![]() ![]() Human beings can work with up to a few thousand images, beyond that, every image looks alike at this point, human errors are huge. ![]() When our client wanted to find an image among hundreds of thousands of images in their website, they selected Attrasoft technology. When our client wanted to do product quality control via computer image recognition, they selected Attrasoft technology. When our client wanted to find an image among hundreds of thousands of images, they selected Attrasoft technology. Single website search engine using images instead of Keywordsĭownload image demo, ImageFinderLite. ![]() is an AI (Artificial Intelligence) Deep Learning company.Īttrasoft develops software which can learn, and adapt using our market proven, patented machine learning algorithms. Product ID, Tag-less ID, website image search engine, and video surveillanceĪttrasoft, Inc. doi: 10.1002/widm.Image & Video identification, visual search software for Quality Control, WIREs Data Mining Knowl Discov 2017, 7:e1208. Finally, we highlight the future research directions of big data analytics enhanced criminal investigations. We discuss the merits and challenges of applying big data analytics to the criminal analytics domain. Another contribution of this paper is that we also advocate a novel criminal analytics methodology that is underpinned by big data analytics. We examine some common data sources, analytics methods, and applications related to two important aspects of social network analysis namely, structural analysis and positional analysis that lay the foundation of criminal analytics. In this paper, we review the recent literature, and examine the potentials of big data analytics for security intelligence under a criminal analytics framework. We also extend our study to big data analytics which provides some state-of-the-art technologies to reshape criminal investigations. Then, we explore their recent applications to the criminal analytics domain, and discuss the challenges arising from these innovative applications. We first identify five cutting-edge data mining technologies such as link analysis, intelligent agents, text mining, neural networks, and machine learning. Applications of various data analytics technologies to security and criminal investigation during the past three decades have demonstrated the inception, growth, and maturation of criminal analytics. ![]()
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