基于树莓派的多智能体系统实时检测儿童拐卖并即时报警
Real Time Child Abduction And Detection System
- 多智能体架构部署于树莓派，每个智能体使用视觉语言模型分析视频流
- 实测达到高精度识别复杂场景中的潜在拐卖行为，响应接近实时
- 适合社区、学校等场所部署，兼顾隐私与低成本
儿童安全仍是全球关注的重大问题，儿童拐卖对社区构成严重威胁。本文提出一种基于边缘计算的儿童拐卖检测与报警系统，采用多智能体框架，每个智能体在树莓派上部署视觉语言模型（VLMs），实现对各类环境中儿童复杂互动的实时精准检测与理解。系统通过连接摄像头的树莓派作为边缘设备处理视频流，显著降低延迟并增强隐私保护。集成的警报系统利用Twilio API，在检测到潜在拐卖事件时立即发送短信、WhatsApp消息及电话通知。实验结果表明，该系统在检测潜在拐卖场景方面具有高准确率，具备近实时性能，适用于实际部署。多智能体架构提升了对复杂情境数据的处理能力，优于传统单模型方法。边缘部署确保了系统的可扩展性与成本效益，可广泛推广。本系统为提升儿童安全提供了主动监测与快速响应方案，是预防儿童拐卖的重要工具。
原文摘要 · Abstract (English)
Child safety continues to be a paramount concern worldwide, with child abduction posing significant threats to communities. This paper presents the development of an edge-based child abduction detection and alert system utilizing a multi-agent framework where each agent incorporates Vision-Language Models (VLMs) deployed on a Raspberry Pi. Leveraging the advanced capabilities of VLMs within individual agents of a multi-agent team, our system is trained to accurately detect and interpret complex interactions involving children in various environments in real-time. The multi-agent system is deployed on a Raspberry Pi connected to a webcam, forming an edge device capable of processing video feeds, thereby reducing latency and enhancing privacy. An integrated alert system utilizes the Twilio API to send immediate SMS and WhatsApp notifications, including calls and messages, when a potential child abduction event is detected. Experimental results demonstrate that the system achieves high accuracy in detecting potential abduction scenarios, with near real-time performance suitable for practical deployment. The multi-agent architecture enhances the system's ability to process complex situational data, improving detection capabilities over traditional single-model approaches. The edge deployment ensures scalability and cost-effectiveness, making it accessible for widespread use. The proposed system offers a proactive solution to enhance child safety through continuous monitoring and rapid alerting, contributing a valuable tool in efforts to prevent child abductions.
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