周边安全利用热物体检测
Georgios Orfanidis1, Konstantinos Ioannidis1, Stefanos Vrochidis1
1Centre for Research and Technology Hellas-CERTH, Thermi, GR 57001 Thessaloniki, Greece.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
热成像为安全系统提供了强大的24小时检测,优于传统方法. 本研究评估了人工智能物体检测模型的热谱,以提高监控能力.
科学领域:
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
- 安全技术 安全技术
背景情况:
- 人工智能 (AI) 越来越多地应用于各种领域,包括安全和监视.
- 自动监控系统越来越普遍,推动对先进技术的需求.
- 热探测提供了诸如24小时运行和对环境变化的稳定性等优势.
研究的目的:
- 评估用于监控的热自动检测系统的有效性.
- 评估AI物体检测模型在热频谱中的安全作用.
- 确定热成像对于可靠和高效的威胁检测的适用性.
主要方法:
- 检查仅在热/红外频谱中运行的物体检测模型.
- 基于检测能力和效率来评估系统性能.
- 评估对不同照明和天气条件的强度.
主要成果:
- 热检测提供连续,不间断的监控能力.
- 热频谱中的AI模型显示了有效识别威胁的潜力.
- 该技术展示了对环境和照明挑战的弹性.
结论:
- 热自动检测系统是先进监控的可行组成部分.
- 人工智能驱动的热成像提高了安全机制的可靠性和效率.
- 对于监控应用,建议对热物体检测模型进行进一步评估.
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