TECHNOLOGY
ManoMotion’s Physical AI Framework for Human-Machine Interaction
AI INDUSTRIAL SAFETY
Empowering AI to predict human intent, enabling smart, predictive safety solutions and
unlocking a multi-billion dollar market.
PHYSICAL AI FOR INDUSTRIAL SAFETY
The same vision-AI framework that powers hand tracking and gesture control is what makes ManoMotion the only company shipping a certified vision-based safety system for industrial machinery. Where traditional safety systems react to a hand entering a danger zone, our Physical AI predicts intent. It sees the operator, understands what they are about to do, and triggers a safety action before contact occurs.
- +99% detection accuracy across hand and full-body motion
- <10 ms end-to-end latency on standard hardware
- First vision-AI machine safety solution certified in Germany
A PARADIGM SHIFT
From reactive safety to predictive safety. Today’s machine safety only responds after a hand has crossed a threshold, and milliseconds of warning are rarely enough. ManoMotion’s framework replaces that with predictive Physical AI: a system that puts humans at the center of machine design.
Sees
A single off-the-shelf RGB camera streams real-time spatial vision to the AI, no lidar, no structured light, no retrofit hardware.
Understands
Patented gesture-search engine, trained on millions of hand models, reconstructs hand and body posture in 3D and infers intent.
Prevents
Safety signals fire to the machine controller before contact. Sub-10 ms response stops the equipment in time to protect the worker.
SAFERHANDS™
Vision-based predictive safety for industrial machines, built directly on the ManoMotion AI framework. With a single RGB camera and an NVIDIA Jetson module, SaferHands continuously maps Safe, Warning, and Danger zones around dangerous equipment — and fires a safety signal before injury.
- Tracks multiple hands and full body simultaneously
- Optimal detection range 50 cm – 100 cm (customizable)
- GPIO output for direct integration with industrial controllers
- Compatible with NVIDIA Jetson Xavier NX, Nano and Windows boards
WHY OUR TECHNOLOGY IS A GAME CHANGER
Certified
Officially safety-certified on industrial machinery in Germany, the strictest market in the world for machine safety.
Predictive
Patented gesture-search engine infers human intent in 3D before a hazardous motion completes.
Proprietary Data
Trained on a synthetic data generator we built in-house, one of our 15 granted patents covering millions of hand models.
Standard Hardware
Deploys on commodity vision sensors and NVIDIA Jetson, no light curtains, no expensive machine modifications.
ONE FRAMEWORK, EVERY DANGEROUS MACHINE
SaferHands is applicable across a wide range of machinery: table saws, band saws, drills, mills, lathes, presses, roller mills and bending machines. The same Physical AI runtime adapts to each, with full-body and multi-user awareness for shared workspaces. Machines covered: Table saws · Band saws · Drills & Mills · Lathes · Presses · Roller mills · Bending machines.
Trusted partners include global machine manufacturers, manufacturing industries and AI automation giants.
WHY PREDICTIVE SAFETY MATTERS NOW
Industrial accidents remain one of the largest sources of preventable human and economic harm. New EU Regulation 2023/1230 has further raised the bar for machine builders, making intelligent, vision-based safety a near-term requirement, not a nice-to-have.
340M
Workplace injuries / year (global)
18,000
Amputations · USA, 2020
13,000
Non-fatal injuries · UK, 2020
500
Fatalities · Germany, annually
Sources: OSHA, BLS, HSE, Eurostat (2020–2023)
BRING PREDICTIVE SAFETY TO YOUR MACHINERY
Talk to our team about integrating the ManoMotion Physical AI framework or SaferHands™ into your industrial product line.
Physical AI FRAMEWORK
Human-level vision meets intelligent interaction
Compatibility
Works on standard hardware
Market Leadership
First certified vision-AI for machine safety, optimized for XR
Performance
+99 % accuracy, <10 ms latency
Unique IP
AI-driven gesture search engine, trained on millions of hand models.
ADVANCED HAND TRACKING
Accurate hand motion analysis in 3D space
- Tracks x, y, z rotation for each joint
- Identifies left/right hand orientation
- Determines hand side and joint orientation
- Measures relative depth based on distance (0-1 range)
GESTURE ANALYSIS
Understand user intent through AI-powered gesture interpretation.
- Analyzes sequences of hand movements across video frames
- Classifies gesture types based on motion patterns
- Supports experience design by categorizing user intent
- Enables behavior customization
