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GESTURE CONTROL & HAND TRACKING SOFTWARE

Gesture Control and Hand Tracking Software for Every Screen

AirTouch is patented gesture control and hand tracking software from Neural Lab. It turns any standard RGB camera into a touchless interface, mapping hand gestures to the mouse, keyboard, and touch inputs your computer already understands. No headset. No proprietary sensor. No SDK, and no integration into the systems it controls.

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What is gesture control software?

Gesture control software reads hand movement from a camera and converts it into commands a device can act on. The good versions do this at the operating system level, so a pinch becomes a click and a wave becomes a scroll across any app you already run, with nothing to integrate. AirTouch does exactly that. Our patented computer-vision models track your hands from a normal RGB webcam and translate intent into input in about 50 milliseconds, fast enough for surgery, live presentations, and gaming.

What is hand tracking, and how is it different?

Hand tracking is the underlying capability: locating and following the hands and fingers in space. Gesture control is what you do with it. Many hand tracking systems demand a depth sensor or an infrared rig bolted to every device. AirTouch's hand tracking runs on any standard RGB camera, which is what makes it deployable at scale instead of in a lab.

How AirTouch works, in three steps

Install. Download AirTouch and point any webcam at the user. That is the setup. Map. Pick gestures from the library and map each one to a mouse click, key press, or touch event. Use. Open the app you already use and drive it with your hands. Nothing to rewrite, nothing to recompile. Most people go from download to their first working gesture in about five minutes.

Why teams choose AirTouch

Any standard RGB camera works: a webcam, a laptop camera, a phone, or an IP camera, and for most deployments we install a dedicated one positioned for the room. Any app you already have works, because we map to the standard mouse, keyboard, and touch inputs your operating system already understands. Patented intent detection separates deliberate gestures from passing hands, so stray movement on a shared display gets filtered out instead of firing an action. It is touchless by design, with nothing to touch, wear, or disinfect, and it runs on Windows, Linux, and Android today, with macOS on the way.

Where gesture control is used

AirTouch runs in operating rooms, museums and showrooms, conference rooms, factory floors, kiosks, and OEM products. Explore the fit for your environment:

Frequently asked questions

AirTouch is gesture control and hand tracking software from Neural Lab. It turns any standard RGB camera into a gesture-driven input device, mapping hand gestures to mouse clicks, keyboard keys, and touch events at the operating system level, so it works with apps you already use without any code changes.

AirTouch hand tracking works with any RGB camera, including your laptop webcam, an external USB cam, a smartphone, and most IP cameras. There is no depth sensor requirement and no proprietary device to plug in.

AirTouch runs on Windows, Linux, and Android today, and macOS support is on the way. Because gestures map to standard mouse, keyboard, and touch input, it works across the apps those systems already run.

AirTouch maps gestures to standard mouse, keyboard, and touch inputs at the operating system level. If an app accepts a click, it accepts AirTouch. There's nothing to integrate.

Setup takes about five minutes in most cases. Start the free trial, run the installer, point any standard webcam at yourself, and map your first gestures from the built-in library. There is no SDK to integrate and no code to change.

AirTouch downloads directly from neural-lab.com. Start the free trial on the pricing page, run the installer on Windows, Linux, or Android, and you are controlling your apps in about five minutes. An internet connection is needed to install and run.

Effectively all of them. Because we map to inputs your OS already understands, anything that responds to a mouse, keyboard, or touch event responds to AirTouch. That includes browsers, presentations, kiosks, CAD software, medical imaging viewers, games, and custom enterprise apps. If your team built it on Windows, Linux, or Android, AirTouch can drive it.

The main options are hand gestures read by a camera, voice commands, eye tracking, and wearable controllers. AirTouch takes the camera route: it tracks your hands through a standard RGB camera and turns 15 gestures into the mouse, keyboard, and touch input every app already understands, so pointing moves the cursor and a pinch clicks. Voice works well alongside it for dictation and commands, while eye tracking and wearables usually need dedicated hardware.

Ultraleap requires a proprietary IR hand tracking sensor mounted to every device. Apple Vision Pro requires a $3,500 headset and works only inside its own ecosystem. AirTouch runs on any standard RGB camera, with a dedicated one installed for most deployments, and works with every app you already have. Neural Lab trades specialized hardware for an AI model trained on millions of hand-pose samples, and trades vendor lock-in for universal OS-level inputs.

50 milliseconds. Fast enough for medical interactions, gaming, and live presentations. We benchmark against the threshold where people stop perceiving lag.

AirTouch tracks individual fingers, so a pinch registers as a precise click rather than a vague wave, and inference runs in roughly 50 milliseconds. Patented intent detection filters out casual hand movement so gestures fire when you mean them to, in most setups. Edge cases like unusual lighting may call for a specialized camera, and the free trial lets you test accuracy on your own camera before committing.

AirTouch is built to prevent exactly that. Patented intent detection confirms a user means to interact before acting. Casual hand movement, conversation gestures, and accidental brushes are filtered out. Other gesture systems fire on any motion their camera sees. That filtering is why enterprises trust AirTouch with transactions where accuracy is non-negotiable.

The hand tracking model is trained for sterile environments (gloved hands, including colored medical gloves), industrial settings (poor lighting, protective gear), and kiosks behind protective panels. Edge cases exist, and some may call for a specialized camera. Book a demo and we'll test against your exact environment.

AirTouch gesture inference runs entirely on-device, so no video leaves the machine by default. Enterprise plans include GDPR-compliant analytics dashboards, on-prem deployment, signed DPA, and SLA.

AirTouch starts with a free trial so you can test it on your own camera and apps before committing. Paid plans are billed per device, per month, and annual billing saves 17%. Current plans are on the pricing page.

Put your hands back in control

Five-minute install. No headset. Any camera. Any app.

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