What people really ask.

On sites where both people and industrial vehicles work, collisions are one of the main risks of a serious accident. Signage, training and separate routes help, but they are not always enough.

Black Neural lets you prevent this kind of incident proactively with computer vision and artificial intelligence. The system:

· Detects in real time the presence of both people and vehicles in shared areas.

· Lets you set up virtual zones at intersections or crossings, where the risk is higher.

· If a person and a vehicle come dangerously close, it raises an automatic alert.

· It can trigger immediate responses such as: warnings over the public address system or warning lights. Automatic reduction of the vehicle's speed ('tortoise' mode), where the technology allows it. Notification to the control room or to the safety manager.

· Everything is recorded, for analysis and for improving the layout or the movement procedures.

That way you can act before a collision happens, without adding physical sensors or supervising staff.

Crossings between pedestrians and machinery — forklifts, lift trucks or load-carrying vehicles — are critical points in any industrial plant or warehouse. Supervising them by hand, or with mirrors and signage, does not guarantee an immediate response to a real risk.

Black Neural lets you supervise dangerous crossings automatically with computer vision and artificial intelligence. The system:

· Detects in real time when people and machinery are in a predefined crossing area at the same time.

· Lets you mark out virtually the most difficult crossings on the camera image.

· Raises immediate alerts if it detects a risk situation (a blind crossing, inappropriate speed, missing PPE, and so on).

· It can trigger automatic measures, such as: warnings over the public address system. Warning lights at the crossing. Automatic speed limiting on a vehicle.

· Records the events for later analysis and for improving the route design.

That way you can turn a blind spot into an intelligent area, supervised 24/7 without human intervention.

People building up in narrow aisles or transit areas may look harmless, but they are in fact an operational and safety risk: – They block evacuation routes. – They raise the chance of falls or collisions. – They point to possible design faults in the movement flows.

Black Neural lets you detect this kind of situation in real time, with no physical sensors and no human intervention:

· It monitors critical walkways with cameras and sets maximum occupancy thresholds.

· It automatically detects whether people are building up in a given area for longer than allowed.

· It can generate real-time alerts to the control room or over the public address system to clear the area.

· It records events with time, duration and location, so they can be analysed later.

· It generates reports and heatmaps of build-up, for redesigning flows or widening problem areas.

That lets you act preventively and improve both the physical safety and the operational efficiency of the space.

In many plants and warehouses the pedestrian walkways are marked physically with lines painted on the floor, but that does not guarantee they are respected. Walking outside those areas can cause collisions with vehicles, blockages or breaches of health and safety regulations.

Black Neural lets you supervise automatically whether people stay inside the walkways set out:

· It uses the existing cameras to detect people moving, in real time.

· It lets you set up virtual zones that match the lines painted on the floor exactly.

· If a person moves outside that limit, the system detects it immediately.

· It can raise visual or audible alerts or send notifications to the control room.

· It records every deviation with date, time and location, which lets you analyse patterns of non-compliance.

· It helps reinforce compliance, redesign routes or adjust the signage in critical areas.

That way you can audit and improve pedestrian movement safety with objective data and without manual watching.

People are usually struck by lift trucks or forklifts in areas with reduced visibility, shared crossings or uncontrolled routes. Signage and training help, but they do not stop every lapse and they do not guarantee an immediate response to a risk situation.

Black Neural lets you detect in real time when people and vehicles are in critical areas at the same time and act before an accident happens:

· It marks out virtually the aisles, crossings and transit areas for vehicles and pedestrians.

· It automatically detects whether a person strays into a dangerous area while a vehicle is approaching.

· It raises immediate alerts over the public address system, with warning lights or to the control room.

· Where the vehicle allows it, it can switch on 'tortoise' mode to reduce the speed automatically.

· It records every risk situation so you can analyse patterns and improve routes or signage.

That way you cut the risk of people being struck, preventively, without physical sensors and without constant supervision.

In many industrial plants and warehouses, vehicles such as lift trucks, pallet trucks or forklifts should move only in areas marked out and kept separate from pedestrian traffic, but in practice that does not always happen.

Black Neural lets you check in real time that vehicles keep to those areas:

· It automatically detects and follows the movement of each vehicle in the monitored areas.

· Our team sets up, on the camera image, virtual zones that match the routes set aside for vehicles only.

· If a vehicle drives outside those zones, the system detects it and raises an immediate alert.

· It can put out warnings over the public address system, with warning lights or notifications to the control room.

· Every breach is recorded, so you can analyse patterns and reinforce the movement procedures.

That lets you make sure each kind of traffic — on foot or on wheels — stays in its own area, reducing the risk of collisions and improving overall safety in the plant.

In a plant or warehouse with mixed traffic (people and vehicles), some areas build up more risk than others even when they are properly signed: blind crossings, points where aisles get invaded, narrow or badly lit areas.

With Black Neural you can objectively detect which those trouble spots are, using computer vision and artificial intelligence:

· The system records every risk situation, such as improper crossings, walking through unauthorised areas or dangerous proximity.

· It analyses the events continuously and generates reports by location, frequency and intensity of risk.

· You can see the results as heatmaps, which clearly show the areas with the most incidents or near misses.

· This information lets the health and safety managers take decisions based on real data, such as: changing routes. Widening walkways. Installing new cameras or physical signage. Reinforcing training.

That turns your monitoring system into an active tool for continuous improvement in internal traffic safety.

Getting internal traffic to flow better without putting workers at risk is one of the big challenges in industrial settings. Changing routes without data can create new bottlenecks or raise the risk of accidents.

Black Neural lets you improve internal movement with informed decisions:

· It detects in real time the movement of people and vehicles in aisles, crossings and entrances.

· It records events of interference, build-up or improper crossing, letting you identify the friction points.

· It generates heatmaps and usage statistics for each area, showing whether an area is overused or underused.

· With this data you can redesign routes, adjust priorities or alternate routes by shift without compromising safety.

· The system can also raise real-time alerts for dangerous situations, making sure better flow does not mean more risk.

· All of it happens with no physical sensors and no operational interruptions.

The result: real improvements in traffic efficiency with a safer environment for everyone.

In areas where pedestrians and vehicles share the space, bottlenecks do not just slow the operation down, they also raise the risk of accidents. Detecting them and understanding their causes is essential for decisions that improve both efficiency and safety.

Black Neural lets you identify and analyse these critical points automatically:

· It watches the movement of people and vehicles in shared areas in real time.

· It records events such as build-ups, blockages or dangerous interactions.

· It generates congestion reports and indicators that show: how often build-up happens. The average length of the jam. The exact location of the bottleneck.

· It offers dynamic heatmaps that show the areas with the most interference.

· It lets you assess the impact of operational changes, such as altering routes, times or flows.

With this data you can adjust the layout of the workspace or redesign the movement areas to improve flow without putting workers at risk.

Lift trucks or forklifts straying into pedestrian areas is one of the most dangerous situations in industrial settings. A lapse, a badly executed turn or a poorly signed route can cause serious accidents if they are not caught in time.

Black Neural is a computer vision technology that detects this kind of situation in real time, with no physical sensors and no manual intervention:

· It uses the existing cameras to identify moving vehicles and their exact location.

· The Infinity Neural team sets up virtual zones for pedestrians only, lined up with the physical markings of the space.

· If a vehicle enters one of these zones, the system generates an immediate automatic alert.

· These alerts can be: notifications to the control room. Audible or visual warnings on the floor. Messages over the public address system. In some cases, automatic responses such as reducing the vehicle's speed or stopping the system where it is compatible.

· The event is recorded for later analysis, which lets you identify risk patterns and take corrective measures.

That way you can keep the pedestrian areas protected at all times, even in busy environments.

Sloping ramps, entrances with obstacles or areas with limited visibility (corners, loading bay exits, and so on) are frequent scenes of incidents. At these points it is hard to know in advance whether a person or a vehicle is crossing, and relying only on the workers' attention is not always enough.

Black Neural lets you monitor these critical areas with computer vision and generate preventive alerts:

· It detects in real time the presence of people or vehicles in areas with reduced visibility.

· It sets up virtual areas over the camera images to mark out particularly sensitive points.

· If there is a risk of collision, of straying in or of an unexpected crossing, the system raises immediate alerts (lights, public address, notifications).

· It can be integrated with machinery or with systems in the environment to reduce speed automatically, switch on traffic lights or hold entrances shut where that is technically possible.

· It records every incident or risk situation so you can analyse patterns and improve safety in those areas.

That way you cut the chance of accidents in places where visibility is limited and the risk usually goes unnoticed until it is too late.

Overhead cranes, mobile platforms and articulated arms create risk areas both because of how they move and because of the chance of a load falling. Controlling who goes into those areas is key to avoiding serious incidents.

Black Neural lets you supervise these high-risk spaces automatically and control movement precisely:

· It uses fixed cameras to watch the areas where cranes and mobile platforms operate.

· Virtual risk zones are set up, matched to the path of the equipment and to the areas where loads are lifted or carried.

· If a person enters an active zone, the system raises immediate alerts: warnings to the control room. Audible or visual signals. Public address, or automatic locking of the entrance where the environment allows it.

· It can also be integrated with the crane's control system to stop the movement if there is imminent risk, where the technology allows it.

· It records every incident so you can analyse patterns and strengthen safety in those critical environments.

That way you can make sure only authorised staff, and only in safe conditions, get into those areas, without depending on constant watching.

In places where people and vehicles move about, risk situations often happen that never get reported: improper crossings, dangerous proximity, lane invasions or emergency braking. Without a reliable record, you lose the chance to prevent future accidents.

Black Neural records automatically every event to do with internal traffic:

· It detects in real time incidents such as straying into restricted areas, driving through unauthorised areas or risky crossings.

· Every event is recorded automatically with date, time, location and type.

· From the BI you can get reports by area, shift or frequency, with a clear view of trends or repeat occurrences.

· This information lets you: carry out internal audits. Improve the prevention plans. Justify measures to inspections or safety committees.

And because it does not depend on human observation, the record is objective, constant and complete, even across several areas at once.

Having a clear, real-time view of how people and vehicles move inside a site is key to taking immediate decisions and preventing risks. Without that visibility, the people in charge of safety are working almost blind.

Black Neural offers an advanced visualisation tool based on computer vision and artificial intelligence:

· From the cameras already installed, the system detects people and vehicles in real time.

· It shows that information in a visual interface where you can follow the movement live.

· It lets you see at all times: which areas are occupied. Where there are crossings or interactions. Which routes the workers and the machines take.

· The dynamic heatmaps let you anticipate build-ups or identify risk points.

· It is available from the BI (Business Intelligence) panel, where you can also look at the history by time band, shift or area.

With this tool, the health and safety and operations managers can take informed decisions on the spot and redesign routes or routines according to what actually happens on the floor.

Movement in the wrong direction — by vehicles and by people — is a source of avoidable accidents. It often comes from lapses, poor signage or not knowing the routes that have been set, especially in areas with high staff turnover.

Black Neural detects this kind of breach automatically and in real time:

· With computer vision, it identifies the direction each pedestrian or vehicle is moving in within the monitored areas.

· Virtual lines with an allowed direction are set up, drawn on the image the cameras capture.

· If a person or machine crosses in the opposite direction, the system detects it instantly and generates an alert.

· The alerts can be: notifications to the control room. Warnings by lights or public address. Triggering a response where the infrastructure allows it (a safety brake, for example).

· Every event is recorded for later analysis, letting you identify the areas with the most incidents and apply corrective measures.

That way you can prevent accidents and reinforce compliance with the internal movement rules, without depending on constant visual watching.

The blind spots of lift trucks, forklifts and lorries are one of the main causes of people being struck and of collisions in industrial settings. Many vehicles have mirrors or sensors, but those depend on the driver and do not cover every risk situation.

Black Neural provides an external, automated solution for covering blind spots:

· It uses fixed cameras installed in the plant that monitor the areas where drivers have no direct view.

· It defines critical virtual zones around the vehicle, especially in manoeuvring, loading or narrow traffic areas.

· If a person enters a blind spot during a manoeuvre, the system raises a real-time alert.

· The alerts can be: light or sound signals. Warnings over the public address system. Notifications to the control system or to the driver where the infrastructure allows it.

· The events are also recorded so you can analyse patterns and improve the layout or the procedures.

This approach complements the vehicle's on-board systems and does not depend on the operator, covering angles that normally go uncontrolled.

Loading and unloading areas are usual sources of risk and bottlenecks: vehicles coming in and out, workers moving about, goods crossing… If they are not well managed, the chance of incidents and operational losses goes up.

Black Neural lets you analyse and improve these areas continuously and with real data:

· It uses cameras to watch the flow of people, vehicles and goods on the loading bays or loading areas.

· It detects dangerous interactions, build-ups, excessive waiting times or improper movement.

· It generates reports with: how often blockages or stoppages happen. Occupancy charts by time band. Breaches of routes or improper entries.

· It lets you identify whether the current design is causing conflicts and gives you objective data for redesigning routes, shifts or procedures.

· The real-time alerts help you react immediately to dangerous situations, without waiting for the analysis afterwards.

That way you can know for certain whether the loading areas are running safely and smoothly, and take decisions backed by data.

In many industrial or logistics settings there are areas where workers or vehicles have to stop before crossing: — entrances onto priority routes, — junctions with poor visibility, — warehouse exits, — controlled crossing points.

Failing to respect the waiting times at these points can lead to collisions or to people being struck.

Black Neural lets you monitor this behaviour automatically and precisely:

· It uses computer vision to detect whether a person or vehicle stops where they should and for how long.

· Virtual crossing control lines are set up at critical junctions or entrances.

· If someone crosses without stopping or does not respect the minimum waiting time, the system generates an immediate alert.

· The breaches are recorded for later analysis, with data by area, shift or operator.

· Periodic reports can also be generated for health and safety, detecting risk patterns and the areas with the most infringements.

That way you can make sure the internal crossing rules are respected without constant watching and without extra physical systems.

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.