Micradar Technology

07/08/2026

🚀 See you at IOTE 2026!

Micradar is excited to participate in IOTE 2026, where we will showcase our latest mmWave radar sensing solutions for smart home, smart healthcare, and intelligent IoT applications.

Discover how radar technology enables:
🔹 Accurate presence detection
🔹 Multi-person tracking
🔹 Fall detection
🔹 Sleep monitoring & vital sign sensing

📍 Booth: 10B19
📅 August 26–28, 2026
📌 Shenzhen World Convention and Exhibition Center

We warmly invite you to visit our booth and explore new possibilities with mmWave radar!

See you in Shenzhen! 👋

07/08/2026

Micradar Decoded #6 Can a mmWave radar tell a snake from a squirrel? 🐍🐿️
Today, we are starting a new discussion about the real-world applications of mmWave radar.
Can mmWave radar be used in the wild to monitor animal activity?
Can it detect and identify different animals such as snakes, squirrels, cats, dogs, or even larger animals?

Let’s decode mmWave radar together.
Read the full article below 👇

A question we recently received: "Can mmWave radar be installed outdoors to identify whether there is a snake, squirrel, cat, dog, wolf, or even a bear nearby?" The short answer is: No. mmWave radar cannot identify specific animals.

31/07/2026

Micradar Decoded #5 | Understanding the Three Major Parameters of Home mmWave Radar
When people evaluate mmWave radar for home application, they often ask three questions:
-How fast can it detect movement?
-How accurate is the ranging?
-How far can it detect?

Today we will share our insight of these.
① "Can it detect fast movement?"
Not really—but that's not because the radar isn't capable enough.
Unlike traffic radar, home mmWave radar uses a wide field of view (typically over 100°) to cover an entire room instead of focusing on a narrow beam. A wider detection angle naturally comes with a lower speed measurement range.
② "Higher distance resolution means better sensing."
Not necessarily.
Distance resolution and motion sensitivity are two completely different concepts.
For indoor radar,
24GHz systems usually have distance resolutions on the order of 50–60 cm.
60GHz systems can improve that to around 10–20 cm, depending on bandwidth.
But here's the interesting part:
Although the ranging resolution is measured in centimeters, the radar can detect motion on the scale of fractions of a millimeter.
That's why it can perceive:
✔ Chest movement caused by breathing
✔ Tiny body movements during sleep
✔ Even slight vibrations on a glass window that are almost impossible to notice with the naked eye.
This extreme sensitivity is also why environmental motion—such as curtains moving in the wind or bedding disturbed by air conditioning—can trigger false alarms if the signal isn't properly filtered. Sophisticated algorithms are what separate human motion from environmental interference.
③ "Can it detect tens of meters away?"
Again, that's not what indoor mmWave radar is designed for.
Because home radar uses a wide-angle antenna, its energy is distributed across a much larger area.
The result is:
✔ Excellent room coverage
✔ Reliable detection within approximately 6–8 meters
✘ Not suitable for detecting people tens of meters away
Long-range radar usually relies on narrow-beam antennas with concentrated energy, which serve entirely different applications.
Home mmWave radar is designed to monitor a room—not a parking lot.

15/07/2026

🎯 See the R60BMP1 in action!

Take a look at our live demonstration of the R60BMP1 mmWave radar performing people counting and multi-person tracking.

In this demo, multiple people continuously enter and move around the room, putting the radar to the test in a dynamic real-world scenario. This footage was recorded on-site and showcases how the R60BMP1 maintains reliable occupancy detection and tracking performance.

Curious about a specific feature or application? Leave a comment and let us know what you'd like to see next—we'd love to demonstrate it!

06/07/2026

Micradar Decoded #4 | Can mmWave Radar Really Run on Batteries? 🔋📡
One of the questions we hear most often is:
"Can I build a battery-powered mmWave radar product?"
The short answer is: Yes—but it depends on the application.
Many people focus on the radar chip's power consumption. In reality, battery life depends on two things:
✔ How little power the system consumes while sleeping
✔ How much time the radar spends actively working
When a radar is actively transmitting, receiving, and processing signals, power consumption inevitably rises. The challenge is to keep that active time as short as possible.
-Why occupancy detection works well on batteries
Occupancy detection is an ideal example.
The radar doesn't need to monitor continuously. It can be awakened by a PIR sensor, a wake-up signal, or simply perform a quick scan every few seconds before returning to sleep.
Because the radar spends most of its time in low-power mode, battery-powered occupancy sensors with multi-year battery life are already a mature and practical solution.

Now consider applications like:
• Fall detection
• Sleep monitoring
• Multi-person tracking
These are fundamentally different.
The radar can't afford to "take a nap."
To detect a fall, it must capture the entire movement—from standing, to falling, to the final posture on the floor.
To analyze sleep, it must continuously observe breathing, body movements, and posture changes throughout the night.
To track multiple people, it must process frame after frame as people move through the environment.
In these scenarios, the radar is working almost all the time, which dramatically increases energy consumption.

The engineering trade-off
A common misconception is that battery-powered radar is simply a hardware problem.
In reality, it's a system architecture problem.
Can the radar be triggered only when needed?
Can another ultra-low-power sensor wake it up?
Can the sensing frequency be reduced without affecting the user experience?
These design choices often have a much bigger impact on battery life than selecting a lower-power radar chip.
The takeaway
Battery-powered mmWave radar is absolutely possible—but only when the application allows the radar to sleep.
If your application requires continuous sensing, the limiting factor is no longer the radar itself—it's the energy budget.

02/07/2026

Discover how the R60BMP1 enables smart occupancy management for hotels and short-term rentals.

Leveraging advanced mmWave radar technology, it accurately determines the number of occupants in a room without using cameras, delivering precise occupancy data while fully preserving guest privacy.

01/07/2026

# Micradar Decoded #3: Can mmWave Radar Reliably Detect Sleep Apnea?

Sleep apnea is one of the most important indicators of sleep quality and overall health.

Irregular breathing or prolonged pauses in breathing can reduce oxygen supply to the body, leading to poor sleep quality. In more severe cases, sleep apnea may be associated with neurological disorders and can introduce additional health risks. This is why medical-grade sleep monitoring systems carefully track apnea events and their duration—whether they last 30 seconds, 60 seconds, or even longer.

Since the early days of mmWave vital sign monitoring, the industry has made significant progress. While heart rate measurement is still affected by individual differences such as age, gender, body type, and sleeping posture, respiratory monitoring has become increasingly reliable.

Today, modern mmWave radar systems can typically measure breathing rate within ±2 breaths per minute. For example:

• If the actual breathing rate is 10 BPM, the measured result is usually between 9 and 11 BPM.
• If the actual breathing rate is 20 BPM, the result is generally within a very small deviation range.

For most practical applications, the error has become difficult to notice.

Apnea detection has also improved considerably. However, there is an important technical detail worth understanding.

Unlike polysomnography (PSG) and other medical-grade monitoring methods, mmWave radar does not directly measure airflow. Instead, it detects tiny chest and body movements caused by breathing. To confirm an apnea event, the radar typically needs to observe multiple missing breathing cycles before making a reliable judgment.

For example, if a person breathes 10 times per minute, each breathing cycle lasts about 6 seconds. The radar often requires two or three consecutive missing breathing peaks before confirming an apnea event. As a result, apnea detection usually includes an inherent delay of around 10–20 seconds.

This means mmWave radar can accurately record the occurrence of apnea events, but the exact duration may differ slightly from medical reference equipment.

The good news is that the technology continues to improve rapidly.

Recent advances in signal processing and AI algorithms have significantly enhanced respiratory monitoring under different sleeping postures, including side-sleeping and back-sleeping scenarios. Today's radar-based sleep sensing systems can already distinguish between stable sleep breathing and awake activities such as reading or using a smartphone in bed.

In practical deployments, apnea event detection accuracy has reached a level where the phenomenon itself can be reliably identified in most cases. Combined with sleep stage analysis, bed-exit detection, body movement monitoring, and other health indicators, mmWave radar is becoming increasingly capable of reflecting real-world sleep behavior.

There is still room for improvement, especially in apnea duration accuracy, but the gap continues to narrow.

At Micradar, we will keep pushing both 24GHz and 60GHz radar technologies forward to make sleep sensing more accurate, more reliable, and more meaningful for everyday health monitoring.

26/06/2026

🎯 Micradar Decoded | Episode 2
Welcome to Micradar Decoded, our new knowledge-sharing series focused on mmWave radar technology.

Today's topic:
How Can mmWave Radar Work with PLC Communication?

This month, during discussions with partners from the Shanghai Lighting Association, Leaguer Microelectronics, and Jiapu at the Shanghai Import & Export Exhibition, an interesting question came up:

How can mmWave radar be integrated with PLC communication networks?

The answer starts with understanding the role of each technology.

mmWave radar is a sensing device. It detects what is happening in a space:
• Is someone present?
• Has a person fallen?
• How well are they sleeping?
• What is their activity status?

PLC, Wi-Fi, Bluetooth, 4G, KNX, Matter, Apple Home, Xiaomi Home, HarmonyOS, and other protocols are communication channels. Their job is to transport data.

A complete smart sensing solution requires both sensing and communication.

For example, in a hotel or elderly-care application:
mmWave radar → PLC network → Gateway → Cloud platform / Management system

The radar collects occupancy, fall detection, sleep, or vital-sign data. PLC transmits the information to the gateway, which then uploads it to the application platform where functions such as:

✔ Fall alerts
✔ Sleep analysis
✔ HVAC automation
✔ Smart lighting control
✔ Elderly care management
can be realized.

This is why we often emphasize that communication is only part of the system architecture.

Whether the data is transmitted through PLC, Wi-Fi, Bluetooth, 4G, KNX, Matter, Apple ecosystems, Xiaomi ecosystems, HarmonyOS, or healthcare platforms, the sensing capability remains the same.

At Micradar, our focus is on what we do best:

Building high-performance mmWave sensing algorithms and sensor solutions.

Our sensors can interface with various communication modules through standard serial communication, allowing partners to integrate them into different ecosystems and application platforms.

Because in the end, a successful smart sensing product is not just about sensing or communication—it is about delivering value at the application level.

What communication technologies are you currently using in your smart building, smart home, or healthcare projects?

25/06/2026

🎯 Micradar Decoded | Episode 1
Welcome to Micradar Decoded, our new knowledge-sharing series focused on mmWave radar technology.
Today's topic: Can mmWave Radar Be Used in Wearable Devices?
A question came up recently:
"Can mmWave radar be integrated into wearable devices such as necklaces, pet collars, or animal monitoring tags to measure respiration and heart rate?"
The short answer is: No
Here's why.
Most mmWave radar systems operate in one of two modes:
• FMCW (Frequency-Modulated Continuous Wave) radar, which can measure both distance and motion.
• Doppler radar, which measures motion only and does not provide ranging information.
For vital sign monitoring, FMCW radar is the technology most commonly used because it can isolate a target and detect the tiny chest movements caused by breathing and heartbeat.
However, FMCW radar has an important limitation that many people overlook: minimum detection distance.
For typical 24GHz FMCW radar systems:
✅ Distance resolution is usually around 50–60 cm.
✅ The minimum detection range is typically about 20–25 cm.
For typical 60GHz FMCW radar systems:
✅ Distance resolution can reach 10–15 cm in practical applications.
✅ The minimum detection range is generally just over 10 cm.
What does this mean?
A mmWave radar sensor cannot reliably measure respiration or heartbeat when it is placed directly against the body. Unlike pressure sensors or contact electrodes, radar relies on electromagnetic wave reflection. When the target is too close to the antenna, the radar enters its near-field blind zone and can no longer accurately detect micro-movements.
This is why most successful mmWave vital-sign monitoring products are installed:
• On ceilings or walls
• Beside the bed
• Under the bed frame
• Beneath a mattress with sufficient separation distance
In all of these scenarios, the radar is typically positioned several centimeters to tens of centimeters away from the body.
So while mmWave radar is excellent for contactless monitoring, occupancy sensing, sleep tracking, respiration detection, and elderly care applications, it is generally not suitable for wearable products that require direct body contact or ultra-close placement.
What other mmWave radar misconceptions have you encountered in the market? Let's discuss below.

16/06/2026

Take a look at the fall detection and early warning performance of our FDV3-TUYA solution.

Powered by 60GHz mmWave radar technology, FDV3-TUYA provides real-time fall detection and instant alerts while preserving user privacy—without cameras or wearable devices.

Designed for elderly care, assisted living, and smart home applications, it helps caregivers respond faster when every second matters.

🎥 Watch the demo and see how reliable fall detection can enhance safety and peace of mind.