What people really ask.

No. Lemon Neural goes far beyond simply counting people. It is a very complete computer vision solution, built on advanced artificial intelligence, that lets you analyse and classify a wide range of items and behaviours in your physical space, giving you detailed strategic information:

· Personal items: it detects objects such as luggage, bags or accessories that visitors are carrying. This can reveal patterns of activity or the customer profile in different areas.

· Personal mobility vehicles (PMVs): it identifies scooters, wheelchairs and other PMVs. This matters for managing flow, planning spaces and improving safety in particular areas of your premises.

· Estimated demographic characteristics: always anonymously and statistically, Lemon Neural can estimate attributes such as age group or gender. This helps you fit your offers, marketing campaigns and services to your real audience.

· Groups of people: it detects how groups form, their size and their movement patterns. This is key for managing occupancy, analysing queues, improving flow and improving safety.

· Detection of specific actions: it identifies behaviours such as running, jumping, sitting down, standing up or even falls, allowing you to respond early to unusual situations.

This analytical range in Lemon Neural gives you a much deeper layer of information than a simple count. It lets you take more strategic decisions on running your space efficiently, improving safety and improving the customer experience.

With Lemon Neural, you can get valuable information about your customers in a completely ethical way, fully complying with regulations such as the RGPD (General Data Protection Regulation) and without compromising anybody's privacy.

Lemon Neural uses advanced artificial intelligence and computer vision designed to analyse your audience's behaviour completely anonymously. This is achieved through privacy by design, built in from the start:

· No personally identifiable information is stored or processed: unlike facial recognition, which sets out to identify specific individuals, Lemon Neural does not use that technology and never keeps images of faces or data that would allow a person to be identified.

· Anonymisation at source and in real time: the cameras capture images, but Lemon Neural's technology analyses them instantly to extract data. Crucially, it applies techniques such as 'blurring' to faces and other identifiable data in real time, before any meaningful processing happens. What gets analysed is only movement patterns, counts and aggregated statistics.

· A focus on collective behaviour: instead of identifying people, Lemon Neural concentrates on analysing group behaviour patterns, footfall flows and estimated demographic metrics (always anonymously and statistically, such as age group or gender). This gives you a valuable overall picture of your audience, so you can take informed decisions to improve your business without breaching anybody's privacy.

That way, you get the insights you need to improve your business while guaranteeing the fullest privacy protection for your customers and complying with current legislation.

With Lemon Neural, identifying the most popular areas or 'hot spots' in your shop is automatic and visual. Our artificial intelligence solution uses computer vision to generate detailed heat maps of your space.

These heat maps are straightforward visual representations that show you:

· Areas of longest dwell: where customers spend most time, showing interest in particular products or displays.

· Busiest areas: where visitors walk most often, revealing the most common routes through your premises.

By analysing these heat maps, you gain a deep understanding of customer behaviour and can take informed decisions to:

· Optimise how products are laid out: place items strategically in the areas that get most attention.

· Improve signage: guide customers towards less visited areas.

· Assess the shop's design: adjust the layout to get the most interaction and sales.

In this way, Lemon Neural gives you a key tool for optimising your layout and improving your customers' shopping experience.

With Lemon Neural, you can get precise metrics on the interest your window displays generate and on how effective your outdoor signage is. Our artificial intelligence and computer vision are designed to detect and analyse people's attention in front of your displays or screens.

The Lemon Neural system gives you objective, valuable metrics by measuring:

· The number of passers-by who stop: how many people walking past your business stop to look at your window or your signage.

· Viewing time: the average time each individual or group spends looking at your display.

· Attention/interaction rate: the percentage of passers-by who engage visually with your content.

This tells you how appealing your merchandising or outdoor advertising really is. You will be able to optimise how your products are laid out, the design of your windows and the message on your signage to get the most impact and turn more passers-by into visitors.

Yes. With Lemon Neural, you can work out the return on investment (ROI) of your advertising displays and in-store marketing campaigns more precisely.

Our artificial intelligence gives you objective data on customers' attention to and engagement with your displays:

· Attention data: Lemon Neural measures how many people look at your displays, how long they stop for and how much they engage visually.

· Strategic combination: by bringing the attention data Lemon Neural collects together with your own sales and conversion data, you can establish a direct correlation between how visible your displays are and how they perform commercially.

This gives you a clear view of the real impact of what you spend on in-store advertising. With that information you will be able to optimise your marketing budget, adjust where your displays go or what they say, and get the most out of every campaign.

Working out directly whether a customer has made a purchase from vision alone can be complicated, since the final transaction is closed at the till. Even so, Lemon Neural can give you very valuable visual indicators that, combined with your sales data, let you infer whether a purchase has been made or even how likely it is:

· Detecting purchased items on the way out: Lemon Neural's artificial intelligence can detect and classify objects such as shopping bags or parcels in customers' hands or in their trolleys as they leave your premises. If a customer leaves with one of your bags, that is a very solid, direct indicator that they have bought something.

· Correlation with sales data: the most effective way to get a full picture of your conversion rate is to compare the behaviour information Lemon Neural gives you with your real sales data. Our computer vision analyses metrics such as: dwell time in certain high-value areas. Routes through the shop. Interaction with particular products or displays.

For example, if customers who spend more than 'X' minutes in a high-value section, or who visit the fitting rooms and then the till, have a higher purchase rate, Lemon Neural helps you identify and quantify those buying patterns.

By combining the detection of physical indicators (such as shopping bags) with detailed analysis of in-store behaviour and your own sales data, you will get a very clear picture of which actions and patterns in the physical space turn into purchases, so you can improve your business and your conversion.

Yes, estimating demographic characteristics such as gender or age with Lemon Neural is designed to be completely anonymous and to respect privacy from the outset (privacy by design).

Our artificial intelligence and computer vision guarantee privacy through the following mechanisms:

· No personally identifiable information is stored: unlike technologies such as facial recognition (which sets out to identify individuals), Lemon Neural does not keep images of faces or link demographic data to specific people. The system processes the information in real time and extracts only aggregated statistics.

· Group and statistical analysis: the AI analyses common visual patterns and characteristics within groups of people in order to make an estimate. For example, it detects estimated age ranges or genders, but always collectively and without identifying anybody in particular. It focuses on demographic trends across the audience as a whole.

· Automatic anonymisation: the estimate is made on data that has already been anonymised (for example, by blurring or pixelating faces in real time). This makes sure individual privacy is never compromised at any step of the analysis.

The point of this feature is not to know who each person is, but to understand the demographic characteristics of your target audience ethically. That lets you adapt your offers, the design of your space or your marketing strategies to your real audience, always guaranteeing complete anonymity and strict compliance with privacy regulations such as the RGPD.

Knowing the demographic profile of your visitors — approximate age or gender — matters for taking marketing decisions, adapting what you offer and improving the customer experience. But doing it through surveys or guesswork is usually slow, expensive and unreliable.

There are now solutions based on artificial intelligence that estimate these attributes in real time, anonymously, without interrupting customers or asking them for personal details.

Lemon Neural analyses the images from your cameras and detects attributes such as age range and apparent gender of the people who visit your space, without identifying anybody. That data lets you understand your audience better, personalise campaigns or even adapt what is shown on screens according to the demographic profile present.

Surveys can be useful, but they do not always reflect how customers really behave: response rates are low, they can be biased, and they do not capture what is happening in real time. To understand your visitors better, you need to observe how they behave inside your physical space without interrupting them.

It is now possible to analyse behaviour patterns — routes, dwell times, interaction with products, areas visited — without asking for any personal details. Those insights let you understand their interests, needs and frustrations better.

Lemon Neural turns your cameras into a source of anonymous data that helps you understand your customers through what they actually do: how they move, where they stop, how long they wait and what they interact with. That way you can improve the experience without relying on surveys, and take decisions based on real behaviour rather than guesswork.

Spending on advertising without knowing whether you are reaching the right audience can waste time and money. To know whether your campaigns are attracting the right customer profile, you need data that lets you compare your target audience with the people who actually visit your business.

Traditionally this was done with surveys or sales analysis, but today you can get this information automatically and in real time, without interrupting visitors.

Lemon Neural detects demographic attributes such as age and gender, and lets you analyse whether the visitor profile changes before, during or after a campaign. That way you can tell whether your advertising is working with the audience you care about and adjust what you do to get the most impact.

The way people visit your business — alone, as a couple, as a family or in a group — affects how they behave, how long they stay and how they use the space. Knowing that helps you plan staffing, adapt promotions or lay out the furniture to improve the experience.

Traditionally, this kind of information could only be gathered by watching manually, but today it can be analysed automatically with artificial intelligence.

Lemon Neural detects whether visitors arrive in a group or on their own, identifying the general make-up of your audience without collecting personal data. That lets you adjust your operational or commercial strategy to the kind of customer who comes most often.

For a physical space to work well, good products are not enough: it has to line up with the behaviour and expectations of the people who visit it. But to adapt your shop effectively, you first need to understand how customers move, which areas they use, how long they spend in each one and how they interact with products.

This kind of data lets you take practical decisions: redesign the layout, strengthen key areas, improve signage or adjust staffing to the real flow.

Lemon Neural analyses your customers' behaviour in the space in real time, detecting patterns of movement, interaction and dwell. That way you can redesign your shop so that it fits their needs better, improves the experience and increases conversion.

In a context where privacy is a priority and people are increasingly reluctant to share their data, understanding your customers without asking them for personal information has become a real challenge.

The key is to observe how they actually behave inside the physical space: how they move, how long they stay, whether they interact with products, where they stop and whether they come alone or in a group. All of that can give you very valuable information for taking decisions without collecting sensitive data.

Lemon Neural analyses visitor behaviour in real time from the images from your cameras, generating completely anonymous data. It does not identify people or collect personal information, but it gives you more than 120 KPIs on movement patterns, waiting times, interaction and general profiles. That way you can understand your customers better and improve their experience without compromising their privacy.

Knowing which customer profile visits your physical space most often matters for aiming your campaigns better, adjusting what you offer and improving the experience of the people who actually choose you.

Getting that information no longer takes surveys or forms. Today you can detect, anonymously, demographic and behavioural patterns: whether you get more young or older people, men or women, groups or individuals, people with trolleys, suitcases or particular needs.

Lemon Neural analyses the images from your cameras to generate data on the general profile of your visitors. You can identify which kind of customer predominates by hour, by day or by season, and adapt your commercial strategy to that reality. All without collecting personal data and complying with privacy regulations.

Knowing which time slots each kind of audience — young people, adults, older people — concentrates in lets you plan staffing better, run specific promotions or adapt the atmosphere to the predominant profile.

This kind of information, which before could only be guessed at or estimated, can now be gathered automatically and anonymously through artificial intelligence applied to CCTV cameras.

Lemon Neural detects the general demographic profile of visitors (estimated age and gender) and lets you analyse how it varies across the day. That way you can tell at what times of day each kind of customer comes and adapt your space, your messages or your resources to offer a more relevant experience.

Knowing the approximate age of your most frequent customers is useful not only for designing campaigns, but for broader decisions: from the kind of products or services you offer to the tone of your communication, the design of the space or the choice of advertising channels.

Guesswork and till receipt analysis are not enough. You need to know, objectively and continuously, which age range predominates in your physical business.

Lemon Neural anonymously estimates the age range of the people who visit your space, detecting demographic patterns in real time. You can tell which ages predominate by time of day, day of the week or location, and adapt your commercial and brand strategy to connect better with the real audience that visits you most.

Knowing whether the users of a space — a station, an airport, a hotel or a tourist centre — are carrying luggage can help you improve logistics, strengthen security or adapt services such as lifts, signage or waiting areas.

Traditionally this kind of observation was done by hand or with specific sensors, but today it can be detected automatically thanks to computer vision.

Lemon Neural can visually identify the presence of personal items such as suitcases, rucksacks, pushchairs or personal mobility vehicles. That lets you trigger automatic services, adjust the signage or simply analyse the behaviour and real needs of users with luggage, all anonymously and without interfering with their experience.

Understanding your visitors' accessibility needs matters for offering an inclusive experience and improving mobility in public or commercial spaces. It lets you take more responsible and efficient decisions about signage, how furniture is laid out, support staff or adapted routes.

It is now possible to detect automatically whether people come in with wheelchairs or other mobility aids, without having to ask or collect personal information.

Lemon Neural can visually identify the presence of wheelchairs, walking frames or personal mobility vehicles. This information is gathered anonymously and in real time, so you can see how often users with particular needs come and where they go, and adapt the space early, safely and efficiently.

Having ramps, lifts or wide areas is essential, but real accessibility is not measured by design alone; it is measured by how the space is used in practice. Sometimes premises meet the regulations and still have real barriers: narrow doors, blocked corridors or badly laid out furniture.

To know whether your space is genuinely accessible, you need to watch how people with reduced mobility use it: can they move without obstacles? Do they use the intended routes? Are there areas they systematically avoid?

Lemon Neural anonymously detects the presence of people with wheelchairs or other mobility aids, and analyses their routes inside the premises. With that information you can identify barriers that are not obvious, check that your accessible routes work and adapt the space so that it is genuinely inclusive and usable.

Yes, and doing so matters for making your campaigns more effective. The more you know about who visits your business (age, gender, whether they come alone or in a group…), the easier it is to design messages, promotions or products that really connect with your audience.

Most physical businesses have no access to this information without resorting to surveys or loyalty schemes. But thanks to video analysis solutions with artificial intelligence such as Lemon Neural, it is now possible to detect and segment the demographic profile of your visitors automatically and anonymously.

That lets you run more precisely targeted campaigns, adapt your creative work to the real audience that visits you and assess which profiles respond best to each action, all in real time and without collecting personal data.

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.