Peer-reviewed article
An FPGA-based IP for recognizing violence against children
Muhammad Alhammami, Samir Hammami ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This is a technical paper describing an FPGA-based hardware system designed to detect violent actions against children using skeletal joint data rather than video images. The system achieved 97.72% detection accuracy and processes at 761 frames per second. While the technology aims to protect children's privacy in schools and homes, the paper focuses on engineering specifications rather than evaluating the intervention's real-world effectiveness or impact on child safety.
Key points
- System achieves 97.72% detection rate for recognizing violent actions against children
- Uses skeleton joints data only to preserve privacy and avoid storing actual images
- Processing speed of 761 frames per second with 2.79 millisecond latency
- Designed for embedded installation in schools for use by school psychologists and counselors
- Can identify both the presence of violence and the type of violent action
Limitations
This is a technical specification paper that does not evaluate whether the system is actually used, accepted, or effective in protecting children in real school or home settings. The document provides no data on implementation, user adoption, or outcomes for child safety or well-being.
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.