An investigative force multiplierĪrgus Corrections Solutions recently unveiled Echo 2.0, the most advanced biometric identification system available worldwide. Today, correctional personnel can quickly pinpoint solid information from mountains of phone calls at a fraction of the labor cost and with greater accuracy. This scenario has completely turned around thanks to the Echo project. When we did sift through the piles, identifying who was making calls was a gamble as inmates steal, sell and trade phone time regularly. More often, the recordings sat in hard drives, unmonitored for lack of staffing. Here was this wealth of information, hundreds of hours of recordings with possibly minutes of actionable intelligence that would maybe come to light in time for a proper response, if ever. In the past 10 years, facilities have started to collate endless inmate phone calls and visitation recordings. Gathering these little bits of information, however, came at a high labor cost, until recently. Gathered intelligence has been used to solve crimes, to better understand disruptive subcultures within institutions and periodically head off inmate disturbances when we were lucky enough to find information quickly. Turning data into actionable intelligenceįor decades, correctional institutions have come across bits and pieces of intelligence by monitoring the communications between inmates inside facilities and between inmates and their conspirators outside the prison and jail walls, first through letters, then by voice. (Photo courtesy of Argus Corrections Solutions) Risk management has become a top challenge in today’s correctional facilities. ![]() Now both the inmate and her friends on the outside are on the system’s watch list. She was right, but with Argus quietly working in the background, staff were alerted to the issue, then identified the inmate and her conspirator outside the facility. The worker knew the risk she was taking on a recorded line, but she factored in that your facility is running short, and staff has no time to monitor hundreds of phone calls every day. ![]() Wednesday morning, an inmate worker, assigned to clean several housing units, arranged over the phone to bring in and move narcotics from one housing unit to another. Your staff, with the help of Argus Biometrics, saved a life, avoided trauma to personnel and saved potentially millions of dollars in legal damages. Within seconds, your Argus Echo software identified the inmate and Argus alerted your shift supervisor to concerning keywords used by the inmate. No one was monitoring the phone because the night shift was short-staffed. 4, pp.Last Tuesday at 0300 hours, in your special housing unit, an inmate used a PIN from an old cellmate and called his mom to tell her he was going to end his life. Journal: Journal of Intelligent & Fuzzy Systems, vol. Keywords: Image intelligent, automatic processing analysis, deep learning Results indicate that our method not only automatically derives the semantic information of the image, but also accurately understands the image accurately and improve the work efficiency. First, improve the deep learning model and use massive image data to choose and optimize parameters. ![]() The process is completely intelligent and automatically processed. This method only needs to send the image into the system, and then the manual analysis is not needed, and the analysis result of the final image can be obtained. Therefore, based on feature analysis technology, this paper uses the deep learning method to intelligently and automatically analyse the visual image. Deep learning method can extract features step by step in the original image from the bottom to the top. The deg ree of intelligent automated analysis and processing is low, many operations need to be done manually, causing human error, inaccurate detection, and time-consuming and laborious. Ībstract: The image intelligent processing analysis technology uses a computer to imitate and execute some intellectual functions of the human brain, and realizes an image processing system with artificial intelligence, that is, an image processing analysis technology is an understanding of an image. Wei Zhuo, Henan Institute of Big Data, Zhengzhou University, Zhengzhou Henan, China. | Henan Institute of Big Data, Zhengzhou University, Zhengzhou Henan, ChinaĬorresponding author. Guest editors: Suresh Chandra Satapathy, Rashmi Agrawal and Vicente García DíazĪuthors: Wang, Ruijuan a | Zhuo, Wei b *Īffiliations: School of Software, Hanwei Internet of Things Research School, Zhengzhou University, Zhengzhou Henan, China Issue title: Meta-Heuristic Techniques for Solving Computational Engineering Problems: Challenges and New Research Directions
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