Wi-Alert: WiFi Sensing for Real-time Package Theft Alerts at Residential Doorsteps

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.