Facial Recognition Market in Light of The Latest Reforms

26 Jul
2016

 
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Personal identity serves as the first point of reference for different purposes—be it security of access, surveillance tracking, customer identification, and/or organizational database management. Among the various attributes that can be collectively held accountable for distinguishing one individual from the other, facial recognition gains utmost importance. The most remarkable fact associated with it is that it serves as the most solid ground for citing evidence in legal, economical, and criminal contexts. This is because nothing beats the satisfaction of visual confirmation. Traditional technologies might not be trained enough to detect anomaly among faces with a high degree of similarity, yet the modern security systems do depend a great deal on it. Contemporary facial recognition market research by Allied Market Research reveals that the novice image processing procedures have had a positive impact on the overall evolution of global market structure. 

Facial recognition market and prevailing technologies

Facial recognition is a program-enabled computer software that establishes the identity of an unknown individual, based on the degree of similarities drawn between the person and evidentiary image, or video source. Facial features, which have been pre-defined by a set of parameters, are evaluated by the program and matched within inputs from different sources. A close match of the image available, to the one sampled from a diverse public facial database, is declared as a positive recognition. So far, the technology has been widely used for military applications, biometric access to devices, consumer identification, and credential management. In earlier models, computer algorithms used to analyze basic structure of a face and mark the relative positioning of its significant features. Generally, they scan through an entire gallery and normalize the data achieved in the process. The compressed data then obtained comprise only the crucial geometric or photometric samples.
 
The gargantuan growth of public database can be an admissible excuse, if the traditional modalities fail to perform the needful with great agility. Corresponding research in the field of image processing led to the discovery of three-dimensional face recognition technique. Multiple viewing angles and profiles used as sample for 3D methods eliminate the discrepancies that result from differential lighting. The anomaly of orientation, lighting, textured make-up, and multiple visages is normalized in terms of geometry, creating a more diverse reference set. Amidst the progress from traditional approaches to modern 3D techniques, the facial recognition market has overcome its past shortcomings. Statistical examination of spatial relationships of pixels in an image is performed through Gray Level Co-occurrence Matrix (GLCM). This skin texture analysis technique has enhanced the accuracy by visiting slightest details of face captured through high-resolution image capturing devices. Space-age sensors also, have a lot to do when it comes to these extremely sensitive cameras that ensure appropriate cognizance of facial expressions as well. 

Privy benefits beyond privacy concerns

Federal agencies use their position as leverage when it comes to data collection. Installation of public cameras, enabled with facial recognition technology, at important places or along major routes is common. Thousands of faces that these cameras come across each day, helps build a vast dataset that are simply available a few clicks away. They are the same ones, which can tag a face with its complete personal profile and trace its recent appearances on multiple location. For instance, security cameras installed in a public space can identify the presence of a face in its vicinity, tag it to its public profile, and then continuously trace its movement through other cameras in the network. 

Chances are, that the consumer segments would opt for anonymity anytime over being recognized all the time. This is obvious in the light that no individual feels entirely comfortable about being watched and monitored all the time. In addition to that, governmental interference in personal activities of the republic is a matter of conflict. the provision of extreme level of security, which a certain class is entitled to, agencies do not cease to express interest in the activity tracking. In fact, various organizations use this as an excuse to identify elite customers and provide preferential treatments as well as suitable arrangements. The retail providers who use such methods to track their customers draw analogy to the on-site cookies. The entry of facial recognition market into the commercial and retail segment has opened new consumption perspective for the industry offerings. 

Facial recognition market forecast

It was recently declared that the bodycams carried by the federal security forces on their self, are to be enabled with the facial recognition technology. Live streaming from vast on-cloud databases will ease on-the-spot identification of suspects. Major manufacturers of off-the-shelf body cam equipment have their strategies in line with the growth of the market. For instance, Axon had lately confirmed its plan to introduce fresh line of products in this segment. Integrated solutions from market vendors intend to quickly adapt with the changing consumer needs and incorporate updated technologies into their products. Within the broad scope of extensive web-based and cloud server architecture, their services will gain speed, scalability, and flexibility.

Better processing outcomes have managed to gain additional trust from its end-application verticals, and thus, wider acceptance from the same. Other modalities, such as fingerprint recognition, pose direct competition to the facial recognition in access management and personal identification applications. Nonetheless, by means of the aforementioned improvements that make the technology foolproof in its approach, the facial recognition market share is bound to grow further. Considering the various applications, homeland security remains the highest revenue generating segment in 2015. However, stakeholders in the facial recognition market look forward to new opportunity pockets that will be created by the retail segment.

 
Akhilesh Prabhugaonkar

Akhilesh Prabhugaonkar

Author's Bio- Akhilesh Prabhugaonkar holds a bachelor’s degree in Electronics Engineering from the reputed Vishwakarma Institute of Technology. He has a special interest in the fields of forensics, world history, international relations and foreign policy, sports, agriculture, astronomy, security, and oceanography. An ardent bibliophile and melophile, Akhilesh loves to write on topics of his interest and various other societal issues. This love for writing made him enter the professional world of content writing and pursue his career in this direction.

 
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