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WiFi Now Sees Through Walls!
6 Jan
Summary
- WiFi signals can detect human presence and movement through walls using deep learning.
- Carnegie Mellon developed a system converting WiFi signal distortions into 3D human silhouettes.
- This technology turns existing WiFi routers into motion sensors without extra hardware.
Researchers have developed a groundbreaking technology that allows WiFi signals to detect human presence and movement through walls. This system, created by Carnegie Mellon University, leverages deep learning algorithms to interpret how WiFi signals interact with the human body, converting distortions into dynamic 3D silhouettes.
Unlike traditional surveillance methods, this approach requires no additional hardware, repurposing existing WiFi routers as motion sensors. The potential applications span from enhancing home security and monitoring the well-being of elderly individuals to aiding search-and-rescue operations, all while preserving a degree of privacy.
However, the innovation also introduces significant ethical and privacy concerns regarding potential misuse for surveillance. While the technology is in its early stages, developers acknowledge these issues and are working on incorporating privacy-preserving features for responsible implementation.
