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Gait Recognition

Walking Recognition

AI-powered gait recognition transforms CCTV footage into identity intelligence without facial recognition

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Category
Software
Ideal For
Law Enforcement Agencies
Deployment
Cloud / On-premise / Hybrid
Integrations
None+ Apps
Security
Privacy-preserving architecture, no facial data storage, encrypted video processing, compliance-ready framework
API Access
Yes - Video archive integration and database query capabilities

About Walking Recognition

Walking Recognition is an advanced AI-powered video intelligence platform that leverages proprietary gait analysis algorithms to identify individuals from CCTV archives based on their unique walking patterns and gross motor coordination. Unlike traditional face recognition systems, this solution provides a privacy-centric approach to identity intelligence by analyzing behavioral biometric signatures inherent in human movement. The platform transforms unstructured video archives into a dynamic searchable fingerprint database, enabling security teams to locate and track persons of interest across camera networks. AiDOOS enhances deployment by providing scalable infrastructure for processing large CCTV archives, streamlines governance through privacy-compliant workflows, and enables rapid integration with existing security systems and video management platforms. The solution offers enterprise-grade accuracy while maintaining regulatory compliance and addressing privacy concerns associated with facial recognition technologies.

Challenges It Solves

  • Traditional face recognition fails when subjects wear masks, glasses, or avoid camera angles
  • Privacy regulations increasingly restrict facial data collection and storage in surveillance systems
  • Manual review of CCTV archives is time-consuming and inefficient for large-scale deployments
  • Organizations need reliable person identification that works across diverse lighting and image quality conditions
  • Lack of non-facial biometric alternatives for sensitive security applications

Proven Results

87
Identification accuracy maintained across masked faces
73
Reduction in manual video review time
91
Privacy compliance with data protection regulations

Key Features

Core capabilities at a glance

Gait Pattern Analysis

Proprietary algorithms for analyzing walking biomechanics

Identifies individuals with 87% accuracy independent of appearance

Multi-Camera Network Integration

Track persons of interest across distributed camera systems

Enable cross-location person tracking and movement pattern analysis

CCTV Archive Processing

Transform historical video into searchable intelligence database

Convert months of footage into actionable leads in hours

Real-Time Video Streaming

Live gait analysis on continuous video feeds

Instant alerts when recognized individuals enter monitored areas

Privacy-First Architecture

No facial recognition or biometric template storage

Full regulatory compliance without privacy trade-offs

Behavioral Intelligence Dashboard

Visual analytics and person timeline reconstruction

Comprehensive movement history and pattern discovery

Ready to implement Walking Recognition for your organization?

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Real-World Use Cases

See how organizations drive results

Law Enforcement Investigation
Locate suspects or missing persons by analyzing their unique walking patterns across city-wide CCTV networks. Investigators can query historical footage to establish timelines and identify movement patterns without relying on facial features.
87
Suspect identification accuracy maintained across conditions
Airport Security Operations
Monitor passenger movements through terminals and identify watchlist individuals based on gait signatures. The system maintains accuracy even when subjects wear hats, sunglasses, or baggy clothing.
79
Detection rate improvement for masked/disguised individuals
Retail Loss Prevention
Track repeat shoplifters and organized retail crime groups across multiple store locations. Identify known offenders without requiring facial recognition, enabling privacy-compliant monitoring.
73
Reduction in manual footage review requirements
Critical Infrastructure Protection
Monitor access to sensitive facilities by identifying authorized versus unauthorized personnel based on behavioral biometrics. Enhance security without storing facial data or biometric templates.
91
Privacy regulation compliance for security operations
Border Control and Immigration
Screen travelers at ports of entry by comparing walking patterns against watchlists. Provide secondary verification method alongside traditional document inspection.
82
Cross-reference accuracy for identity verification systems

Integrations

Seamlessly connect with your tech ecosystem

V

Video Management Systems (VMS)

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Native integration with major VMS platforms for direct video stream analysis and alert generation

C

CCTV Camera Networks

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Compatibility with IP-based and analog CCTV systems through standard video protocols

S

Security Operations Centers (SOC)

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API integration for automated alert routing and incident correlation within existing SOC workflows

C

Criminal Justice Information Systems

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Integration with law enforcement databases for watchlist comparison and person-of-interest flagging

A

Access Control Systems

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Connection to physical security systems for automated access restrictions based on gait recognition

D

Data Analytics Platforms

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Export of gait signatures and movement analytics to business intelligence and analytics tools

C

Cloud Storage Services

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Integration with enterprise cloud platforms for scalable video archive storage and processing

Implementation with AiDOOS

Outcome-based delivery with expert support

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning

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Alternatives & Comparisons

Find the right fit for your needs

Capability Walking Recognition Tika Data PSEUDO.AI Amplience
Customization Good Excellent Good Excellent
Ease of Use Good Good Excellent Good
Enterprise Features Excellent Excellent Good Excellent
Pricing Fair Good Fair Fair
Integration Ecosystem Good Excellent Good Excellent
Mobile Experience Fair Fair Fair Good
AI & Analytics Excellent Excellent Excellent Excellent
Quick Setup Good Good Excellent Fair

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Frequently Asked Questions

How does Walking Recognition differ from facial recognition?
Walking Recognition analyzes unique biomechanical patterns in how individuals move rather than facial features. This approach maintains accuracy across masks, glasses, and poor lighting while avoiding privacy concerns and regulatory restrictions associated with facial recognition systems.
What video quality is required for accurate gait analysis?
The system requires clear full-body visibility to analyze walking patterns. Standard CCTV resolution (720p minimum recommended) across most camera types provides reliable results. AiDOOS deployment services ensure optimal camera placement for maximum accuracy.
How long does it take to process historical CCTV archives?
Processing time scales with archive size and available compute resources. AiDOOS infrastructure typically analyzes weeks of multi-camera footage in 24-48 hours. Cloud deployment enables parallel processing for faster results on large-scale deployments.
Is the solution compliant with privacy regulations?
Yes. Walking Recognition avoids facial recognition restrictions and operates within GDPR, CCPA, and similar privacy frameworks. The system stores behavioral signatures rather than personal biometric identifiers, enabling compliant security operations.
Can the system identify people in crowds?
Walking Recognition performs best on individuals with clear full-body visibility. While crowd scenarios are challenging, the system can identify known subjects when they appear in less crowded segments or when they move through dedicated monitoring zones.
How does AiDOOS enhance Walking Recognition deployment?
AiDOOS provides managed cloud infrastructure for scalable video processing, handles integration with your VMS and security systems, manages compliance requirements, and optimizes performance across large CCTV networks without requiring dedicated IT resources.