Features:
* brand new and high quality
*Automatically Turn on: The PIR motion sensor can scan the heat source that continuously moves within the detection range. When someone appears in the area, the light will automatically turn on.
*Solar Light: The solar light needs 6 hours of sunlight charging during the day and 10 hours of normal operation at night. No wires are needed, providing you with an economical, low-carbon and environmentally friendly life.
*Fast Charging: Solar panel charging depends on the duration of light and weather conditions. The stronger the sun, the shorter the charging time. On cloudy or rainy days, battery efficiency is reduced, resulting in shorter lighting times.
*Wide Application: Outdoor solar lights, suitable for gardens, swimming pools, fences, courtyards, driveways, stairs, exterior walls, etc., heat, weatherproof, no need to worry about outdoor damage.
Modes instruction:
There are 3 modes with this light at night and click the turn/off button to change modes.
1.Induction mode:
The light will automatically turn up when someone is approaching sensing distance.
It will automatically turn off when someone leaves for 30 seconds.
2.Dim Light Induction mode:
The light will automatically become brighter when someone is approaching sensing distance.
It will automatically dim and stay on, when someone leaves for 30 seconds.
3.Always light mode
It will always 50% brightness at night with no inductiong function.
Specifications:
*Material: ABS
*Item Size:Length:227mm, Width:84mm, Thickness:40mm
*Highlight Delay: 20s
*Lighting Angle: 360°
*Solar Panel: 5.5V/2.5W
*Charging Time: 6-8h
*Working Time: 1-2 days
*LED Qty: 72COB
*Battery: 3.7V 1200mAh lithium battery
*Working Mode: Light up immediately after dark
Package Included:
1 X Solar Sensor Light
1 X Mounting Accessories
Note:
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.
