Walking Recognition · 0 reviews

Walking Recognition

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

Artificial Neural Network Software

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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

Identification accuracy maintained across masked faces

Reduction in manual video review time

Privacy compliance with data protection regulations

Use Cases

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

Pricing

Pricing available on request

Walking Recognition pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

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Key Features

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

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Enterprise Readiness

No Facial Data Storage

Encrypted Video Processing

Role-Based Access Control

Audit Logging

Data Retention Policies

Integrations

7 total apps

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

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

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

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

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

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

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

AiDOOS Managed Deployment

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AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

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Deployments

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Adoption rate

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Time to value

Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Walking Recognition

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit

Get a delivery plan for Walking Recognition What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers Walking Recognition

Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

Discover

Requirements & assessment

Integrate

Setup & data migration

Validate

Testing & security audit

Rollout

Deployment & training

Optimize

Performance tuning

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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.