What people really ask.

Black Neural is a solution based on artificial intelligence that analyses your camera images in real time to detect risk situations, unsafe behaviour and breaches of workplace safety rules.

Unlike other systems, Black Neural does not record or store video. It interprets what is happening and generates only anonymous data and relevant events, which are stored so that you can audit, measure and act.

What can it detect?

· People present in dangerous or restricted areas.

· Incorrect use or absence of personal protective equipment (PPE).

· Dangerous proximity between workers and moving machinery.

· Risky conduct, such as running, entering active areas or being distracted.

· People under suspended loads or during loading and unloading manoeuvres.

How does it improve safety?

· It prevents accidents by issuing alerts in real time.

· It records risk events, which makes follow-up and continuous improvement easier.

· It cuts the need for constant visual supervision, helping the safety team act only when necessary.

· It generates indicators (KPIs) that let you assess compliance and take decisions based on data.

Black Neural turns your cameras into intelligent safety sensors, without invading privacy and without installing new equipment.

The key difference is that Black Neural does not record or watch people: it analyses situations. Where a traditional CCTV system shows and records images for someone to review by hand, Black Neural interprets in real time what is happening in those images and generates automatic alerts when it detects a risk.

It does not need constant supervision, it does not store video and it does not invade privacy. Its purpose is not to record what happened but to get ahead of what may happen: to detect a person in a dangerous area, a worker without PPE, movement where it should not be or unsafe conduct, and to warn at the time.

· CCTV is passive and depends on human review.

· Black Neural is proactive, autonomous and aimed at prevention.

It turns your cameras into intelligent safety sensors, without recording, without supervising and without spending time reviewing images.

The key difference is that it does not record or watch people: it analyses situations.

Black Neural can detect a wide range of visual workplace risks, straight from the cameras you already have installed. It does not record or identify people; it analyses what happens in each work area and raises alerts when it detects situations that compromise safety.

Some examples of risks it detects in real time:

· Presence in dangerous or restricted areas.

· Workers without mandatory PPE (hard hat, high-visibility vest, gloves, eye or ear protection, and so on).

· People under suspended loads or during lifting manoeuvres.

· Dangerous proximity between pedestrians and moving machinery.

· Improper movement (wrong direction, off route, straying into pedestrian walkways).

· Access outside working hours or unauthorised presence in sensitive areas.

· Unsafe conduct, such as running, distraction in critical areas or high-risk postures.

· People stopping or building up in walkways or work areas.

Each detected event generates an automatic record and can come with an immediate alert, whether visual, audible or digital (screen, siren, email, and so on).

Putting Black Neural into an industrial plant lets you improve safety, cut costs and take decisions based on real data, without recording video and without adding to the supervision workload.

These are some of its main benefits:

· Accident prevention through automatic alerts when a risk situation arises.

· Fewer unplanned stoppages caused by avoidable incidents.

· Immediate detection of breaches in PPE use, movement and access to critical areas.

· Continuous supervision without constant human watching.

· Traceability of risk events, useful for audits, investigation and continuous improvement.

· Objective, measurable data on operational safety (KPIs).

· Prioritisation of risk areas from the analysis of patterns and recurrences.

· Better regulatory compliance and less legal risk.

· Better use of prevention resources, acting only when it is really needed.

· Greater awareness among staff, who know the areas are monitored automatically.

Black Neural turns your cameras into an intelligent safety analysis network, letting you move from a reactive model to a predictive and proactive one.

No. Black Neural does not replace safety staff, it complements them. Its job is to act as an automated monitoring system that detects risks constantly and in real time, so that the human teams step in only when they need to.

Thanks to artificial intelligence, Black Neural cuts the load of manual visual supervision, stops dangerous behaviour being missed and lets the people in charge of safety concentrate on analysing, acting and improving instead of watching all the time.

· It does not replace people, it strengthens their work.

· It provides objective data, records and indicators.

· It improves the team's efficiency and reinforces prevention.

It is a tool that extends what the safety team can do, it does not remove it.

Black Neural helps reduce workplace accidents by detecting in real time the risk situations that normally go unnoticed or are spotted too late.

Its artificial intelligence analyses your camera images and triggers immediate alerts for unsafe behaviour, improper access, incorrect PPE use or dangerous movement. That lets you step in before an incident happens.

Black Neural also records critical events automatically, which lets you analyse patterns, identify problem areas and take preventive decisions based on objective data.

The result?

· Fewer accidents.

· A faster response to dangerous situations.

· A better prevention culture.

· Safer, better controlled working environments.

It is not a system that acts after an incident, it is a tool that helps stop it happening.

The return on investment of Black Neural is usually quick and tangible, especially in industrial settings with medium or high risk levels.

Why? Because the tool acts directly on the factors with the biggest impact on operating and safety costs:

· It reduces accidents, which means fewer sick leaves, less compensation, fewer stoppages and less legal paperwork.

· It avoids penalties for breaches of safety regulations.

· It makes better use of resources, letting the safety staff concentrate on what matters.

· It improves prevention, which means fewer repeated or chronic incidents.

· It provides real data, which lets you take more effective decisions and cut hidden costs.

In many cases the ROI starts to show in the first few months, by avoiding even a single accident with serious or repeated consequences.

And because it needs no extra physical sensors and uses the cameras you already have, the initial investment is lower than with other industrial safety solutions.

Black Neural is meant for any company that wants to improve workplace safety with automated visual analysis, but its impact is especially high in places with:

· Movement of people and machinery.

· Dangerous or restricted areas.

· Mandatory PPE use.

· High staff turnover or subcontractors.

· Repetitive processes where routine or carelessness creates risk.

Some sectors where Black Neural is already producing real benefits:

· Industry and production plants

· Logistics and warehouses

· Construction

· Food and agri-industry

· Energy and infrastructure

· Distribution centres and cross-docking

· Aviation, rail and ports

· Waste, recycling and environmental management

In general, if there are cameras installed and visible risks in the working environment, Black Neural can be switched on without interrupting the operation, to reduce accidents, detect breaches and generate key safety data.

No. Black Neural is not limited by the size of the site but by the kind of risks that can be seen through cameras.

It is very powerful in large industrial or logistics plants, but it can also be deployed in small or medium spaces, as long as there is visible activity that involves risk: entrances, movement, PPE use, people and machinery moving about, and so on.

Its model also scales:

· You can start with one or two key cameras.

· It needs no building work and no extra sensors.

· It adapts as the business grows and as the layout of the space changes.

That makes it as suitable for a company with a single unit as for an operator with several locations.

Black Neural acts as a support system for regulatory compliance, helping companies detect, record and correct breaches automatically, without depending only on manual supervision.

In practice that means:

· Real-time alerts for situations that go against the regulations (access to dangerous areas, missing PPE, improper movement, and so on).

· Automatic, traceable recording of events, useful in inspections, audits and safety committees.

· Objective indicators (KPIs) on use of protective equipment, the highest-risk areas, repeat occurrences and response times.

· Less exposure to penalties, by detecting breaches before they escalate into incidents or complaints.

· Documentary and visual support that makes prevention decisions easier and strengthens the safety plan.

And because it does not record video or identify people, it complies with data protection rules and can be adapted to each company's internal policies.

Black Neural does not replace your procedures, but it gives you a powerful tool to check in real time that they are being followed and to act on evidence.

The difference is in the flexibility, the coverage and the kind of data you get.

Physical sensors (laser, pressure, infrared, and so on) are usually designed to detect presence or specific events at very specific points. They work well on tightly defined tasks, but they need physical installation, constant maintenance and configuration area by area.

Black Neural, on the other hand, uses the cameras you already have installed, and with artificial intelligence it can interpret everything that happens within the field of view:

· Who enters a dangerous area.

· Whether someone is wearing their PPE or not.

· Whether there is improper movement or risky manoeuvring.

· Which behaviours repeat and where the incidents happen.

On top of that:

· One system can cover several visual risks at the same time.

· It requires no changes to the infrastructure.

· It adapts to changes in the layout of the space without reconfiguring hardware.

· It does not record or identify people: it processes images in real time and generates only anonymous data.

In short, sensors detect isolated facts. Black Neural interprets whole contexts and acts proactively, with more information, more accuracy and less installation.

Black Neural detects risk situations in real time and raises automatic alerts that combine digital and physical channels, and it can act directly on the environment. That allows an immediate response without waiting for someone to step in.

Possible alerts (depending on the situation detected)

· Access to dangerous or restricted areas.

· Missing or misused PPE (hard hat, high-visibility vest, gloves, ear or eye protection).

· Presence under suspended loads or near working machinery.

· Improper movement (vehicles in pedestrian areas, wrong direction, straying off route).

· Unsafe conduct such as running, distraction or risky postures.

· People building up in walkways or risk areas.

Channels for receiving and acting

· Control panel or central dashboard (PC or tablet).

· Email with the event details (type, time, location).

· Company apps such as Teams or Telegram.

· Integration with existing systems (SCADA, VMS, ERP).

· Visual and audible alarms, such as sirens, beacons and warning screens.

· Public address or loudspeakers, to put out immediate messages on the floor.

Direct physical automation:

· Alert lights or 'stack lights': tower lights that change colour according to the risk (red for an emergency, for example).

· Connection to machinery: switching forklifts or other vehicles into slow ('tortoise') mode. Automatically stopping dangerous machines (a lathe or a press, for example) if a worker is too close.

· Switching lights on or off in specific areas to signal an emergency, guide evacuations or isolate areas.

· Integration with emergency buttons or industrial IoT: triggering protocols such as fire alarms, door locking or messages to the emergency services.

· Early fire or smoke detection with AI, which can set off fire suppression systems or specific alerts before conventional methods pick it up.

Every alert is recorded, which lets you analyse effectiveness, response times and regulatory compliance.

In most cases the benefits of Black Neural start to show in the first few weeks after commissioning.

From day one the system starts generating real-time alerts and recording risk events that would normally go unnoticed. That lets you act immediately to:

· Correct unsafe habits.

· Reinforce PPE use.

· Control improper access or incorrect movement.

· Detect repeated risk patterns.

At the same time, objective data starts to build up, letting the safety manager see trends, prioritise preventive action and take decisions with real backing.

And because it needs no building work and no physical sensors, it goes in quickly and without interruptions. You connect the existing cameras, set up the analysis areas and start running.

Result:

· Immediate impact on prevention.

· Useful indicators from the first week.

· A steady fall in incidents over the first weeks or months.

Not having a tool like Black Neural in environments with visual risks can carry a high cost on several levels: human, financial, operational and legal.

The main consequences of not having a proactive detection system:

· A higher chance of workplace accidents, with the direct costs that come with them: compensation, sick leave, court cases, stopped activity or administrative penalties.

· Breaches of regulations that are hard to justify, with no records and no objective evidence of prevention.

· No data on which to base safety decisions, which leads to reactive action rather than preventive action.

· Overload on the safety staff, who have to watch by eye what could be automated.

· No knowledge of high-risk areas or behaviour, which end up being treated as normal until they cause a serious incident.

· Loss of reputation inside and outside the company, especially where safety is a strategic value.

Not having a system like Black Neural means taking on the risk of paying a far higher cost than putting it in, without noticing.

Beyond the financial impact, there is the cost of not having the peace of mind that your prevention plan is improving day by day, of not having a steady — and measurable — reduction in risk. It means giving up workplace safety that evolves with you and gets stronger over time.

Yes. Black Neural is not only for detecting risks in real time; it is also a very powerful tool for internal safety auditing.

Every detected event is recorded with the date, time, type of incident and location, which lets you:

· Trace breaches or patterns of unsafe behaviour.

· Show that the preventive measures are active and working.

· Assess whether the corrective actions put in place are effective.

· Analyse trends by shift, area or type of event, and identify repeat occurrences.

· Compare indicators between areas or work centres to apply good practice.

All this information can feed safety committees, review how the prevention plan is being followed, and prepare external audits with real, objective data rather than perceptions.

It also lets you document progress in the continuous improvement of the prevention system, with automatic evidence and without depending on manual reports or constant supervision.

Black Neural is designed to work in both phases: prevention and analysis.

In real time, it detects and alerts on risk situations. Beyond that, every event is recorded with detailed information (area, date, time, type of incident, duration, and so on), which lets you:

· Review what happened, when and where after an incident or a near miss.

· Analyse patterns of behaviour or breaches that came before the event.

· See whether there were earlier alerts nobody acted on, or repeat occurrences in the same area.

· Support the internal investigation with objective data, without relying on witness accounts.

· Document the incident with traceability for safety committees or audits.

The events Black Neural records anonymously give you enough information to reconstruct the context and understand what failed, which corrective measures to apply and how to stop it happening again.

The prevention team needs no technical training and no knowledge of artificial intelligence to use Black Neural. The solution is built so that health and safety professionals can easily interpret the data, alerts and records the system generates.

To get to know how it works, the team only needs the BI panel user manual, which explains clearly and in order:

· How to get into the control panel.

· How to view alerts, detected events and monitored areas.

· How to consult the KPIs and statistics generated.

· How to export data for audits or internal reports.

The system is designed to make supervision and decision-making easy without depending on technical staff. And if at any point areas have to be changed or the configuration adjusted, the Infinity Neural technical team does that work directly.

Black Neural is already in place and working in industrial, logistics and urban settings where workplace risk prevention and the visual detection of hazards are essential.

Some of the sectors where it already runs:

· Manufacturing: to control PPE use, improper access and movement between workers and machinery.

· Logistics and distribution: watching loading and unloading areas, detecting dangerous proximity, controlling transit routes and the use of protective equipment.

· Construction and infrastructure: detecting people under suspended loads, marking out risk areas and watching critical manoeuvres.

· Agri-food: supervising cleaning routines, checking PPE, staff flows and hygiene conditions.

· Waste management and recycling: identifying unsafe behaviour, improper access to machinery and keeping pedestrian and operating areas apart.

· Energy and utilities: controlling access to technical areas, detecting presence outside working hours and visual supervision without intrusive sensors.

· Rail and underground stations and tunnels: detecting people in restricted areas, crossing of safety lines and real-time alerts for dangerous situations.

In all these settings, Black Neural has shown it works: automating alerts, reducing incidents, generating traceability of events and improving prevention decisions.

Black Neural differs from other AI solutions applied to workplace safety in its unique ability to act on the physical environment, as well as going in quickly on existing cameras, being configured case by case and giving traceability aimed at continuous improvement in prevention.

-Black Neural can interact directly with the physical environment, something no other AI safety solution currently offers:

· Triggering emergency lights or beacons.

· Putting out messages over loudspeakers or the public address system.

· Switching industrial vehicles into safe mode (such as tortoise mode on forklifts).

· Stopping machinery if a person enters an active area (where the machine's technology allows it).

· Switching connected systems on or off, such as alarms or lighting in critical areas.

-The system is tuned to each customer's specific risks: walkways, PPE, restricted access, and so on.

-Black Neural works directly with the cameras you already have installed, without adding sensors or changing the infrastructure.

-The whole system is managed by Infinity Neural: zone setup, alert criteria, sensitivity and maintenance. You just look at the data and take preventive decisions.

-Every event is recorded with time, type, location and frequency. That lets you analyse risk patterns, justify preventive action and improve the safety plan with objective data.

To reduce workplace accidents effectively you need to detect the risks before they turn into incidents. And that is only possible if you have continuous visibility and objective data on what is really happening on the floor.

Black Neural helps you do that by analysing your camera images in real time to identify:

· Improper access to dangerous areas.

· Missing mandatory PPE (hard hat, high-visibility vest, gloves, and so on).

· Dangerous proximity between people and machinery.

· Unsafe conduct (running, distraction, bad posture).

· Staying in risk areas when you should not.

· Breaches of movement rules or safety routines.

When a risk situation is detected, the system raises automatic alerts and records the event, which lets you act at the time and also improve over the medium term with real data.

With Black Neural you move from reactive safety to continuous, automated prevention based on facts, without needing constant supervision.

Yes. Artificial intelligence now makes it possible to detect unsafe behaviour in real time before it turns into an accident.

Black Neural analyses your camera images and can automatically identify situations such as:

· Workers running in operating areas.

· People distracted or using a phone near machinery.

· Awkward postures or ergonomically dangerous movements.

· Long stays in critical or restricted areas.

· Dangerous manoeuvres, such as getting too close to a machine that is running.

When risky behaviour is detected, the system can raise an immediate alert and record the event, which lets you step in on time, analyse patterns of conduct and reinforce prevention before a real incident happens.

It is an effective way to move from reactive safety to prevention ahead of time, based on visible, measurable data.

The only way to be sure is to have continuous, objective visibility of what happens on the floor, rather than depending on occasional supervision or periodic inspections.

With Black Neural you can monitor in real time whether the main safety procedures are being followed:

· Correct use of mandatory PPE (hard hat, high-visibility vest, gloves, eye and ear protection…).

· Improper access to dangerous or restricted areas.

· Respect for the movement routes for people and vehicles.

· Avoidance of unsafe manoeuvres or conduct that goes against the procedures.

· Staying in high-risk areas when you should not.

Every time a breach is detected, the system generates an automatic alert and a record of the event with date, time and location. That lets you:

· Act at the time if the situation is critical.

· Show compliance, or the lack of it, with evidence.

· Spot patterns that repeat and affect safety.

This lets you move from perception to continuous verification, with data that backs decisions and strengthens the prevention plan.

There is a tool based on artificial intelligence and camera vision that strengthens risk prevention without constant human watching.

Black Neural analyses your camera images in real time to automatically detect:

· Breaches in PPE use.

· Improper access to risk areas.

· Dangerous proximity between people and machinery.

· Unsafe conduct (distraction, running, awkward postures…).

· Incorrect movement or dangerous manoeuvres.

When the system detects a risk situation, it can raise instant alerts, record the event and provide objective indicators for auditing and continuously improving the prevention plan.

These tools do not replace the safety staff, but they do let you:

· Cut the load of manual supervision.

· Act before an accident happens.

· Have objective evidence for audits and decisions.

Black Neural is the ideal complement to a safety strategy that is more proactive, more automated and based on data.

To know exactly how safe your plant is you need more than occasional observation or incident reports: you need continuous, objective, measurable data.

Black Neural gives you that data by automatically analysing what happens in real time through your security cameras. The system:

· Detects risk situations (no PPE, improper access, unsafe behaviour…).

· Automatically records every event, giving the type, time, location and frequency.

· Generates key safety indicators (KPIs) such as the number of alerts per shift, per area or per type of breach.

· Lets you follow how the risk changes, spot patterns and justify decisions with visual evidence.

That lets you:

· Assess how effective the preventive measures are.

· Prioritise corrective action according to real data.

· Justify your level of safety compliance to inspections or audits.

· Show clearly how safety on the floor is changing.

Black Neural turns your cameras into a continuous source of reliable information for prevention decisions.

Computer vision with artificial intelligence is now one of the most effective technologies for identifying dangerous areas in real time inside an industrial plant.

Black Neural uses the images from the existing cameras to automatically detect behaviour or conditions that make an area dangerous, such as:

· People present in restricted or high-risk areas.

· Staff building up in areas with moving machinery.

· PPE not being worn in critical locations.

· Manoeuvres that are not allowed near working equipment.

· Workers too close to industrial vehicles.

The system also records the frequency and location of each event, which lets you identify patterns and know which areas carry the most risk over time, without reviewing hours of recording.

With this technology you can:

· Tighten the controls in critical areas.

· Rework the layout on an informed basis.

· Apply specific preventive measures where they are needed most.

And all of it without extra sensors, without intrusive hardware and without interrupting your company's operation.

Stopping unauthorised access to dangerous or restricted areas is key to preventing serious accidents, and you cannot always rely on physical signs or manual supervision alone.

With a solution like Black Neural you can automatically detect when a person crosses a predefined virtual line into an unauthorised area, and act immediately:

· The system analyses your camera images in real time.

· If someone enters a restricted area, it generates an automatic alert.

· It can be set up to send that alert to the control room, to mobile devices, or even to trigger loudspeakers or warning lights.

· It can also interact with machines or entrances where the environment allows it (for example, stopping a lathe if someone comes within its working radius).

Every improper access is also recorded automatically and anonymously, which lets you:

· Know when and where these events happen.

· Spot patterns by shift, area or type of worker.

· Strengthen the signage or the access control with objective data.

With that, you can turn critical areas into intelligent areas, where the environment itself detects and responds to risk situations.

The most effective way to audit safety without stopping the activity is a tool that can monitor and record what happens in real time, with no direct intervention and no operational pauses.

Black Neural makes that possible with computer vision applied to your existing cameras. With no new sensors and no changes to the environment, it lets you:

· Automatically detect and record safety breaches (PPE, improper access, dangerous proximity…).

· Mark in the system when and where those events happen.

· Get reports filtered by type of risk, frequency, shift or area.

· See how behaviour changes and what impact the preventive measures have.

All of this happens without interfering with production and without demanding constant supervision, so you can have a continuous audit, based on facts and available for inspections or internal reviews at any time.

The system also does not record personal images; it generates only anonymous data, to protect privacy and comply with the regulations.

To act quickly on a risk situation, what matters is detecting the problem at the moment it is happening and having a system that raises automatic alerts without depending on constant supervision.

Black Neural makes that possible through its real-time analysis of the cameras already installed on the floor. Faced with any risk situation — missing PPE, an intrusion into a dangerous area or unsafe conduct — the system can:

· Raise instant alerts to the control room or to the staff responsible.

· Trigger lights, alarms or the public address system to warn the worker directly.

· Interact with machines or entrances where the environment allows it, for example: switching an industrial vehicle into safe mode. Stopping a lathe if someone comes close without protection. Turning on emergency lighting in critical areas.

These actions happen in seconds, allowing an automatic or semi-automatic response, without waiting for somebody to spot the problem by eye.

All the events are also recorded for later analysis, which lets you strengthen prevention and adjust the procedures if need be.

Reducing the financial impact of workplace accidents means preventing them before they happen and detecting the risks continuously and automatically.

The costs tied to an accident — sick leave, penalties, lost productivity, reputation, audits or compensation — are usually far higher than those of a good prevention strategy.

With a solution like Black Neural you can:

· Identify in real time the situations that can lead to accidents (improper access, missing PPE, unsafe behaviour…).

· Act before the risk turns into something real, thanks to automatic alerts.

· Analyse the events detected and improve the safety procedures on the basis of real data.

· Justify regulatory compliance and keep penalties to a minimum.

· Cut repeat occurrences by acting on repeated risk patterns.

By automating the detection and recording of risks, you cut the costs that come from human error and improve the efficiency of the prevention plan, achieving a real reduction in the financial impact in the short, medium and long term.

Yes. If you need to control several work areas at once — aisles, loading areas, restricted entrances or points where people and machinery cross — a solution based on computer vision with artificial intelligence can help you do it simultaneously, automatically and without adding to the staff's workload.

Black Neural analyses in real time the images from every connected camera, and lets you:

· Supervise different areas at the same time, each with its own safety rules.

· Detect and record specific risk events in each area: no PPE, improper access, dangerous proximity, staying too long, and so on.

· Generate separate alerts per area, without losing context or accuracy.

· Centralise all the information in a control panel, from which you can see what has happened in each space.

That gives you distributed, constant monitoring, without a worker having to watch each area by eye, and with the advantage of automatic records for later analysis.

If you want to stop depending on manual watching or occasional inspections, the best option is a system that automatically detects safety breaches in real time.

Black Neural is a solution based on computer vision that analyses the images from your existing cameras and automatically detects:

· Missing mandatory PPE (such as a hard hat, high-visibility vest or gloves).

· Unauthorised access to restricted areas.

· Dangerous proximity between people and vehicles.

· Staying in critical areas when you should not.

· Unsafe conduct such as running or distraction near machinery.

· Incorrect movement or failure to follow routes.

It all happens automatically, with nobody reviewing the images and no extra sensors. On top of that:

· The system generates instant alerts when it detects a breach.

· It records the events with time, place and type of risk.

· It lets you audit, measure and improve the prevention plan with real data.

With Black Neural you can automate the monitoring of regulatory compliance and reduce exposure to risk without adding staff or interrupting the operation.

The most effective way to get automatic safety reports is to use a tool that records and classifies the risks detected in your plant in real time.

Black Neural turns your camera images into structured data and lets you generate automatic reports that include:

· The number of safety breaches (anonymous data classified by type, area, day, shift…).

· How the risks change over time.

· Trends and patterns of unsafe behaviour.

· A list of the alerts triggered, with date, time and location.

· Data export to Excel or viewing in the control panel.

These reports can be scheduled to be emailed automatically to the health and safety team or the safety manager as often as you need (daily, weekly, monthly…).

That way you can:

· Take decisions based on real data.

· Justify improvements or investment in prevention.

· Prepare internal or external audits with full traceability.

· Show continuous follow-up and control of the working environment.

All of it without gathering information by hand or reviewing hours of video.

To act quickly when it matters most, what you want is a system that watches continuously and raises immediate alerts for any breach, even at the most critical moments of the operation.

Black Neural makes that possible with its automatic real-time video analysis. The system lets you:

· Detect a breach at the very moment it happens (missing PPE, improper access, dangerous conduct, and so on).

· Send immediate alerts to the control room, the health and safety team or the staff responsible.

· Trigger automatic responses such as lights, public address or even interaction with machinery where the environment allows it.

· Set up critical areas and times so the system is more sensitive at those moments.

This is especially useful during:

· Shift changes.

· Complex or high-risk manoeuvres.

· Times of heavier workload.

· Areas where there is no continuous supervision on site.

In these situations, a tool like Black Neural makes the difference between stepping in on time and an avoidable accident.

To face a safety inspection with confidence, what matters is being able to show not only that you have procedures defined but that they are followed day to day and monitored continuously.

With Black Neural you can build that traceability through:

· Automatic records of every safety event: every time someone enters a restricted area, is not wearing mandatory PPE or does something risky, the system detects it and records it.

· Exportable reports with objective evidence (date, time, type of event, location…).

· A history of alerts and corrective actions: you can show what was detected, what was done and when.

· Improvement indicators: how the number of alerts changes, which risk areas are under control, the impact of the measures applied, and so on.

And because Black Neural analyses cameras that are already installed and does not record personal images, it complies with data protection rules, which is key in many audits.

This information lets you show an inspection that:

· There is active, continuous monitoring of the risks.

· Verifiable corrective measures are being applied.

There is a system that ensures the prevention plan is followed.

The key to preventing risks efficiently without overloading the staff is to automate the daily watching and centralise the key information so decisions are easier.

With Black Neural you can hand the continuous detection of breaches and risk situations to an intelligent system, which lets the people in charge of safety concentrate on what really matters:

· The system automatically detects situations such as incorrect PPE use, improper access, dangerous manoeuvres or staying in critical areas.

· It raises alerts only when a preset risk threshold is passed, avoiding false alarms and operator fatigue.

· Every event is recorded and classified automatically, with no need to review hours of video or write reports by hand.

· From the control panel, the team can easily see what happened, where and how often.

That way you can keep precise, continuous control without depending only on human supervision and without adding people. Prevention becomes an automated, orderly, actionable process rather than extra work.

To know whether your measures are working, you need objective data comparing the situation before and after each change. That is the only way to assess how effective they are and to justify future decisions.

Black Neural lets you do that precisely, because:

· It automatically records every risk event detected (no PPE, improper access, dangerous conduct…).

· It measures the frequency, location and type of risk over time.

· It shows the change in a visual control panel: by area, by shift or by behaviour.

· You can compare periods before and after applying a measure (after moving a line, improving the signage or training the staff, for example).

That lets you:

· See whether the number of alerts has dropped in the area you acted on.

· Detect whether the risks have moved to other areas.

· Assess whether the measure was enough or needs adjusting.

· Justify to management or to audits how effective your decisions were.

In short, with a solution like Black Neural you turn prevention into a process that can be measured, traced and improved continuously.

Reactive safety — based on investigating what has already happened — usually arrives too late. To get ahead of the risk, you need technology that continuously detects unsafe behaviour and dangerous situations before they turn into accidents.

That is where computer vision with artificial intelligence comes in, of the kind Black Neural uses.

This technology lets you:

· Analyse in real time what happens on the floor, with no human intervention.

· Detect repeated risk patterns (the same improper access every shift, for example).

· Raise automatic alerts the moment a dangerous situation arises.

· Generate reports with safety indicators (KPIs) to improve the prevention plan.

· Act on the environment where needed (lights, public address, interaction with machinery…).

All of that turns safety into a proactive, automated, data-based system that does not wait for something to fail but lets you step in before it happens.

On sites with a lot of staff turnover or subcontractors present, keeping safety levels up is hard: workers may not know the procedures well, may not wear the right PPE or may enter areas they should not simply because they do not know.

To avoid that, you need a system that watches continuously and automatically, without depending on every person being trained or supervised at all times.

Black Neural helps you solve this problem with:

· Real-time detection of safety breaches, whoever the worker is.

· Immediate alerts if someone comes in without a hard hat, enters an area they are not allowed into or does something unsafe.

· Control by area, not by person: what matters is that the rules of the place are followed, without having to identify the individual.

· Automatic records that let you know which areas have the most incidents and adjust the procedures or the training accordingly.

· The option to put out warnings over a loudspeaker or with visual signals, useful for outside staff or people who do not speak the local language.

That way you can keep supervision constant and consistent even when the staff changes often, and make sure everyone follows the rules from the first minute.

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.