公共安全预警系统

产品介绍：公共安全预警系统是基于AI智能的高科技创新技术产品，系统通过视频图像微振动分析技术，可实时分析监测公共场合人员的心理、情绪状态，系统最快可在1~3秒内，就能快速的在人群中筛选出具有暴力恐怖倾向的可疑分子，并自动报警提示。 通过“攻击性”，“压力值”，“紧张”，“焦虑值”4项心理情绪指数测算，综合计算目标人物的危险可疑程度，可疑指数越高，目标人物的危险等级越高，超过预设阈值，系统自动以多种方式提前告警提示。 在可疑分子实施暴力事件之前，提前预警，真正做到防范于未然，保障人民的公共安全。应用领域：学校、出入境边检、飞机场安检、高铁站、火车站、汽车站、监狱防暴、银行安保监控、重要会议安保现场。主要特征与比较优势检测速度快：可在1~3秒内，就能快速的在人群中筛选出具有暴力恐怖倾向的可疑分子。隐秘性、非接触、无感知：系统的应用具有隐蔽性，非接触式、无感知的特点。不可伪装性：由于植物神经作用下的肌肉微运动，是不受大脑意识所控制的，所以这种技术分析出来的心理情绪指标，具有不可伪装性的特点，使得测量更加精准可靠。提前预警：可提前预警，真正做到事前处理，防患于未然，保障人民的公共安全。全自动化：全天24小时无人值守，全自动分析监测，发现可疑分子自动报警提示。智能分析算法：运用了先进的机器学习和深度学习算法，可自动学习数据中的规律和模式，自适应地调整预警模型，提高了预警的智能化水平。

Product Introduction: The Public Security Early Warning System is an AI-powered high-tech innovative technological product. Adopting video image micro-vibration analysis technology, the system can conduct real-time analysis and monitoring of the psychological and emotional states of personnel in public places. It can quickly screen out suspicious individuals with violent or terrorist tendencies from crowds within 1 to 3 seconds at the fastest, and automatically trigger alarm prompts. It calculates the dangerous suspicious degree of target individuals through four psychological and emotional index measurements: "Aggressiveness", "Stress Level", "Nervousness", and "Anxiety Level". The higher the suspicious index, the higher the danger level of the target individual. When the preset threshold is exceeded, the system will automatically send out early warning prompts in multiple ways. It can issue early warnings before suspicious individuals carry out violent incidents, truly achieving prevention before it happens and safeguarding people's public safety.

Application Scenarios: Schools, entry-exit border inspection, airport security check, high-speed railway station, railway station, bus station, prison anti-riot, bank security monitoring, important conference security sites.

Main Features and Comparative Advantages:
1. Fast detection speed: Can quickly screen out suspicious individuals with violent or terrorist tendencies from crowds within 1 to 3 seconds.
2. Concealment, non-contact and non-perceptible: The application of the system features concealment, non-contact and non-perceptible characteristics.
3. Undisguisability: Since the micro-muscle movements under the action of the autonomic nervous system are not controlled by human consciousness, the psychological and emotional indicators analyzed by this technology have the characteristic of being undisguisable, making the measurement more accurate and reliable.
4. Early warning: Can issue early warnings, truly realizing pre-event handling and preventing problems before they happen, safeguarding people's public safety.
5. Full automation: 24-hour unattended operation with fully automatic analysis and monitoring, automatically triggering alarm prompts when suspicious individuals are detected.
6. Intelligent analysis algorithm: Adopts advanced machine learning and deep learning algorithms, which can automatically learn the rules and patterns in the data, adaptively adjust the early warning model, and improve the intelligent level of early warning.

搜集汇总

背景与挑战

背景概述

该数据集描述了一套基于AI视频分析的公共安全预警系统，通过微振动技术实时监测人员情绪指标（攻击性/压力值等），能在1-3秒内识别高危人员并自动报警，适用于机场、车站等安检场景，具有快速响应、非接触式和全自动化等特点。