Inviza™BLE wearable technology!

  What are wearables? 

The new age of wearable electronics or "wearables" tap into the connected self – they're laden with smart sensors that track our movements and biometrics, often using Bluetooth to sync wirelessly to a smartphone. Others also rely on Wi-Fi connectivity and standalone mobile wireless data connections. Wearables use sensors to connect to you as a person, helping you to achieve goals such as staying fit and active, losing weight, being more organized or tracking your overall . . .  For more on this topic click here.

   Self-powered?  What is energy harvesting? 

Energy harvesting (a.k.a. power scavenging or ambient power) refers to the process of capturing and converting energy from the surroundings to electricity. The energy can either be used immediately or be stored for future use. Energy harvesting works by harnessing small amounts of ambient energy from heat, movement, light, and more.  Just imagine never to have to re-charge your wearable product!

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   What are biometrics? 

Biometrics are now a key facet of everyday life.  Wearable devices measure biometric data to provide individuals with information about their body and lifestyle, from the number of steps they take in a day and calories burned, to their heart rate and quality of sleep. 

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 What’s the Difference Between Artificial Intelligence, Machine Learning and Deep Learning? 

 Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Machine learning (ML) and Deep learning (DL) are two subsets of AI that have been actively attracting attention for several years.  ML is the study of computer algorithms that improve automatically through experience. It is seen as a subset of AI. ML algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. DL (also known as deep structured learning) is part of a broader family of ML methods based on artificial neural networks with representation learning.  

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 What is Predictive Wellness™ Analytics? 

Our Predictive Wellness analytics software uses your biometric data to predict if you may be getting sick using deep/machine learning (see above).  For example, if your body temperature increases to above 100.5 °F (38.1 °C) then you may have a fever.  You may think you are just in a warm room, but our wearable trackers will alert you that you may have a fever coming on.  The sooner you know the better, right?  There are many other health related issue that we can alert you of, where we may recommend you seeking medial attention. For more on this topic click here.

  What is Big Data analytics? 

Big Data is extremely large data sets (in our case biometric data) that may be analyzed computationally to reveal patterns, trends and associations, or "analytics", especially relating to human behavior, health and fitness, medical tracking (e.g. diseases such as diabetes viruses and many more) and interactions.  For more on this topic click here.

 What is our mission? 

INVIZA's mission is to provide concealed wearable technology that is not only invisible to your onlookers, but to you as well.  This is done by seamlessly inlaying flexible electronics, sensors, wireless communication and energy harvesting and storage into your clothing and accessories. We will then bring you health, fitness and location biometric data analytics to your smartphone or other Wi-Fi connected device. When you put on your clothes the InvizaBLE wearable tech comes with them!