In the era of the Internet of Things (IoT), home security has become increasingly critical. Here, we have developed a ternary-electrification-layered triboelectric membrane sensor (TEL-TMS) as a cost-effective approach for self-powered home security. This triboelectric membrane sensor holds a collection of compelling features, including decent flexibility and transparency, enabling a tight attachment to the curved surfaces. By integrating it into household devices such as doors, windows, and safe cases, comprehensive monitoring coverage for the entire home can be achieved. The results showed that the TEL-TMS has a speed range detection of 5–165 mm/s, a response time of 0.32 s, an error rate of less than 1%, and exceptional stability (>10,000 cycles). With the further introduction of machine learning algorithms, the sensor can identify different motion states and activity patterns with a classification accuracy of up to 99.2%. Moreover, it is easily detachable and reusable, offering wide applicability. To facilitate practical applications, a custom mobile application (APP) based on built-in algorithms has been developed for one-click status monitoring and intelligent home environment recognition. The development of this TEL-TMS represents a solid step towards self-powered smart home security.

在物联网 (IoT) 时代，家庭安全变得越来越重要。在这里，我们开发了一种三元电气化层状摩擦电膜传感器 (TEL-TMS) 作为自供电家庭安全的一种经济高效的方法。这种摩擦电膜传感器具有一系列引人注目的特性，包括良好的柔韧性和透明度，能够紧密附着在曲面上。通过将其集成到门窗、保险柜等家居设备中，可以实现对整个家庭的全面监控覆盖。结果表明，TEL-TMS 的速度检测范围为 5–165 mm/s，响应时间为 0.32 s，错误率低于 1%，稳定性极佳（>10,000 次循环）。随着机器学习算法的进一步引入，传感器可以识别不同的运动状态和活动模式，分类准确率高达 99.2%。此外，它易于拆卸和重复使用，具有广泛的适用性。为方便实际应用，开发了基于内置算法的自定义移动应用程序（APP），用于一键式状态监控和智能家居环境识别。这种 TEL-TMS 的开发代表了向自供电智能家居安全迈出的坚实一步。