Formula One is the fastest and most advanced car racing in the world; it’s on par with Aerospace technology. A fascinating behind the scene aspect of Formula One racing is data analytics. A 2013 ComputerWeekly post reported that each McLaren car on the track had 160 sensors transmitting 1GB of raw data in each race. The amount of data as well as engineers and data analysts increases by each year, says Forbes.
The onsite F1-team at the track and the remote Mission Control team at the headquarter location, thousands of kilometers away, see near live data feed. It’s real-time analysis of essential metrics such as tire pressure and temperature, fuel burn efficiency, torque, downforce, and more. This, combined with predictive models and simulations, give the management adjustment recommendation (called ‘decision support’ by Team McLaren) for the next pit stop or the ability to create a new race strategy. Things that mean win or lose a race. And since measuring the right information is a key, the exact number of data points and metrics collected is a team secret.
This is pure magic in hands of the Team McLaren. So much that they supply the telemetry systems for all its F1 competitors. But it doesn’t stop there. They soon figured out they can monetize their expertise outside the F1 racing. Thus, McLaren Applied Technologies was born and grown into a powerhouse to consult a variety of clients, Bloomberg describes.
What can Formula One teach any industry? In a nutshell: the value of performance monitoring and analytics. Telemetry and data analytics are not only reshaping businesses of all kind but also our world and culture in a big way. It’s metric times.
Babak Goudarzipour, Co-founder and CEO at Optimum Biometric Labs
OASIS Standard Editor for Operational Performance Monitoring and Reporting
Optimum Biometric Labs’ data analytics tool and expertise assist biometrics vendors and operators. The company is leading an OASIS standard that makes biometric capture devices, algorithms, and systems to become like Formula One cars. That is to transmit their performance for data analysis and operations improvement.
Photo credit: Michael Elleray at Flickr, Modified by Babak Goudarzipour
I think Touch ID and Apple Pay are the finest examples of successful biometric implementations. Apple Pay early adoption rate is impressive: 1% of digital payment dollars during the month of November. And note it is available only on the newest iPhone and iPads and supported by a few, but a growing list of, merchants.
The secret sauce in successful biometric implementations is made of many ingredients. Clearly beyond the scope of this article. But here is one of the main ingredients: it is to see the performance from the end-user perspective! It is a method that is gaining momentum also in the network and infrastructure management world.
Operational analytics simply means to measure and analyze a set of fundamental metrics and properties in order to improve future products and maintain the ones in use.
I had an opportunity to present our product and pitch the benefits of operational analytics to one of my Apple contacts at a biometric conference. No surprise there; what I pitched was rigorously performed by Apple prior to the launch of Touch ID on iPhone 5s thanks to a large number of own testers at Apple. I know many people who still and continuously contribute to improvement of Touch ID and Apple Pay by simply sending back an automated and anonymized feedback to Apple. I can imagine that feedback contains meaningful device and algorithm related metrics for making sense of performance data in order to know what to improve in future products.
My company is standardizing the interface for capturing and making sense of operational metrics and properties for various biometric applications such as Physical Access Control and Automated Border/Passport Control eGates. We lead this work via OASIS-Open who is the organization behind the first standards for web services based biometric devices and Internet of Things.
Merry Christmas and Happy New Year!
Optimum Biometric Labs
For years, the ‘Internet of Things’ has evolved as a game-changer movement. The Swedish Telecom giant Ericsson envisions 50 billion connected devices by 2020. Many sources, including a few I gathered below, predict it as a main trend for 2014: The Rise of ‘Internet of Things’, IoT.
Will ‘Internet of Things’ impact biometric-based applications? It already has: just look at the growing market for networked biometric capture devices for e.g. Physical Access Control applications; and PAC is the beginning.
For core biometric Web services, OASIS and its members have been leading the way with published standards and reference implementations. For a general IoT introduction, see TED/OASIS videos.
More than a decade ago we laid the foundation for our company, Optimum Biometric Labs, with our Web services-based operational monitoring and reporting tool, BioUptime. Today, we are moving forward our pioneering function by partnering with biometric vendors and system owners who want to offer and maintain maximum quality to users while minimizing operational costs.
In the era of ‘Internet of Biometric Devices and Services’ it becomes increasingly important to keep an eye on their vital operational aspects. I’m privileged that our contribution and advocacy are gaining more momentum.
Happy New Year! Babak Goudarzipour, CEO, Optimum Biometric Labs