天津科技

天津科技 ›› 2025, Vol. 52 ›› Issue (01): 71-74.

• 应用技术 • 上一篇    下一篇

基于TRIZ理论的人群计数系统的设计与实现

周朝杰1, 周籽兮2   

  1. 1.天津水运工程勘察设计院有限公司 天津 300457;
    2.天津经济技术开发区第一中学 天津 300457
  • 收稿日期:2025-01-02 出版日期:2025-01-25 发布日期:2026-01-06

Design and implementation of a crowd counting system based on TRIZ theory

ZHOU Chaojie1, ZHOU Zixi2   

  1. 1. Tianjin Water Transport Engineering Survey and Design Institute for Co., Ltd., Tianjin 300457, China;
    2. TEDA No.1 Middle School, Tianjin 300457, China
  • Received:2025-01-02 Online:2025-01-25 Published:2026-01-06

摘要： 人群计数系统作为重要的公共安全应用,能够帮助决策者更好地管理和监控人群密度,防止因人群过度拥挤而导致的安全问题。然而,现有的系统存在一些局限性,如对环境的适应性不强、准确性不高、无法实时响应等。为选择最优解决方案,利用TRIZ理论对人群密度估计系统的研发设计矛盾进行分析,采用OpenCV的Haar Cascade分类器,使用Python语言编程设计完成计数系统,实现了对视频中人数变化的实时统计。

关键词: TRIZ理论, 人群计数系统, 踩踏事故

Abstract: As a vital public safety application,the crowd counting system plays a crucial role in assisting decision-makers to better manage and monitor crowd density,thereby preventing safety hazards caused by excessive crowd congestion. However,existing systems has some limitations such as weak environmental adaptability,inadequate accuracy,and inability to respond in real-time. To select the optimal solution,TRIZ theory is applied to analyze the design contradictions in the development of a crowd density estimation system. The counting system was designed using the Haar Cascade classifier from OpenCV and Python language to realize real-time statistics of changes in the number of people in videos.

Key words: TRIZ theory, crowd counting system, stampede accident

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