An FPGA-based IP for recognizing violence against children

Abstract

We present in this paper an FPGA-based IP for recognizing most common violent actions against children (VACR IP). VACR IP uses only skeleton joints data as inputs to keep the privacy of people inside their homes or in the schools. The proposed hardware achieved a detection rate of 97.72%, processing speed 761FPS, and a latency value equals to 2.79msec using a 50MHz system clock. In sum, this research method presents: First FPGA-based IP for recognizing most common child abuses without any privacy breach of people real images by using only skeleton joints data. The IP can detect the violence and the type of the violent action. The IP can be embedded in complete systems to be installed in schools by school psychologists and counselors.

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“…In order to address this worry, a system that makes use of FPGA was suggested. Researchers designed a fog-based system that can accept numerous Kinect sensors near each other, such as at a school or hospital, by reproducing violent activities against children IP and according to number of Kinect sensors and running in parallel with only one FPGA device [69]. The testing with violent actions against children IP yielded promising results, which prompted the researchers to build the fog-based system [69].…”

“…The recommended hardware achieved an over 98 percent detection rate. The FPGA-based intellectual property for recognizing frequent child maltreatment without invading a kid's privacy by using just skeleton joint data, and the IP identifies both violence and kindness [69], [81], [82], [83]. 11.…”