Ever wanted Superman-vision? WalabotDIY might deliver
Vayyar Imaging, the 3D-imaging sensor company announced that the WalabotDIY is now available for Australian consumers.
Created especially for home renovators and DIY enthusiasts, WalabotDIY gives users 'Superman-vision' to see up to ten centimetres into drywall, cement and other materials and determine the location of studs, pipes, wires, and moving rodents.
With the Australian launch, WalabotDIY includes a new feature called Pan Mode, which significantly enhances its capabilities by allowing users to scan an entire wall and combine everything detected into a single image and see a 'map' of what's behind their walls.
They can detect multiple studs, pipes and wires, follow the path of pipes and get a full picture of things that are hidden from view.
Raviv Melamed, Vayyar Imaging CEO says, "We were keen to launch to markets that are passionate about DIY and home renovating.
"Walabot introduces a new experience to Australians who want to renovate their house and knock down or cut into walls without making needless mistakes.
WalabotDIY is compatible with all Android smartphones 5.0 and higher, equipped with USB OTG, and connects to the back of the phone and can be used to scan the wall.
Images of objects hidden behind the wall are then projected on the smartphone's screen.
WalabotDIY also helps users know precisely how deep to cut or how far to drill to avoid damaging pipes, wires, and objects hidden behind walls.
Additional features include an adjustable sensitivity setting for optimal calibrations on particular renovation and construction projects, three sensing modes and the ability to seamlessly snap photo screenshots for use in offline analysis.
Vayyar's sensor technology will also enable added features for WalabotDIY in the future and will integrate with the existing WalabotDIY tool as they are announced and released.
The sensors supposedly quickly look into objects, analyse the makeup of materials and track changes and movements.
You can check out WalabotDIY here:
