Posts in category: Uncategorized

Minimize physical contact and maximize contactless intraction is the main objective of organizations.
This priority concerns many sectors and we are experiencing a deep change never seen before with linked implications at all levels.
The rising attention on risks about privacy and cybersecurity for instance are consequences of a massive transition from actions based on physical contact and presence to touchless and digitized actions, such as voice recognition and face recognition through computer vision.

A recent Nielsen research highlights new socio-economic and behavioral patterns that are helping to redefine strategies and retail concept: basket reset, homebody reset, rationale reset and affordability reset. These parameters tell us that people are changing priorities and this evidence will necessarily have to lead retailers to rethink strategies and reshape the purchasing experience.

In the last few years we have seen that social change and consumption behaviour are often characterised by an extraordinary speed in spreading and are able to turn into global phenomena.
From a behavioural point of view, some trends, supported by powerful marketing strategies, have became viral and this feature is very timely and not casual.

The spread of a trend, whether it is fashion, entertainment or lifestyle, leads to intensify the activity of people in some specific areas, physical or virtual, concurrently increases the demand for products and services  connected  to that trend and also the spreading factor of the trend itself.
As Malcolm Gladwell explains in the book The tipping point, once reached the tipping point, you reach that threshold beyond which you can get an avalanche effect.

Artificial intelligence is a system capable of instructing other systems (software or hardware). Software or machine constitute entities “which are self-instructed on the basis of learned logic”. From this observation we can infer the evidence that in this scenario man is no longer central but a true autonomy of technological systems is appearing. Countless reflections can be made on the principles that guide the design of machines and systems based on machine learning and artificial intelligence. But a digression can also be opened on the ethics of machines. 

The necessity to overcome biometric data collection techniques is increasingly pressing for legal, social and ethical reasons.
Biometric data are in fact personal data that can lead to the identification or discriminatory use (even in automated way) of such data. The most modern biometric data collection systems can define sex, biological age, physical characteristics, mood and ethnicity.
These parameters can therefore determine forms of identity recognition that contributes in feeding the system that educates artificial intelligence. The assignment of biometric data to specific categories therefore highlights several critical issues: ethics, data security and discriminatory use.

The anonymization of biometric data is a process that is not always conclusive as it is based on forms of data processing and on a temporary storage of this data.
Biometrics can be exceeded in different ways.
Munogu has developed BIOZERO, a biometric zero impact solution based on a range of technologies that includes color mapping and radar imaging.

Since some time on we have been hearing about bio-metric recognition and this technology has already been adopted in some airports to speed up transit procedures for passengers. In fact Bio-metric data are personal data because allow identity verification.

Bio-metric devices are actually very popular and are widespread in smartphones to enable the Face Unlock
Bio-metric characteristics can be biological but also behavioral and can lead to identification by performing the comparison one by one.
For example, fingerprints are bio-metric trait and allow identification in the comparison one by one and allow exclusion by making the comparison one by many.
Another example of bio-metric trait is the voice. The voice is the result of physical and anatomical characteristics that determine its qualities.
The most widely treated bio-metric trait is surely the face and requires necessarily the acquisition of an image. There are a varied selection of bio-metric sensors and different methods of data acquisition, however the purpose is common and it is to the elaboration of a mathematical representation (bio-metric model).

Facial expressions have been deeply studied and are often the primary source of information related to a person who is being observed. But what changes when a computer observes humans?
The human eye is a perfect machine for analyzing images from a technical, semiotic and emotional point of view, as it is the perfect tool for analyzing body language.
Body language represents first-level information captured by the sense of sight and then translated into rational judgment or emotion by the brain. Let’s try to replace eyes and brain with the corresponding digital technology and we will have a taste of the near future at its bright and dark side.
When we look at an image we can assign it to a category, when we look at a gesture or an expression we can assign a meaning. Sometimes the meaning of a gesture represents a cultural sediment but it can be traced back to a language that is practiced daily and that has now been codified as universal also thanks to digital and media.
The technical analysis of images has long been the domain of machines, but gestures and body movements have become a central point of research for computer vision.
Recognizing the body language through a computer, attributing a meaning to a specific movement means to be able to put in relation and communication the man with the computer, an instance able to process the information, aggregate them, analyze them in real time and manage them to elaborate feedback, specific actions, responses and information.

Queue management now is a crucial issue, it consists in controlling and organizing the traffic flow. Adopting a queue management system also means improving an experience that is generally considered frustrating for the customer and that can have a significant impact on the efficiency of services, the perceived quality and finally affect the sales performance of a store.
A proper queue management contributes to customer satisfaction, improves the efficiency of operations, increases in-store traffic because a lean and efficient queue does not discourage customers.

Probably the coronavirus will be in the chronicles for a long time but the total closure of shops, schools and offices, limitations on gatherings will not be long protracted without having alternatives. Surely the closing periods will be shorter and the isolation will be targeted.
In recent months there have been many opportunities to experiment with different and disparate solutions to manage the containment of contagion spread , from a total closure approach to the management of a restricted inflow.
What is certain is that restrictions on people’s movements were crucial to curb the emergency.

The current ambition shared by those who deal with innovation and new technologies is certainly that of being able to shape the environment in such a way as to make it intelligent, data-rich, interactive, fluid and user-friendly.
The environment we are talking about here is a field in which virtual and real are not separated but totally integrated.