Type: sound machine, white noise machine, white noise, slumberpod, white noise machine for adults

White Noise Machine Portable Hanging Sleep Sound Machine with 10 Natural Soothing Sounds 3 Timers

Using the white noise machine, can release relatively uniform natural soothing sounds, make your body and mind relax, get high-quality sleep. Lullabies can simulate the environment of the mother's uterus, which can soothe effectively newborn babies when the baby is crying.

Features:

• 10 Soothing Sounds: Built-in 10 soothing sounds-white noise, lullaby 1, cricket, sea waves, clock, birds, heartbeat, lullaby 2, stream, lullaby 3, which can keep little ones feel safe and relaxed, then drift off to sleep slowly.
• Convenient Timer and Volume Adjustable Function: You can set timer options between 15/30/60min to help conserve energy; adjustable volume design enables you to create a best sleeping environment for your baby.
• Automatic Noise Detection Mode: If continuous noise is detected for 10s, just turn on the music by yourself, the sleep machine will stop automatically after 15min of playing, and enter the detection mode again, looping all the time.
• Built-in Rechargeable Battery: Built-in 300mAh battery that can be recharged by the included USB cable, 1 hour fast fully charge and last for 23 hours working time, no need to worry about power off problems.
• Compact and Portable: Compact and lightweight, very convenient to carry around and suitable for travel use; comes with a lanyard, you can hang the sleep machine on baby buggy or other place to save space.

Specification:

• Material: ABS + Electronic Components
• Size(LxWxH): 9.3 x 8 x 2.8cm
• Battery capacity: 300mAh
• Use time: 23 hours
• Charging time: 1 hour
• Power: 1W

Package contents:

• 1 x Sleep Machine
• 1 x USB Cable

Please Notes:

• 1,The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
• 2,Please allow slight manual measurement deviation for the data.