9 reasons I use mmWave sensors in my smart home


Motion detectors are useful smart home devices for creating simple automations, such as turning on your lights when you enter a room or being alerted to motion in your home when you’re away. Standard infrared motion detectors aren’t always the best tools for the job. There are some compelling reasons to choose mmWave sensors instead.

mmWave sensors can track multiple people

mmWave stands for millimeter wave and describes the wavelengths of the radio waves that are used by these sensors, which are small enough to be measured in millimeters. The sensors work on the same principle as radar; radio signals are sent out of the device, which reflect back off objects. The reflected signals are captured and can provide information about the distance, position, and speed of the objects that are reflecting the signals.

Information about multiple targets detected by the Everything Presence Lite sensor in Home Assistant.

An mmWave sensor can send out radio waves in different directions. By measuring the angle at which the signals are reflected back to the sensor, it is possible to detect multiple objects at once. This means that a mmWave sensor can track multiple people in the same room. This is very useful for home automation; if you have two people in a room and one leaves, you don’t want the lights to turn off.

You can monitor (or exclude) zones

Since mmWave sensors can send radio signals out in different directions, it is possible to create specific zones to monitor. For example, if you have a chair in your living room with a reading lamp, you can set up a zone for that specific area of the room. You can then create an automation that will turn on the reading lamp only when presence is detected in that zone, so whenever you want to read, all you need to do is sit in the chair and the lamp will turn on.

Setting up target zones for the Everything Presence Lite sensor in Home Assistant.

As well as monitoring zones, you can also exclude zones from being monitored. For example, if you have some pet guinea pigs in a room, you don’t want them to constantly be triggering presence detection. You can exclude the part of the room where their enclosure is so that their presence is ignored.

mmWave sensors are more sensitive than PIR sensors

One of the most common technologies used in motion sensors is passive infrared (PIR). Our bodies emit infrared radiation in the form of heat, and PIR sensors can detect when the amount of infrared radiation increases, indicating that a person is moving within range of the PIR sensor.

For a PIR to detect motion, there needs to be a fairly significant change in the level of infrared radiation. If you’ve ever used a bathroom with a light triggered by a PIR, you’ll know that you usually end up waving your arms like a lunatic to get the lights to come back on.

In comparison, mmWave sensors can detect much smaller movements. Some mmWave sensors are even capable of detecting minimal movements such as a person breathing. This means that you can detect presence based on much smaller movements than you can with PIR sensors.

mmWave sensors can detect more

Another benefit of mmWave sensors is that they have a wide range of detection. The radio waves used in mmWave sensors have a greater effective range than PIR sensors, which rely on changes in infrared radiation.

In addition, mmWave sensors are also able to work through solid objects. For example, if you use a PIR motion sensor to control the lights in your bathroom, it will stop detecting motion when you’re in the shower with the shower curtain closed, because the curtain will block the infrared radiation from reaching the sensor. You’ll end up showering in the dark.

In comparison, the radio waves from a mmWave sensor can pass through non-conductive materials such as a shower curtain, so they can detect presence even when you’re in the shower, ensuring that the lights stay on until you leave the bathroom.

SwitchBot presence sensor thumbnail.

Compatibility

Home Assistant, Apple Home, Google Home, Alexa

Battery life

2-year (AAA batteries)

Monitors

Presence

Range

393 feet

Automate your smart home with SwitchBot’s affordable mmWave presence sensor. It can detect people in a room whether they’re moving or not, so it’s an ideal solution for automated bathroom lighting and other applications where people may sit still for extended periods.


You can use mmWave sensors for bed presence detection

A challenging thing to do using smart home sensors is detecting when you’re in bed. For long periods there’s usually very little movement indeed, and any movement that does occur is often underneath the covers. A standard PIR motion sensor will struggle to pick up enough motion to tell whether you’re in bed or not.

A mmWave sensor is a better solution. Since it is capable of detecting much smaller movements, it’s better at detecting when people are still in bed or if the bed is unoccupied. For the best results, it’s often recommended to install the sensor either directly above your bed or directly beneath it, since the mmWave sensor should be able to detect motion from this position, too.

A woman sleeping in a bed next to a smart lamp and a smartphone. Credit: Philips/Signify

You may need to combine your mmWave sensor with other triggers, such as a time-based trigger that stops the light from coming on between set hours, or a door sensor that will only detect presence when the door has been shut. There are other methods you can use for bed presence detection, such as load cells under your bed that can detect the weight change when people get in.

mmWave sensors provide more information

A PIR sensor effectively provides one piece of information; it can tell when motion is detected. This is useful for turning on a light when someone enters a room, but it doesn’t provide much information about what happens after that, other than when the motion clears.

In comparison, mmWave sensors can provide a huge amount of information that can be useful in your home automations. For example, many mmWave sensors can track multiple targets at once. Not only can you get information on how many targets have been detected, but you can also access their distance from the sensor, their relative position, and even the speed at which they’re moving.

Information about illuminance, occupancy, target angle, target distance, target resolution, and target speed from an Everything Presence Lite sensor in Home Assistant.

You might not require all this information for your automations, but the more information you have available, the more you can do using your mmWave sensors. For example, if you have three people in your home, and your mmWave sensor detects three targets, you could turn off the heating to all other rooms via your smart thermostat to save using energy unnecessarily.

mmWave sensors are less intrusive than cameras

Another method of detecting presence using smart home devices is to use smart home cameras. You can analyze the feed from a camera using software that can look for motion or use facial recognition to determine if people are present.

A Google Nest camera sitting on a mantle. Credit: Google

This method can be effective, but there are some obvious problems. A major issue is that the people in your home probably don’t want cameras watching their every move. They’re unlikely to want a camera monitoring the rooms where they shower or get dressed, for example.

In addition, this method requires line of sight. If you’re in the shower, a camera can’t see you, but a mmWave sensor is still able to detect you. It won’t film you getting out of the shower, either.

mmWave sensors may be more cost-effective

In general, mmWave sensors are more expensive than PIR sensors. However, a PIR sensor on its own may not be enough to do the job that you want. For example, if you want to use a PIR in your bathroom, you may need to combine it with a door sensor. You can then create an automation that will turn on the lights only when motion is detected after the door has been closed, and won’t turn the light off again until the door has been opened. In effect, you’re using two sensors when a mmWave sensor can do the same job on its own.

A ring contact sensor installed on a door. Credit: Ring

Since mmWave sensors can monitor specific zones, you can also use a single mmWave sensor for multiple automations. As mentioned earlier, for example, you could use the same mmWave sensor to turn on your living room lights when you enter a room but also to turn on the reading lamp when you sit down in a specific chair.

This removes the need to get multiple sensors to do different jobs.

mmWave offers presence detection, not just motion detection

This is the biggest reason to go for mmWave sensors over PIR sensors. PIR sensors are designed to detect motion, but mmWave sensors are capable of detecting presence. These are two very different things.

A motion detector can turn on your living room light when you walk into the room, but once you’ve sat down, it has no idea whether you’re still there or not. With basic automation, the light is eventually going to turn off once the PIR stops detecting motion. You can try to work around this using more complex automation, but it’s still not going to be ideal.

Two people watching an action movie on a TV. Credit: Gorodenkoff/Shutterstock.com

In comparison, a mmWave sensor can not only detect when you enter a room, but it can also tell if you’re still there. As long as your presence continues to be detected by the mmWave sensor, the light in your living room will stay on. It’s only once you’ve left the room and presence is no longer detected that the light will turn off.

You may find that you get the optimum results by using both PIR sensors and mmWave sensors. Some PIR sensors can be a little faster to detect when you enter a room, at which point the mmWave sensor can take over monitoring your presence. You don’t need to use both, however; an mmWave sensor can do both jobs, although it may be a little slower to react.


mmWave sensors aren’t perfect, but they’re better than PIR

Presence detection is a key facet of many home automations. Having your lights automatically turn on when you enter a room can feel like magic until you’re suddenly plunged into darkness just because you’re sitting still. Standard PIR motion sensors can’t detect presence, but mmWave sensors can, meaning you’re far less likely to find the lights going out when you don’t want them to.

mmWave sensors aren’t perfect and can have issues with false positives or slow detection. You might find that a combination of PIR sensors and mmWave sensors gives you the best results. However, I use an mmWave sensor in my home office (the Everything Presence Lite) to control my lights, and I’ve found that the vast majority of the time it works exactly how I want it to.



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



Source link