Open-source RuView project turns regular Wi-Fi into radar for tracking people through walls

On the platform GitHub is gaining popularity open project RuView (WiFi DensePose), which turns standard Wi-Fi equipment into a spatial intelligence locator. The system allows you to detect the presence of people, track their movements and even take vital signs without using video cameras and wearable devices.

How it works.

Instead of visual observation, the system relies on radio physics. Any Wi-Fi router fills the room with radio waves that reflect off walls, objects and human bodies. When movement or even microscopic oscillations of the human chest, radiofrequency signals are distorted.

RuView reads CSI (Channel State Information) data using low-cost sensors and processes them using light neural network models.

Key capabilities of the system

• Presence and displacement detection: Determine the presence of people behind obstacles and their number in real time.
• Recognition of posture and activity: The system can distinguish whether a person is standing, sitting, lying down or falling (including 17-point “skeleton” posture construction).
• Monitoring of vital signs: non-contact measurement of respiratory rate and tracking of heart rate dynamics during sleep or rest.
• Protection of privacy: The data is processed locally without transmitting a picture or sound, which solves the privacy problems that characterize video camera systems.

Hardware and availability

The main advantage of the project is the availability of components. Building a base node requires a Wi-Fi-enabled microcontroller (e.g., ESP32-S3 or ESP32-C6, which costs about $10) connected to a board like a Raspberry Pi or a home server.

The project is distributed under a free license. Source code, assembly instructions and finished weights of models published in the official GitHub repositories RuView.

https://x.com/IndieDevHailey/status/2054386235867812240