WATRIX.AI
Gait Recognition Leader
About Gait Recognition
Gait recognition is a novel full-body biometric identification technology. Its core lies in the unique patterns of a person's body shape and posture changing over time.
Static Features
Physiological structure: height, head shape, leg bones, arm span, muscle mass, etc.
Dynamic Features
Habitual motions: leg lifting, arm swinging, head movement, shoulder shrugging,neural sensitivity, etc.
Gait recognition is achieved through several key steps: gait detection, segmentation, tracking, feature extraction, and comparison & recognition.
Gait Detection
Detect and locate walking subjects from surveillance footage
Gait Segmentation
Isolate and extract the silhouette of walking individuals
Gait Tracking
Track movement over time to build dynamic silhouette sequences
Feature Extraction
Extract unique gait features using deep learning models
Comparison & Recognition
Match features against the database for identification
Core Technology
Combining cutting-edge computer vision, deep learning, and biomechanics to deliver an industry-leading gait recognition solution
Long-Range Identification
Accurately identify individuals from up to 50 meters away using standard cameras, covering over 90% of pedestrian targets.
All-Angle Recognition
No subject cooperation required; reliable identification from front, side, and back across full 360-degree views.
Face-Independent Recognition
Unaffected by facial occlusion such as makeup, masks, hats, or other disguises.
Low-Light & Night Performance
Robust to lighting conditions, enabling reliable identification in low-light and infrared environments.
Clothing-Invariant Recognition
Based on body shape and gait patterns, ensuring consistent identification despite changes in clothing.
Carrying-Item Removal (Patented Technology)
Powered by patented silhouette-based technology to minimize the impact of carried objects such as backpacks or walking aids.
Differentiated Advantages
See how gait recognition outperforms other biometric technologies across key metrics
| Technical Advantages | Gait Recognition | Fingerprint Recognition | Iris Recognition | Face Recognition | ReID Recognition |
|---|---|---|---|---|---|
| Recognition Distance | Max 50m | Touching | Max 1m | Max 8m | Max 50m |
| Recognition Angles | Full view | Front | Front | Front | Partial view |
| Recognition Coverage | Full body | Single part | Single part | Single part | Full body |
| Lighting | Not sensitive | Not needed | Infrared | Good light | Not available at night |
| Cooperation | Not needed | High | High | Proper | Not needed |
| Disguise | Hard to disguise | Duplicate / disguised | Duplicate / disguised | Can be covered / disguised | Can be disguised |
| Equipment Requirements | General | Contact-type | Infrared | HD | General |
Application Scenarios
Gait recognition technology is widely deployed across multiple industries
Success Stories
Proven deployments across multiple industries worldwide, validating the reliability and practical value of gait recognition technology
Criminal Investigation
Criminal Investigation
Overcome challenges such as facial occlusion and low-light conditions by leveraging gait recognition technology to identify suspects despite disguises.
Smart Cities
Smart Cities
Deploy a city-wide gait monitoring network with over 5,000 nodes in mega-cities, enabling real-time tracking and enhanced urban security.
Transportation Hubs
Transportation Hubs
Enhance security at international airports by implementing gait recognition systems for targeted monitoring and early warning of persons of interest.
Step Into the Future of Security
Contact us to get a tailored gait recognition solution. Let AI safeguard every inch of your world.