Recently we ran a poll on our Twitter account that asked the question: Are Cloud applications the future of biometrics?. Thank you to those in our community who participated in the poll and retweeted/shared it with others. Here are the final results:
Do you remember the first time you saw biometric technology? Was it in an early “Star Trek” episode or maybe in “2001: A Space Odyssey?” Have you noticed the biometrics used in recent movies like “Dredd,” “District 9,” or “Ex Machina?”
Biometrics have long been used in science fiction movies to portray a futuristic world of advanced technology. From retina scans to voice identification and facial recognition, we’ve seen these technologies on the big screen for more than 50 years.
Cloud computing is the future of our digital world. It is proven to be a more affordable and convenient solution to store and secure data. Biometric identification management technology utilizes cloud computing, rendering it more reliable and fast, freeing up resources, and creating once unforeseen efficiencies to help increase utility and security.
There are reasons behind the increasing popularity of cloud applications in biometric identification management. These include:
- Multimodal biometrics (a combination of fingerprint, palm vein, finger vein, iris, palm print, DNA, voice, and facial) are now widely adopted by governments, fintech, and private companies. Multimodal biometric deployments generate a lot of data which is expensive to store, risky to manage, and time consuming. Consequently, the cloud is an ideal candidate for multimodal biometric deployments.
- Adopting a cloud biometric identification system enables you to be free of employing an in-house team to manage the system. It will not only save money but also help you to concentrate on your core business and competencies.
- Considering smart spaces, access control applications, mobile applications, and ambient intelligence environments, cloud based biometric solutions provides you excellent deployment flexibilities.
- In terms of speed, cloud computing is far superior to in-house, traditional biometric technology hosting environments. It also speeds up the workforce by reducing the system complexity of an in-house team.
- You have the luxury of parallel processing capabilities in cloud applications where several people can work with the same data without any issues.
- Cloud applications reduce the cost of buying infrastructure including hardware which is a huge burden to many startup companies.
Understanding that cloud applications are the future of cloud computing, you can let us know your opinion by voting in our latest poll on Twitter entitled “Cloud applications are the future of biometric identification management”.
How Law Enforcement Agencies are Using Biometrics
Biometric identification management technology is so efficient for security purposes that law enforcement agencies around the world are embracing it with open arms. They strategically use either a physiological modality, a behavioral modality or a combination of both — the most common modalities in use are fingerprints, iris and facial recognition, gait, and voice recognition. The rapid implementation of biometrics has sparked a revolution within the global law enforcement and security industry.
Data breaches in banking have become commonplace all over the world. Most banks and financial institutions continue to rely on historical password based security systems which are increasingly susceptible to cyber breaches and no longer able to reliably secure data or to prevent bank fraud.
Continuous data breaches in the banking industry clearly demonstrates how antiquated existing identification security is, and something has to change. Due to the challenges that passwords, personal identification numbers (PINs) and physical ID cards present, the banking industry is searching for new technologies which can provide stronger data protection from hackers and they are now considering biometric solutions to solve the problem.
Iris recognition is a biometric modality which captures a photo of the eye pattern, converts the photo to a binary template and then saves the data to a server for future matching. Iris cameras are used to recognize an individual’s unique identity by analyzing the random, unique patterns which visibly appear inside their eye from a certain distance. It utilizes multiple technologies including optics, statistical conclusions, pattern recognition, and computer vision.
Iris recognition biometrics is widely considered to be the most accurate biometric modality among those currently available in the market. A recent Twitter poll we conducted asked what the public feels is the most reliable biometric modality and results indicated that most people trust the reliability and accuracy of iris recognition technology over any other biometric alternative.
2016 will be remembered as a prolific year for the biometric industry. More countries have started integrating biometric identification checks for government services including:
- Border security at airports
- Patient identification at hospitals
- Inmate identity at prisons and jails
Private companies are also leaping into the world of biometrics. 2016 brought a surge of private investment into the use of biometrics to help:
- Improve workforce management efficiencies
- Replace passwords and PINs
- Ensure accurate financial transactions with a strong audit trail
At the end of 2016 we can safely say that the biometric industry shows continued strong growth potential and is now, perhaps used more than ever around the globe and well positioned to continue its spread to additional industries in the near future.
2016 biometric year in review
There are two easy ways to improve workforce productivity: increase working hours by hiring new employees which increases production, or increase current workforce productivity. Both ways improve productivity, but which one is more efficient?
Recruiting new employees is typical for companies that grow and expand. Fresher employers can also provide previously unknown new ideas and perspectives.
However, at some point companies need to think about better capitalizing on the experience level of their current workforce. What is often discovered when evaluating staff experience is that progress remained stagnant because proper procedures were never established that address employee motivation.
The success of a biometric system often depends on choosing the right biometric modality, but it isn’t easy. Careful research that includes rigorous comparisons of modality strengths and weaknesses is an important element to help select the right hardware. Factors to consider in the comparison may include: specifications, convenience, usability, acceptability, effectiveness, and budget.
We recently conducted a Twitter poll: “What is considered to be the most accurate biometric modality among the following options?”
We received a large number of responses from our community reflecting the following results:
- 58% chose iris recognition
- 32% chose fingerprint
- Palm vein and facial recognition both got 5% of the votes
It’s interesting that people immediately gravitate towards iris recognition as the most accurate biometric than other modalities, with only fingerprint as a distant second. What is the reason behind the result?
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