Wi-Alert: WiFi Sensing for Real-time Package Theft Alerts at Residential Doorsteps
Wi-Alert: WiFi Sensing for Real-time Package Theft Alerts at Residential Doorsteps
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DOI：
10.1145/3565287.3617615
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发表时间：
2023-10
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影响因子：
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通讯作者：
Maya McDonough;Thomas Moomaw;Md Touhiduzzaman;E. Bulut
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文献类型：
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作者：
Maya McDonough;Thomas Moomaw;Md Touhiduzzaman;E. Bulut
由于电子商务的快速增长，包裹交付到住宅门口的数量显着增加。然而，网上购物的便利性也导致了包裹盗窃的增加，给消费者和公司都带来了挫折和经济损失。虽然各种商业解决方案可用于解决包裹盗窃，但它们通常具有相当大的缺点，例如高持续成本和隐私问题。针对这些问题，我们介绍了Wi-Alert，一种基于WiFi传感的包裹检测系统。我们的解决方案分析从周围WiFi信号中获取的信道状态信息（CSI），并采用经过训练的深度学习模型来识别前门的移动。该系统可以准确区分各种行为，如敲门、逗留的访客、包裹递送和包裹盗窃。这些操作会触发实时警报，使用户能够监控他们的前门活动，并迅速响应安全威胁。通过真实世界的实验，我们展示了该系统在不同的住宅环境，包括住宅和公寓楼的多功能性和实际应用。我们的解决方案提供了一种方便、经济的方法来增强包裹安全性，让接收包裹的个人放心。
Since the rapid growth of e-commerce, the number of package deliveries to residential doorsteps has significantly increased. However, the convenience of online shopping has also led to a rise in package theft, resulting in frustration and financial loss for both consumers and companies. While various commercial solutions are available to address package theft, they often have considerable drawbacks, such as high ongoing costs and privacy concerns. In response to these issues, we introduce Wi-Alert, a budget-friendly WiFi sensing-based package detection system. Our solution analyzes Channel State Information (CSI) acquired from ambient WiFi signals and employs deep learning models trained to identify movements at the front door. The system accurately distinguishes between various actions, such as knocking, lingering visitors, package deliveries, and package theft. These actions trigger real-time alerts, enabling users to monitor their front door activity and swiftly respond to security threats. Through real-world experiments, we demonstrate the versatility and practical application of the system in diverse residential settings, including houses and apartment buildings. Our solution offers a convenient and economical approach to enhancing package security, providing peace of mind to individuals receiving deliveries.