Blink Identity: Walk straight into an event 

Recently, we’ve seen QR codes become as prominent as ever with Covid-19 protocols in mind – particularly for checking in to venues. 

Blink Identity offers the latest solution for quick and easy access to events, as face recognition software can be used as a ticket – rather than having a physical or digital copy on hand. 

Backed by decades of experience, they have been developing identity systems for enterprises in high-risk environments. The biometric matching system has utilised military-grade technology to accurately identify people walking at a typical pace, adaptable to any lighting conditions. 

The basis of Blink Identity is simple – when a sports club or venue is partnered up with the company and has the camera software in place, visitors are required to enrol in the service by taking a ‘selfie’ photograph on their phone. 

Face recognition like a barcode

By taking a photograph in a matter of seconds, this leads to enormous time saved when the visitor has arrived to enter a stadium or venue, where this eliminates the risk of waiting in lines. Blink Identity collects an image of a person’s face to then be converted into a special unique code known as a mathematical template for identification purposes (like a barcode). Basic contact details involving full name and email address are used for a personalised greeting and if Blink Identity needs to contact the person respectively, with this information to ensure that a spectator can be identified at a venue and if any problems arise with the account. 

With a Blink Identity lane in operation, all the visitor needs to do is walk through and the sensor takes another photograph – to be converted into a template – which is then immediately deleted and is not saved on the sensor. This process is simply to compare the initial template (selfie) with the latest version from when the person enters a venue. 

The versatility and reliability of this technology has not only been tested with lighting conditions, but also to adjust for slight changes to a person’s appearance from one photo to the next. For instance, anyone wearing hats, glasses, colored contacts, head scarves or has a beard does not affect Blink Identity’s system. The vast majority of sunglasses, face paint schemes and sequins have also been proven to not change how the sensors operate. The system, which can identify identical twins better than the human eye, caters for any changes to a person’s appearance. In addition, customers wearing face masks are matched using periocular recognition. This is a special type of face matching that focuses on the area of the face around the eye. 

The Blink Identity Sensor

Likened to walking in like a red carpet, Blink Identity is virtually a replica with that same VIP-type feel for successful entry. Once inside the venue, the use of Blink Identity’s sensors can expand towards purchasing food and merchandise, where customer experience is advanced. For instance, if an ID check is required from a customer, a simple face recognition check can be completed, rather than sifting through pockets trying to find a driver’s license or similar.

The ease of this technology is not only positive for visitors, but for companies as well who hold events. Blink Identity integrates with standard frameworks and workflows to handle everything from implementation and enrollment to privacy compliance. By switching to Blink Identity’s system, it connects to existing ticketing, Customer Relationship Management (CRM), point of sale (POS), time & attendance and security systems. This will allow organisations to get a better insight of fan data, promoting increased revenues and analytics. 

As countries start to welcome back more fans on the other side of Covid-19 outbreaks, Blink Identity can help manage the reintroduction of these fans through seamless entry. It’s an extra piece of technology that can certainly speed up the process at popular crowded events.  

For everything you need to know about Blink Identity, you can find it here. 

Avatar
Liam Watson is the Co-Founder & Publisher of Soccerscene. He reports widely on football policy, industry matters and technology.

Eyeball: Changing the foundation of scouting

The very foundation of scouting has changed forever. 

Eyeball is an Artificial intelligence (AI) powered product designed to assist footballing entities in scouting the potential football athletes from various countries around the world.

With over 100,000 players within the technologies database all comprised of youth players, football clubs across the globe are raising their eyebrows as to what this brilliant technology can provide.

The system acts as a football scout. Remotely and in the convenience of a smartphone device, the search and evaluation of performance capacity of the players within its database can be compared to football’s finest players. The service prides itself on optimising academy recruitment, without a club worrying about the financial difficulties involved in travel or acquisition of scouting personnel.

The contemporary scouting platform has an established and researched insight database, all gathered from the youth academies of Europe’s leading football giants.

European markets including the footballing nations of Spain, England, Germany, Holland, Belgium, and Croatia are also joined by the African markets of Ghana, Mali, Ivory Coast, Nigeria, Guinea, Senegal and Sierra Leone. These are the markets in which Eyeball operate within, acting as the ever growing customer base of their elite scouting technology.

Youth scouting is strenuous. Professional clubs who are struggling within their respective leagues due to being less financially opportunistic, are already on the back-foot. With its locality and lack of scouting network, the fundamental exercise in terms of growing a club and its talent pool, becomes surplus. The purpose of Eyeball and its technology is to make the scouting process simple yet effective, as it has essentially modernised the process, bridging the gap between potential players and professional clubs.

Determined to enhance its science, searchable player data is a primary focus of Eyeball in which they seek to further improve. This is through the analysation of video data from talented players throughout the globe, combatted with the collection of a prospects data.



The data collected is imperative. Driven by 13 statistical parameters, it includes shots on target, successful dribbles, incisive passes and passes in the final third – just to name a few.

The parameters collected can be searched by the club officials using the app, perhaps on the hunt for a player in whom possess specific qualities dependent on what the club requires on the pitch.

Summaries of key stats are compiled by AI based upon data collected from partner clubs that have detailed profiles upon talent within the database. The AI technology allows partnered clubs to put these prospects into AI generated match-simulations, allowing for the assessment of a players performance all through the use of Eyeball’s data breakdown technology.

The player app feature of Eyeball can be a considered a polarizing tool in which football participants can utilise in order to garner a tangible understanding of their ability. The player app allows players to access performance data from within the platform while also showcasing to the scouts using the technology, the ability in which the player possesses.

Games can be watched back by players, while Eyeball analyses the games and a breakdown of the performance. This allows players and coaches to make the necessary changes to a players training routine, showcasing the areas in which are in need of improvement.

It basically allows a player to sell themselves to scouts. Professional clubs are examining the profiles and the players are able to customize their profile, showcasing their greatest qualities in-match highlights. Matches can be watched back and analysed, as they are stored within Eyeball’s database.

Individuals can hunt for specific match moments, with a play-by-play game events feature dissecting every move a player makes throughout matches documented. Eyeball’s analysts watch each match closely, providing a breakdown of performance statistics. Players distribution performance, as well as their offensive and defensive performances are outlined.

Eyeball possesses the ambition of wanting to become a pioneer in bridging the gap between talented youth prodigies and becoming the next generational top tier of talent across the globe. All through the inclusive access of insight and data performance surveyed and interpreted through its system.

Over 100 professional clubs are using the Eyeball technology, with the company making major waves in regards to the foundation in which scouting is exercised. Perhaps it would be in the interest of Australia professional clubs to also utilise this ground-breaking technology for their benefit.  

TacticAI: Revolutionising the way coaches analyse corner kicks

TacticAI is an artificial intelligence (AI) system that can provide experts with tactical insights, particularly on corner kicks, through predictive and generative AI.

Importantly, it is a full AI system that could give coaches instant, extensive, and accurate tactical insights – that are also practical on the field.

As part of Google’s partnership with Liverpool FC, their DeepMind team have worked on this innovate project for a couple of years in an attempt to revolutionise the way elite football clubs are analysing corner kicks in the sport.

TacticAI demonstrates the potential of assistive AI techniques to revolutionize sports for players, coaches, and fans. Sports like football are also a dynamic domain for developing AI, as they feature real-world, multi-agent interactions, with multimodal data.

TacticAI is built to address three core questions:

  1. For a given corner kick tactical setup, what will happen? e.g., who is most likely to receive the ball, and will there be a shot attempt?
  2. Once a setup has been played, can we understand what happened? e.g., have similar tactics worked well in the past?
  3. How can we adjust the tactics to make a particular outcome happen? e.g., how should the defending players be repositioned to decrease the probability of shot attempts?

TacticAI’s main use is to assist current coaches by finding similar corner kicks and testing different tactics to influence a decision.

Instead of analysts reviewing the footage of previous games over and over again to discover a specific team’s corner routine, the technology computes the numerical representations of players to easily look up past routines.

The AI technology’s generative model allows human coaches to redesign corner kick tactics to optimise probabilities of certain outcomes, such as reducing the probability of a shot attempt for a defensive setup.

TacticAI provides tactical recommendations which adjust positions of all the players on a particular team. From these proposed adjustments, coaches can identify important patterns, as well as key players for a tactic’s success or failure, more quickly.

In Google’s quantitative analysis, it showed that TacticAI was accurate at predicting corner kick receivers and shot situations, and that player repositioning was similar to how real plays unfolded.

Human football experts from Liverpool FC found that the tech’s suggestions cannot be distinguished from real corners and were favoured over their original situations 90% of the time. The data is demonstrating its efficiency and usefulness at the top level.

Google are trying to find new ways to utilise AI in football because the sport is a very dynamic and challenging game to analyse. The company is using this technology to try and blend human expertise (Football coaches and analysts) with the AI’s analysis suggestions to help make coaching at the very top level more efficient.

Most Popular Topics

Editor Picks

Send this to a friend