Cogfs Cable Finder Locator 4 in 1 Wall Scanner Detector Multifunctional Bolt Detector

Features *Precision and Consistency: Our metal detector uses an updated internal sensor that detects the change in spatial density behind the wall and locates the stud center with high accuracy. The wall scanner also shows the edges of the studs to help you check their locations .Make your DIY work easier with our products. *4-in-1 Multi-Function Detection: The upgraded 4-in-1 mode provides users with more detection needs. The stud scan has 4 modes: stud deep metal scan (60mm) and AC scan (51mm). The quick detection saves user time and effort and makes the task easier. A device for professionals homeowners or DIY enthusiasts. *Cable Protection Indicator: Cable alarm detection reaches up to 60mm deep. The advantage is that when searching in stud scan mode / depth scan mode / metal scan mode the cable alarm is always displayed to remind you that AC cables up to 60mm deep should be avoided. *Easy-to-Read Indicators + Alarm: The cable detector has a large LCD display as well as a large audible alarm to know the exact position of the objects. When the material is found the LCD display shows the direction and intensity through a beep and tells you if you are getting closer to the target. Fast detection saves users a lot of time. *Applicable scenarios: The wall detector can detect metal wooden beams and live cables hidden in walls ceilings and floors (the walls ceilings and floors are conventional concrete tiles wood boards etc.) Specification Product name: 4 in 1 wall detector Product number: SH201 Color: silver black yellow black Display: LED LCD green backlight screen Material: ABS/PC Product size: 172*76*37mm Battery specification: 1*9V dry battery (including battery) Packing list 1*4 in 1 wall detector 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.