What people really ask.

Yes. Lemon Neural counts people very accurately and records entries and exits at your premises in real time.

Using artificial intelligence on your own security cameras, the system detects every individual who crosses a virtual line. That gives you exact, instantly updated figures on footfall and on how full your premises really are at any moment, so you can make informed decisions about occupancy management and how you use the space.

No. Lemon Neural counts people fully automatically and on its own. Once it is set up, the system monitors and records footfall by itself, with no manual intervention and no extra staff assigned to the task.

That brings you two things: operating costs drop, because you no longer need to hire or assign people to count, and your team can concentrate on serving customers and on the other work that actually drives your business. Unlike other options that call for more people or constant supervision, with Lemon Neural footfall management is efficient, accurate and entirely automatic.

Yes. Lemon Neural can be set up to tell staff apart from customers when it counts people. That keeps your footfall figures as accurate as possible, so your own team's movements don't distort the numbers.

The Lemon Neural computer vision system can be configured to recognise:

· Specific badges or uniforms: if your staff wear particular clothing, Lemon Neural can learn to recognise it and leave those people out of the customer count.

· Movement restricted to certain areas: if staff work mainly in specific areas (behind the counter, in storerooms), the AI can be set to ignore movement inside those areas for the general customer count.

That way you get footfall figures for your customers alone, which makes your decisions about the shop far more precise.

Lemon Neural gives you one accurate picture of footfall even in premises with several entrances and exits. It works by connecting and synchronising the information from every camera placed at those points, so you see the whole flow of visitors.

Here is how it produces a global, detailed figure:

· Cameras placed where they matter: one security camera goes at each entry and exit point you need to monitor.

· Analysis point by point: using Lemon Neural's artificial intelligence, each camera analyses the flow of people at its own entrance or exit independently and in real time (entries and exits counted per access point).

· Data brought together: all the counting data collected by the different cameras is centralised automatically on the Lemon Neural platform.

· Consolidation and global figure: the system processes and adds up the data from every entrance and exit to give a total, accurate net footfall figure (entries minus exits) in real time for the whole site. It can also break footfall down by individual access point.

This gives you a complete view of visitor flow across your whole space, however complicated your access points are. It makes for informed decisions on occupancy management, staffing and security, across the site and efficiently.

Knowing how many people come into your shop each day is key to decisions on staffing, opening hours, promotions or how you lay out the space. Doing it by hand, or with imprecise methods, leads to errors and bad decisions.

There are now automated options that count people very accurately from the images your own security cameras already produce, with no extra sensors to install.

Lemon Neural uses artificial intelligence to count entries and exits automatically, anonymously and in real time. The system is also certified by the Centro Español de Metrología (the Spanish metrology institute), which guarantees certified accuracy. You can look at the daily total, or by hour, by day of the week or over custom time bands, and compare footfall between different dates or sites.

Monitoring occupancy in real time matters for meeting regulations, avoiding crowding and giving customers a decent experience. Doing it by hand, or with imprecise systems, causes errors, unnecessary queues and even fines.

It is now possible to monitor how many people are inside a space at any moment using artificial intelligence applied to CCTV cameras. You can see current occupancy at all times and get an alert if a set threshold is reached.

Lemon Neural lets you monitor occupancy automatically, anonymously and in real time, with no extra sensors. The system counts people as they enter and leave the site, works out live occupancy and can trigger visual or audible alerts when the permitted limit is passed. It is also certified by the Centro Español de Metrología, which makes the figures reliable.

Going over the legal occupancy limit can mean fines, safety problems and a poor experience for your customers. Avoiding it takes more than knowing how many people come in: you need a system that alerts you automatically before you reach the limit.

The best way to do that is with a system that monitors occupancy in real time, works out the remaining capacity as it changes and gives clear alerts as you approach or pass the threshold you set.

Lemon Neural lets you set your own occupancy limits and warns you automatically with visual or audible signals, or through screens and other devices. That way you can react before things become critical. The system is also certified by the Centro Español de Metrología, which makes the count legally reliable.

Knowing which times of day or days of the week bring the most visitors is key to organising staff better, avoiding queues, planning restocking or running promotions at the right moment.

To get that information you need a tool that records footfall over time and shows you occupancy patterns clearly and automatically.

Lemon Neural analyses in real time how many people enter and leave your space, and produces reports on the busiest hours and days. With that you can make decisions on resources, on serving customers better and on running things more efficiently — all from the cameras you already have.

Making a shop work takes more than knowing your total visitor numbers: you need to know when they come. Analysing footfall by day and hour lets you spot patterns, plan shifts, run promotions at the right moment and adjust how you operate to real demand.

That information has to be accurate, continuous and easy to consult. Counting people by hand, or now and then, will not give you the full picture.

Lemon Neural counts people automatically and continuously, and produces reports by hour, day, week or a period you choose. You can see at a glance when footfall is highest, compare dates and decide on the basis of hard figures taken from your own cameras.

If you have more than one shop, comparing footfall between sites is key to understanding how each one performs, spotting where to improve and making better-informed decisions.

To do it properly you need something that measures footfall the same way and just as accurately at every site, and that lets you view the figures side by side, without manual methods or systems that don't talk to each other.

Lemon Neural brings the data from all your branches together on one platform and applies the same certified counting criteria everywhere. You can compare visitors by site, day, time band or period, and see which sites perform best, which need adjusting and which patterns keep repeating.

Long queues cause frustration, walk-outs and lost sales. But they often go unnoticed because the team has no real-time view, and measuring how long each customer waits is not easy either.

Lemon Neural monitors queues automatically: how many people are in them, how long each one has been waiting and whether bottlenecks build up at key moments. It can even alert you when a waiting time you have set is passed, so you can act at once — open more tills, or put more staff on the floor.

So you avoid bad experiences, run things more efficiently and keep customers moving without friction.

Queues are one of the main friction points in the customer experience. They affect how the service is perceived, they cause people to walk out and they hit your margins directly. Cutting them does not always mean adding staff — it means acting on figures.

Lemon Neural monitors in real time how queues form, how long they are, how long people wait and how fast they move. With that you can:

· Spot when and where saturation keeps happening.

· Distribute staff according to real demand.

· Trigger automatic alerts when a waiting time threshold is passed.

· Rearrange the layout to avoid bottlenecks.

All of this lets you get ahead of the problem, decide quickly and give your customers a smoother experience, even at peak times.

Knowing whether the tills are running smoothly is key to avoiding bottlenecks, excessive waits and a poor shopping experience. But staff often have no immediate view of what is happening in real time.

Lemon Neural monitors the till areas continuously, detecting:

· How many people are queuing.

· How long they wait before paying.

· Whether any tills are empty or underused.

· When saturation happens, and in which time bands.

With those figures you can trigger automatic alerts when a till gets overloaded, move staff around and rearrange the payment area to improve the flow. So you stop losing sales to walk-outs and speed up the buying process.

Too many tills open when footfall is low wastes resources. Too few when the shop fills up means long waits, a poor experience and lost sales. The answer is to get ahead of it and decide on real figures, not on hunches.

Lemon Neural lets you:

· Measure in real time how many people are in the shop.

· Spot footfall patterns by day and hour.

· Estimate the flow of customers towards the till area.

· Predict the busiest moments so you can get ahead of them.

With that you can change the number of open tills as you go, use your staff better and keep the shopping experience quick, without unnecessary queues.

Yes. There are systems that monitor automatically how many people are queuing and how long they wait. That information is key to deciding quickly, opening new tills when you need to and improving the customer experience.

Lemon Neural analyses in real time:

· How many people are queuing at each till.

· The average waiting time.

· The times of day when saturation is worst.

It also raises automatic alerts when the thresholds you set are passed, so you can act before the customer loses patience or abandons the purchase. So you cut waiting times and run things more efficiently, with no extra sensors and no manual work.

Measuring by hand how long each customer spends at a counter is inefficient and error-prone. There are, though, systems based on artificial intelligence that work it out automatically, accurately and in real time.

Lemon Neural detects:

· When a person arrives at the counter.

· How long they stay in the service area.

· When the interaction ends.

That makes it possible to work out the average service time per shift, per day or per member of staff. With those figures you can spot bottlenecks, adjust staffing and improve the quality of your service without relying on surveys or manual measurement.

Sí, y hacerlo es clave para mejorar la efectividad de tus campañas. Cuanto más sepas sobre quién visita tu negocio (edad, género, si vienen solos o en grupo…), más fácil será diseñar mensajes, promociones o productos que realmente conecten con tu audiencia.

La mayoría de negocios físicos no tiene acceso a esta información sin recurrir a encuestas o programas de fidelización. Pero gracias a soluciones de análisis de video con inteligencia artificial como Lemon Neural , ahora es posible detectar y segmentar automáticamente el perfil demográfico de tus visitantes de forma anónima.

Esto te permite lanzar campañas dirigidas con mayor precisión, adaptar tus creatividades al público real que te visita y evaluar qué perfiles responden mejor a cada acción, todo en tiempo real y sin recopilar datos personales.

Medir manualmente cuánto tiempo pasa cada cliente en un mostrador es ineficiente y propenso a errores. Sin embargo, existen soluciones basadas en inteligencia artificial que permiten realizar este cálculo de forma automática, precisa y en tiempo real.

Lemon Neural detecta:

Cuándo una persona llega al mostrador.

Sí, existen soluciones que permiten monitorizar de forma automática cuántas personas están haciendo cola y cuánto tiempo esperan. Esta información es clave para tomar decisiones rápidas, abrir nuevas cajas cuando sea necesario y mejorar la experiencia del cliente.

Lemon Neural analiza en tiempo real:

El número de personas en cola por caja .

Tener demasiadas cajas abiertas en momentos de baja afluencia desperdicia recursos. Tener pocas cuando el local se llena provoca largas esperas, mala experiencia y pérdidas. La clave está en anticiparse y tomar decisiones basadas en datos reales, no en intuiciones.

Lemon Neural te permite:

Medir en tiempo real cuántas personas hay en tienda.

Saber si las cajas están funcionando con fluidez es clave para evitar cuellos de botella, tiempos de espera excesivos y una mala experiencia de compra. Pero muchas veces el personal no tiene visibilidad inmediata de lo que ocurre en tiempo real.

Lemon Neural monitoriza continuamente las zonas de pago, detectando:

El número de personas en cola .

Las colas son uno de los principales puntos de fricción en la experiencia de cliente. Afectan la percepción del servicio, provocan abandono y afectan directamente a la rentabilidad. Reducirlas no siempre significa añadir más personal, sino actuar con datos.

Lemon Neural monitoriza en tiempo real la formación de colas , su longitud, tiempos de espera y velocidad de avance. Con esta información puedes:

Detectar patrones de saturación en ciertos horarios o zonas.

Las colas largas generan frustración, abandonos y pérdidas de ventas. Pero muchas veces no se detectan a tiempo porque el equipo no tiene visibilidad en tiempo real, y tampoco es fácil medir cuánto espera cada cliente.

Lemon Neural te permite monitorizar automáticamente las colas : cuántas personas hay, cuánto tiempo lleva esperando cada una y si se forman cuellos de botella en momentos clave. Incluso puede alertarte cuando se supera un umbral de espera definido, para que tomes medidas inmediatas, como abrir más cajas o reforzar la atención.

Así, no solo evitas malas experiencias, sino que mejoras la eficiencia operativa y mantienes el flujo de clientes sin fricción.

Tener rampas, ascensores o zonas amplias es fundamental, pero la verdadera accesibilidad no se mide solo por el diseño, sino por cómo se usa el espacio en la práctica. A veces, un local cumple con la normativa pero sigue presentando barreras reales: puertas estrechas, pasillos obstruidos o mobiliario mal distribuido.

Para saber si tu espacio es realmente accesible, necesitas observar cómo interactúan con él las personas con movilidad reducida: ¿pueden moverse sin obstáculos? ¿utilizan las rutas previstas? ¿hay zonas que evitan sistemáticamente?

Lemon Neural detecta de forma anónima la presencia de personas con sillas de ruedas u otros elementos de apoyo, y analiza sus recorridos dentro del local. Con esta información puedes identificar barreras no evidentes, validar la eficacia de tus rutas accesibles y adaptar el espacio para que sea verdaderamente inclusivo y funcional.