违禁品信号识别数据集

本数据集广泛适用于轨道交通站点、演艺展馆、安检通道、法院及公安系统等高人流密度场所，主要用于支撑智能安检系统对金属类违禁物品的快速识别与分类报警。通过特征分析过滤手机等常见随身金属物，精准识别刀具、易拉罐、不锈钢容器等可疑违禁品，有效降低安检误报率，提升安检效率，为公共安全和事件响应提供数据基础支撑。

This dataset is widely applicable to high-foot-traffic scenarios such as rail transit stations, performance venues, security check lanes, courts and public security institutions. It is primarily designed to support intelligent security inspection systems in rapidly identifying, classifying and issuing alarms for metallic contraband. Through feature analysis, it filters common carry-on metallic items including mobile phones, and accurately recognizes suspicious contraband like knives, aluminum cans and stainless steel containers. This effectively reduces false alarm rates of security inspections, improves inspection efficiency, and provides fundamental data support for public safety and incident response.

搜集汇总

背景与挑战

背景概述

该数据集由东莞市华盾电子科技有限公司采集于违禁品探测门系统，包含金属物品的幅度值、相位角度值和相位波动值等信号特征数据，用于智能安检系统中刀具、易拉罐等违禁品的识别分类。数据集采用xlsx格式，通过预设逻辑规则对信号特征进行处理分析，实现常规物品与违禁品的有效区分。