Dr. Tajinder Manku, Founder & CEO of Cognitive Systems, with WiFi Sensing technology deployed in more than 20 million homes.

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​For hundreds of thousands of years, humans have understood the world primarily through light. Our eyes interpret changes in visible light to recognize people, navigate our surroundings and understand what's happening around us.

Today, another sensing modality is emerging that uses radio waves rather than light.

As the wireless industry looks beyond Wi-Fi 8, Wi-Fi has already evolved beyond communications to become a foundation for spatial intelligence: the ability for buildings and connected environments not only to communicate but also to understand what's happening within the spaces they serve.

Spatial intelligence extends beyond any single technology. Cameras capture visual information, radar measures movement and distance, wearables monitor physiology, and environmental sensors measure conditions such as temperature and air quality.

Wi-Fi sensing adds another capability by observing how radio waves change as people move through a space. Combined with edge AI, cloud computing and AI models that reason across current events and historical patterns, these technologies can help buildings move beyond automation toward contextual understanding of their environments.

Wi-Fi Developing A New Form Of Perception

One technology enabling this shift is IEEE 802.11bf, the Wi-Fi sensing standard, which was released in September 2025. Rather than only transporting information, Wi-Fi can begin observing changes in the physical environment.

Unlike a camera, Wi-Fi doesn't produce an image. It measures how radio waves change as they travel through a building. Because the human body reflects and absorbs radio-frequency signals, movement subtly alters the signals travelling between Wi-Fi devices. Those disturbances become the raw information from which motion, presence and activity can be inferred.

Building On Existing Infrastructure

One of Wi-Fi sensing's greatest advantages is that it builds on infrastructure already deployed at extraordinary scale. Billions of Wi-Fi chipsets are installed in homes, businesses and public environments. Rather than requiring an entirely new sensing network, it allows communication infrastructure to understand the environments it already serves.

In practice, this is a difficult wireless engineering challenge. Detecting a signal change is relatively easy. Determining whether it represents meaningful human activity is considerably harder. Modern environments contain neighboring networks, communication traffic, multipath reflections and wireless interference. Fans, robotic vacuums, HVAC systems, curtains and pets can also disturb signals.

A production-quality system must distinguish human activity from interference, mechanical movement and animals across different layouts, chipsets and deployment conditions. That's the difference between demonstrating motion detection in a controlled setting and delivering reliable sensing at commercial scale.

The volume of raw wireless data also shapes system design. Continuously streaming radio measurements to the cloud would be bandwidth-intensive and costly. Much of the initial intelligence must therefore operate at the edge, within or near the Wi-Fi device.

Embedded AI can filter the radio environment, reject non-human movement and convert raw signal changes into meaningful events. Cloud-based systems can then examine longer-term patterns, combine multiple data sources and generate broader insights.

From Connectivity To Distributed Perception

Wi-Fi sensing is fundamentally distributed. Every pair of compatible devices can create a sensing link, with each link providing a different perspective shaped by distance, orientation, room geometry, materials and movement. The result is a web of sensing links across an interconnected spatial field. This is where Wi-Fi begins to evolve from a communication network into a distributed perception network.

The technology isn't intended to replace cameras, radar, wearables or environmental sensors. Each provides different information.

Cameras offer rich context but may raise privacy concerns. Wearables provide physiological data but depend on consistent use. Environmental sensors measure specific conditions but may not explain the surrounding human activity. Wi-Fi sensing adds passive, non-visual and potentially whole-environment awareness using infrastructure already present in many buildings.

Its greatest value may emerge when the multiple data sources are combined. A motion event alone may be ambiguous. Correlated with time, location, temperature, sleep patterns or previous behavior, it can become much more meaningful.

Spatial intelligence is about understanding relationships among signals and using context to distinguish ordinary activity from events that may warrant attention.

Understanding Behavior Over Time

Cameras are particularly effective at answering immediate questions: Where is someone now? What are they doing? Wi-Fi sensing can provide some real-time awareness without producing an image. In carefully designed deployments, it can detect motion and identify the rooms or zones in which activity is occurring.

Its greater value, however, may come from understanding behavior over time. It can help identify when someone wakes, how much time they spend in the kitchen, whether nighttime activity has increased, whether overall movement is declining or whether a routine differs meaningfully from an established pattern. By identifying trends across days, weeks and months, it can support applications ranging from security and energy management to wellness monitoring and aging in place.

As environments become more aware, however, trust must be designed into the technology from the beginning. People should understand what's sensed, what information is produced and how it will be used.

Systems must only collect the data needed to provide a defined benefit and incorporate appropriate security, consent, access controls and governance. While Wi-Fi sensing offers privacy advantages since it doesn't need to capture images or record conversations, privacy must remain part of the architecture and deployment model.

The Next Evolution Of Wi-Fi

Wi-Fi has always evolved in response to the challenges of its time. Early generations focused on affordable connectivity. Later generations addressed speed, latency, capacity and reliability in increasingly dense environments.

The next phase extends that evolution by adding environmental awareness.

Communication will remain the foundation, but understanding the physical environment can become another core capability. As a foundational technology for spatial intelligence, Wi-Fi can help environments become more responsive, adaptive and intelligent.

For its first 25 years, Wi-Fi connected our devices. Over the next 25, it may help those devices understand the environments they occupy. That's the promise of spatial intelligence.

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