热红外阵列用于高度自动化的农业机械中人类存在感知系统
Joe Dvorak1, Benjamin Shacklett1, Magdalen Barnes1
1Department of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, Kentucky, USA.
Journal of agricultural safety and health
|August 12, 2025
概括
热红外阵列传感器可以检测到高达3米远的被加热的模拟人类. 有效的检测需要加热模型,具有现实的服装,并仔细考虑传感器像素可观测面积,以获得最佳性能.
科学领域:
- 传感器技术 传感器技术
- 热成像是一种热成像技术.
- 人类检测 检测 人类检测
背景情况:
- 低成本的热红外阵列传感器越来越多地用于各种检测应用.
- 在许多安全和监控场景中,准确检测人类存在至关重要.
- 模拟人类热信号的现有方法需要在传感器测试中进一步改进.
研究的目的:
- 评估低成本热红外阵列传感器与模拟人体模型的检测能力.
- 确定这些传感器可以检测到人类存在的有效范围和条件.
- 为热传感器测试提供优化模拟人体模型的建议.
主要方法:
- 实验使用两种类型的热红外阵列进行:TPAM 166 L3.9和AMG8833.
- 为TPAM传感器使用了一个模拟成年人的加热,穿着,充满水的模型.
- 用于AMG8833传感器,使用了一个受热和未受热的ISO 18497模拟人体模型,代表一个坐着的人.
主要成果:
- 两种传感器都检测到高达3米的距离上加热的模拟人体模型.
- 一个未加热的模型没有引起传感器响应,突出显示了热信号的必要性.
- 检测强度与最温暖的模型部件的可见性相关,并且随着接近而增加,尽管服装可能会阻碍近距离 (<1.5m) 的检测.
结论:
- 热红外阵列传感器能够检测到高达3米的模拟人类存在.
- 模拟的人类模型必须加热,并包含现实的元素,如服装和个人防护设备,以进行有效的测试.
- 将传感器的像素可观测区域与在操作距离的预期加热区域相匹配,对于可靠的检测至关重要.
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