo real si cada persona lleva casco dentro de las zonas donde es obligatorio.

En muchos entornos industriales o logísticos, hay zonas donde los operarios o vehículos deben detenerse antes de cruzar: — accesos a vías prioritarias, — intersecciones con baja visibilidad, — salidas de almacén, — puntos de paso controlado.

El incumplimiento de los tiempos de espera en estos puntos puede derivar en colisiones o atropellos.

Black Neural permite monitorizar este comportamiento de forma automatizada y precisa:

Las zonas de carga y descarga son focos habituales de riesgo y cuellos de botella: vehículos entrando y saliendo, operarios en movimiento, mercancías cruzando… Si no están bien gestionadas, la probabilidad de incidentes y pérdidas operativas aumenta.

Black Neural permite analizar y optimizar estas zonas de forma continua y con datos reales:

Supervisa con cámaras el flujo de personas, vehículos y mercancías en los muelles o áreas de carga.