mmWave radar sensor
1. Features of mmWave radar sensor
A. High-precision human body sign detection (0.1mm).
B. Low hardware cost and cloud cost (easy to connect to the platform).
C. Privacy protection, the camera used for early monitoring is not suitable for private places such as bathrooms, bedrooms, and bathrooms.
D. Non-contact monitoring of the human body. Most of the early uses were wearable or handheld products, or personal detection. At present, millimeter-wave radars do not have human body contact products or solutions.
E. Millimeter radar waves are not easily affected by temperature, humidity, noise, airflow, dust, light or other environmental factors.
F. Different wavelength radar applications have different characteristics in the actual development of our product functions.
G. Point cloud imaging algorithm for human body sign recognition.
H. Real-time detection of micro-fluctuations on human skin, muscles, chest, back, joints, and all-round surfaces, using FMCW acquisition methods. Combining intelligent hardware front-end and cloud algorithms, AI and ML, and big data combine to provide accurate detection data.
2. Application scenarios of mmWave radar sensor
The millimeter-wave vital sign sensor can conduct long-term continuous monitoring of the vital sign data of the elderly and children, or people in need of care, 7×24 hours, including, but not limited to:
A. Sleep mmWave radar sensor
Real-time detection, collecting micro-movements of human skin and muscles for the human body’s lying state, and using front-end algorithms, combined with AI, ML, big data, and cloud algorithm processing and inspection.
To obtain accurate sleep level analysis and early potential danger prediction , Pre-judgment of the sleep system, providing powerful and accurate data for doctors to make accurate judgments.
B. Breathing mmWave radar sensor
Real-time detection, subtle changes in human surface skin and muscles, through professional algorithms, calculate the range of motion. AI, ML, big data, and algorithms are used to process and detect the data of the respiratory system, so as to achieve early prediction of potential respiratory system risks, early prediction of respiratory system diseases,
And provide powerful and accurate data for doctors to make accurate judgments. For the elderly with poor breathing, a ventilation fan can be installed, and an oxygen machine can be added if it is serious.
C. Heartbeat millimeter wave radar sensor
Real-time detection, using AI, ML, big data, and algorithms to process and detect heart rate data, to achieve early potential heart risk prediction, cardiovascular system prediction, and provide powerful and accurate data for doctors to make accurate judgments.
D. Unusual events
E. Get out of bed
F. Falling bed
G. Fall millimeter wave radar sensor
Restroom falls and retention (slippery areas, including bathrooms, kitchens, etc.)
With age, some degeneration occurs in various parts of the human body, for example, muscle atrophy, slow reaction, poor sense of balance, blurred vision, bone atrophy, making the elderly prone to falls in common household bathrooms or slippery areas Danger.
There are no rescue devices and induction night lights. The elderly have different requirements for night lights than young people due to the decline of their night vision system. They need to reduce glare and reduce the risk of falls
H. Human presence mmWave radar sensor
I. Multiplayer Statistics
Real-time detection, using AI, ML, big data, algorithm to process and detect the actual data of human gait, to achieve early potential thigh and calf, knee joint, ankle joint, foot, all lower body muscles, joints, etc.
And the movement system Risk prediction and early disease prediction of human body signs provide powerful and accurate data for doctors to make accurate judgments.
L. Buman mmWave radar sensor
Make timely warnings of unexpected situations in the body. Provide life and life protection for the life, health and safety of disabled and demented people who need care, children, the elderly and other groups.
Real-time detection, using AI, ML, big data, and algorithms to process and detect the actual data of human body movement, so as to achieve early potential risk prediction of muscles and motor systems, early disease prediction of human body signs, and provide powerful and accurate judgments for doctors data.
For the fat loss of the elderly and the weakening of the ability to keep out the cold, you can give some warm reminders. For the range of motion of the human arm, the position of the bathroom heater and the shower head has been improved.
For the elderly with Alzheimer’s disease, near the lamp, directly opposite the toilet, and at the corner of the mirror, make some reminders for action precautions and behavioral norms.
3. Application of mmWave radar sensor
- Elder care
- Medical assistance
- Health warning
- Platform docking
- Continuous monitoring
- Multi-level alarm
- Remote alarm
- Record query
4. mmWave radar sensor application settings
- Coverage: 100 degree cone range
- Accurately measure the range of motion of 0.1mm
- Static monitoring range after falling: 4m*4m
- Fall monitoring range: 3m*3m
- Human presence: activity range monitoring 5m*6m
- Human static range: 4m*4m
- Stay away from high-power electromagnetic equipment with magnetic fields
Millimeter wave radar equipment has the natural advantages of non-contact, low radiation, high precision, and not affected by temperature and humidity. It does not invade privacy, does not affect the normal life of users, and has a high degree of adaptability.
The user’s children or relatives can also obtain the user’s corresponding health report on the mobile terminal every day by binding the APP, so as to realize the sharing of health data with family.
5. mmWave radar sensor alarm function
Fully automatic alarm, no need to manually pull the rope, no touch, no buttons, realize integrated automatic alarm, multi-level alarm, remote alarm. Real-time alarm.