Fennaio | artificial intelligence software

Biometric Recognition AI Software for the Cyber Security industry


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We are specialists in the practical application of Artificial Intelligence including Biometric Recognition AI, Machine Learning, Deep Learning and Data Science Software used within Cyber Security processes and operations

AI Biometric Recognition is an advanced form of AI Recognition, combining several AI technology's to respond to different biometric profiles.

Fennaio only advocates the use of Biometric Recognition AI software when used ethically and within all appropriate human rights, privacy and other relevant laws within your jurisdiction

The power of biometric recognition

Being able to automatically recognise biometric profiles (faces, bodies, vocals, retinas, fingerprints. macromolecular components etc) within images, videos, recordings and samples is an extremely powerful tool in a wide range of businesses, operations, tasks and processes.

By learning from known and highly variable biometric data including all the highly variable and unpredictable biometric attributes; biometric recognition becomes more insightful, more meaningful, more accurate and much more beneficial when used for tasks and processes like: e.g. specific person recognition, biometric classification, automatic and rapid biometric-based diagnosis, anomaly detection, computer vision, self-driving vehicles, behavioural analysis, threat assessment, robotics, security, investigations, and responding to biometric changes in any type of environment, amongst many more cases.

The accuracy of biometric recognition and profiling is directly proportional to what is already known about certain biometric characteristics: the more past biometric data to learn from the more accurate and informed we can conduct future biometric recognition.

NameELDR-I Biometrics
AI EngineELDR-I
Release DateApril 2021
Version1.0
Hosting/installationLocal Standalone, Internal Network or Cloud
IntegrationDirect coupling or RESTful API
PriceContact Us
LicenceContract basis
SLAContract basis
UpgradesContract basis

Artificial Intelligence makes automatic biomteric recognition highly dynamic and incredibly accurate

Learning from past biometric data in order to recognise the same specific or type of biometric profile in the future might sound straightforward for a human - the human brain does this subconsciously on a day to day basis, and it can be easily carried out in a lab - but making this process automatic and asking a machine to do this is extremely complex and demanding, mainly due to the huge amount of variability involved.

If a traditional software programming approach was used, the computer would continually be asking "if this, then learn that; if x and y, learn z". This stepwise methodology is extremely tedious, limited, inefficient and resource-heavy as the program will only do what it has explicitly been told to look for by the programmer; making it next to impossible to account for all possibilities and variations, even in the simplest of biometric demands. You certainly couldn't use this approach for complex and diverse biometric scenarios.

With AI and Machine Learning technology it is now possible to learn from near infinite amounts of variable, constantly changing biometric data in order to carry out much more accurate and rapid biometric profiling and recognition, automatically.

ELDR-I Biometrics is a powerful Deep Learning Biometric Recognition package that can accurately and rapidly help recognise unlimited biometric profiles based on variable past and complex biometric data it has learnt from.

ELDR-I Biometrics is built around our powerful ELDR-I AI Engine, which is a Deep Learning Convolutional Neural Network. ELDR-I Biometrics uses Supervised Learning and Data Classification to learn how to recognise all types of biometric profiles and types thrown at it, regardless of size, complexity and granular detail.

When ELDR-I Biometrics has learnt (trained) from the data, it is then primed to receive current-status biometric data from which to rapidly process - in order to give a response - and that response can range from a simple classification to a "yes/no" to triggering sophisticated downstream events.

ELDR-I Biometrics is highly dynamic, autonomous, configurable, graphical and easily integrated

Dynamic

ELDR-I Biometrics can handle and learn from multiple sources, sizes and complexities of biometric data for numerous environments and requirements simultaneously. Data can be changed at any time and it can continually learn.

Autonomous

By default ELDR-I Biometrics is plug and play - you can simply give it appropriately formatted image data and it will automatically learn from it, including self optimisation, self scaling and classification.

Configurable

In some cases you may be happy with plug and play, however almost everything in ELDR-I Biometrics is configurable; from labelling of data, to colours, displays, output format, learning modes, learning accuracy, all the way through to Convolutional Neural Network dynamics and dimensions.

Graphical

ELDR-I Biometrics uses a rich intuitive GUI Dashboard from which to manage the whole AI process (biometric data preparation, learning, outputting and testing), including a comprehensive suite of gamified charts and other visual displays to monitor everything.

Easily Integrated

AI Integration is our speciality. We understand that AI can be used in a variety of ways and in numerous system-types and processes. We build our software to be entirely modular and there are multiple integration methods and points ranging from network-based RESTful API integration to direct coupling at the code level, depending on the response time required, amongst other considerations.

Key points about our Biometric Recognition AI software

  • Must be used within the boundaries of appropriate privacy, human rights and other relevant laws
  • Can help recognise biometric data, types and profiles to a high degree of accuracy, after learning from past biometric data
  • Can handle numerous data streams and outputs simultaneously
  • Uses our powerful ELDR-I AI Deep Learning Convolutional Neural Network Engine
  • Dynamic
  • Autonomous
  • Configurable
  • Graphical
  • Easily Integrated

Example areas where Fennaio can help with AI, Machine Learning and Deep Learning in the Cyber Security industry


AI can be used all over the Cyber Security industry, including these processes, operations and tasks:
  • threat detection
  • reactive planning
  • response
  • penetration testing
  • ethical hacking
  • encryption
  • monitoring
  • modelling
  • recovery
  • asset management
  • risk management
  • data analysis
  • network security
  • malware prevention
  • incident management
  • trusted attack simulation
  • many more...

How Fennaio can help you efficiently integrate Biometric Recognition AI Software with your Cyber Security operations


AI Education

for Biometric Recognition in the Cyber Security industry
Fennaio helps your Cyber Security organisation with understanding the fundamentals of exactly what Biometric Recognition AI is, how you can use it, where you can use it and how you can implement and integrate it - all in an easy-to-digest manner.

AI Strategy

for Biometric Recognition in the Cyber Security industry
Fennaio works closely with you and your relevant teams to understand your Cyber Security organisation operations and your long term goals so we can plan when and where to introduce Biometric Recognition Artificial Intelligence with minimum disruption and maximum benefit.

AI Tooling & Development

for Biometric Recognition in the Cyber Security industry
Fennaio provides all the relevant hardware, software, network and infrastructure requirements you need to implement Biometric Recognition Artificial Intelligence, whether this be an off-the-shelf software product or system, or a completely bespoke solution, a standalone piece of software or an enterprise-grade package.

AI Data Analytics

for Biometric Recognition in the Cyber Security industry
Fennaio partners with you to fully understand your current data, how it relates to and is currently gathered from your current Cyber Security operations, and how to harvest, analyse and prepare it for use in Biometric Recognition Artificial Intelligence and Machine Learning to result in maximum gain.

AI Learning

for Biometric Recognition in the Cyber Security industry
Fennaio will use your correctly formatted data streams to train the Biometric Recognition AI, Machine Learning or Deep Learning system by using an optimisation and scaling up procedure until the Biometric Recognition AI is fully and continually primed to start outputting useful information for your Cyber Security operations.

AI Visualisation

for Biometric Recognition in the Cyber Security industry
When the Biometric Recognition AI is fully trained, Fennaio will feed it live Cyber Security operations or test data and use various visualisation techniques to confirm with you a beneficial output is being achieved; whether this be a prediction, pattern recognition, a rapid analysis, a diagnosis or any other type of output.

AI Integration

for Biometric Recognition in the Cyber Security industry
When you are satisfied the Biometric Recognition AI software is producing effective results, we will integrate the AI into your existing systems if required. Whether this be at the code level, integration over a network or as a standalone process, we will seamlessly integrate the AI with your Cyber Security operations.

AI Delivery

for Biometric Recognition in the Cyber Security industry
After the Biometric Recognition AI is successfully integrated into your Cyber Security operations, we will continue to monitor the whole Biometric Recognition AI process from data acquisition, analysis, processing, learning, visualisation and output until you are fully satisfied you have an AI system that is achieving your operational goals.

Other AI Software for the Cyber Security industry

As well as Biometric Recognition software for the Cyber Security industry, we provide a comprehensive set of other Artificial Intelligence, Machine Learning, Deep Learning and Data Science software:

How Fennaio works with you at every stage of the AI and ML Integration process.

Whether you are starting out on your first AI project, just interested in the possibilities of AI or are wanting to expand your existing AI suite, we are here to help.

AI Survey & Plan

We will discuss with you where you are, where you want to be, and how we can achieve it with AI - whether by a bespoke solution or using one of our off-the-shelf products

AI Data Analysis & Preparation

We will work with you to gather, analyse and prepare all your relevant data sources for use in the AI system(s)

AI Execute & Visualisation

We will run and tune the AI throughout the AI learning process and enable the AI to produce a real time visual output to confirm the AI is producing beneficial results

AI Integration

When you are satisfied the AI is delivering the results you desire, we will integrate the AI with your new or existing systems

You are one step closer to getting Artificial Intelligence into your Cyber Security organisation

Fennaio has the expertise in the Cyber Security sector to get you up and running with Biometric Recognition AI and Machine Learning in your new or existing systems, software and operations.

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