Revolutionary Wall Sensor Provides Real-Time Visual Of What's Behind Drywall & Concrete
Plastic & PVC
Detect plastic & PVC pipes. No more unwanted surprises
Detect metal objects such as studs and pipes
Walabot DIY sees through insulation up to 4 inches/10 centimeters deep
Detects movement behind the wall in real-time
Find and detect the center of wooden studs
See electrical wires hidden in the wall
Who is this useful for?
As long as you have an Android Smartphone, Walabot DIY can be used by contractors, electricians, plumbers, carpenters, and those in need of advanced wall imaging capabilities. It is also perfect for ambitious DIYers and those who want real-time visuals of what is hidden within a wall.
Discover everything Walabot is capable of!
Cutting Edge Technology Transforms Your Android Smartphone into an Advanced Wall Imager
The Walabot Multifunction Wall Scanner uses Radio Frequency (RF) technology for advanced detection.
The tool is a cutting edge device which is paired with an Android phone to produce a visual image of what is inside concrete and drywall up to 4 inches /10 centimeters deep. It can show users what is behind their wall.
Walabot DIY detects metal objects, wood studs, wires, pipes and can show movement behind wall, as well
Step 1: Pan Mode
Get a panoramic view of a full wall line including the distances between objects. Pan mode will show a scan of objects within the wall and approximately where they are located. Pan mode facilitates a quick overview of where studs are placed in the wall.
Step 2: Image Mode
Get visual classification of studs, pipes and more. Walabot’s RF technology will analyze the radio frequency reflections and then show images which are identified by type according to the results. Walabot DIY can identify wooden studs, metal studs, pipes, and wires.
Step 3: Expert Mode
See the raw signals the Walabot sensor detects. Expert mode gives a direct view of the unfiltered RF signals which can show object location in more detail, curves in pipes and wires, the intersection between two objects, movement in real time and can be used to confirm objects found in Pan and Image mode.
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