







LED Bedside Reading Light with Remote Control for Books in Bed, Bedroom Wall Mounted LED Reading Lamp, 5W 500Lm Dimmable, 3 Lighting Colors, 120° Wide Lighting Angle, Timer Auto Off
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Product Details
【Bedside Wall Light】PRINCEWAY LED bedside reading light with compact design, made of Plastic PC lamp head, ABS lamp base and steel flexible gooseneck. The bedside lamp on the wall can save a lot of space on the bedroom table than the desktop reading light
【LED Wall Reading Light】The newest technology SMD2835 LED components as lighting source, low power consumption 5W provides high brightness maximum 500Lm. 3 CCT lighting colors (5000K-4000K-3000K) can be adjusted sensitively by remote control, provides bedroom reading lighting with different atmosphere
【Remote Control Wall Light】The wall mount bedside lamp with functional remote control by strong signal. After correct code matching, the remote control can adjust 4 levels timer function (10mins- 20mins- 1hrs- 2hrs), the dimmable brightness smoothly or with 4 brightness levels (100%- 75%- 35%- 15%), 3 CCT lighting colors (5000K- 4000K- 3000K)
【5V2A USB Output】The wall reading light is integrated with standard USB output socket, 5V max. 2A to support quick charging for mobile phones, pad computers and other electronic digital equipment. The function is very convenient for power charging during reading or sleeping time
【Simple Quick Installation】The wall mounted reading light can be fixed on the wall by two optional methods. The lamp can be installed on flat wall surface with mounting plate and adhesive tape. Or it can be installed on uneven surface with mounting plate and screws. Usually the installation process takes 3~5 minutes
Best Review
Customers find the lamp bright and easy to install, with one mentioning its adjustable brightness and another noting it takes up very little room. They consider it a great value. The functionality receives mixed feedback - while some say it works well, others report that the remote control doesn't function at all.AI Generated from the text of customer reviews