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About Our Technology
Welcome to the official website of KwikNik™, formerly known as Remote Biometrics Data Retrieval Implementation Project (ReBDRIP) and branded
as KwikNik™ in late 2007. KwikNik™ is a brand-new type of thinking. We have taken existing face recognition technology, heavily modified and calibrated by our in-house experts, and put it to work on a vast proprietary database of publicly available information, such as high school yearbooks and social-networking profiles. The result is an innovative system which can help forge new connections and expand interpersonal networks, and also help those who suffer from prosopagnosia.
KwikNik™ is the first application of face recognition technology in a non-security context. KwikNik™ is liberated from restrictions which previously made the real-world utilization of face recognition difficult. Since the database sourced contains only female faces, facial hair, which sometimes causes accuracy problems, is not an issue. Moreover, the vast majority of primary sources are professionally shot frontal portraits, obviating the need to deal with the thorny issues of head rotation and image quality. Similarly, countour changes, caused by an onset of obesity, are irrelevant on an applied level, as obese subjects are unlikely to be queried. This explains why we can consistently return matches with a very high match probability.
We are a truly international company. The developers who made this technology possible are from Taiwan, China and India. Our principal research center is located in Taiwan, our databasing facility is located in India, and our client base and sphere of operations is predominantly North American. Following the successful deployment of KwikNik™ in the United States, we will expand into Europe, Japan, and other lucrative markets.
About Our Founders
KwikNik™ was co-founded by Josh Roddick, David Wang, and Satesh Kumar.
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Joshua Roddick
Co-Founder and Chief Executive Officer
Josh hails from Arizona but has lived in Thailand, where he built a successful business in the hospitality industry, for 25 years. After the Asian Tsunami damaged the beach resort he owned beyond repair, Josh invested in web technologies and e-commerce applications. In 2006 Josh met David Wang, and came up with the idea for KwikNik™. The establishment of a working project group quickly followed, and within three weeks Satesh Kumar joined. Josh is currently residing in Bangalore, India, where our operations facility processes the databasing of thousands of yearbooks and millions of web profiles.
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David Wang
Co-Founder and Chief Technology Officer
Biography: David Wang has long been involved in biometrics research and development, with a special interest in face recognition. In 2003 he developed the biometrics ID system for Yiang Zhou Security Systems in Chongqing, China, which supplied the primary EE control system for one of the largest companies in China. In 2006, David returned to his native Taiwan to work on the face recognition technology application methodology for KwikNik™. After initially experimenting with various linear systems, David shifted to a weighted vectorized algorithm, which is being adapted under license from the vendor. David is assisted by a team of researchers including Sally Ng and Donald Fung.
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Satesh Kumar
Co-Founder and Chief Information Officer
A graduate of Bangalore Institute of Technology and formerly affiliated with InfoSys, Satesh Kumar is co-founder and Chief Information Officer of KwikNik™. In March he designed and started building what is thought to be the largest semi-automated optical recognition and databasing operation in India. Satesh personally implemented or supervised all facets of the processing facility, including communications, backup and physical storage. Satesh also developed the system for batch-processing web pages, and the integration process for the manual processing facility.
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About Our Operations
We are currently at a critical juncture in our development. KwikNik™ was founded in 2006 as an experimental project. The project has been undertaken in a series of phases. The first phase was to study feasibility, to develop the architecture of the operational process, and to build a viable cost structure. The second phase was to develop operational systems, recruit human resources and test the implementation of the process flow. In this phase we also deployed off-the-shelf support applications (such as ecommerce, client management, and accounting systems). We are currently at the stage of building limited awareness and raising the funding for the full-scale implementation of the business.
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