Anti Snoring Pillow

Sleep care equipment

Smart Boaz

While You Were Sleeping,

We analyze your breathing sounds during sleep to improve snoring and provide a comfortable and restful sleeping environment.

a deep learning-based
personalized sleep care equipment

Snoring’ that interferes with your sleep! Improves sleep quality by implementing effective improvements.

It provides customized sleep analysis services based on deep learning and radar sensors,
and user-centered equipment for convenient use.

The Flow Chart for AIoT Sleep Tech “Sleep Care Solution”

  • Real-time operation to change the direction of the user’s neck to prevent snoring

  • Low noise with no air pump, unlike other anti-snore pillows on the market using air pumps.

  • Radar sensors to distinguish snoring from other person next to the user

  • A comprehensive analysis report on sleep conditions, including snoring frequency, heart rate, breathing rate, and toss and turn based on deep learning and radar sensors

  • Hassle-free because no cleaning or maintenance is required

  • Easy to carry for travel and business trip that needs only a mobile phone and the equipment

Product name A product from USA B product from Germany C product from Korea Smart Boaz (Boaz Health)
Effects Air is injected into the air pad placed under the pillow In response to the sound of snoring to move the head to prevent snoring. The air pocket inside of the pillow is expanded to lift the head and relieve snoring. The air pocket inside of the pillow is expanded to lift the head and relieve snoring. The head cushion under the head and neck immediately activates when the snoring is detected during sleep. It secures the airway and relieves snoring directly and actively.
Technical features The product operates only by the loudness of the sound, not being able to distinguish between snoring sounds. It applied machine learning for the binary classification of snoring and other sounds. It applied machine learning for the binary classification of snoring and other sounds. It classifies snoring breathing sounds with an accuracy of 90% or more by application of CNN-based deep learning inferring technology that classifies breathing sounds during sleep into four levels of snoring breathing sounds.
Competitiveness - The first product released as an anti-snore pillow - It is activated by sounds other than snoring and breathing - Noise occurs when injecting air - Noise occurs when injecting air - It does not move as soon as the user snores, with slow response time. - Noise occurs when injecting air - It does not move as soon as the user snores, with slow response time. - It shows poor accuracy in distinguishing snoring sounds - Extremely low noise(no air injection) - It responds only to the user's snoring noise(it can distinguish other snoring sound from the person next to the user) - It maximizes the anti-snore effect with the immediate response to snoring

customized sleep analysis services through a mobile application.

We provide customized sleep analysis services for users based on deep learning and radar sensors.

It analyzes and provides data during sleep such as the number of snoring, heart rate, breathing count, and tosses and turnings.

It provides UI/UXs centered on the user’s data for more convenient use.

It displays daily sleep data with the icon color changing according to the level of abnormal sleeping activities, and it makes it easy for users to see at a glance.

You can move to the daily sleep data screen and
selectively obtain user sleep data.

Boaz Health not only analyzes customized data based on AI analysis technology but also provides effective solutions with sleep care equipment that have never existed before.