StrideScan

Elevator Pitch: StrideScan leverages cutting-edge AI to turn grainy, almost unusable surveillance footage into a goldmine for gait analysis, opening new doors for law enforcement and healthcare diagnostics with unparalleled accuracy and privacy compliance.

Concept

An AI-powered surveillance improvement platform for accurate gait analysis

Objective

To provide law enforcement and healthcare professionals with enhanced tools for accurate gait analysis through improved surveillance footage quality.

Solution

StrideScan uses an advanced artifact correction model to pre-process and enhance surveillance footage, enabling better pose estimation and gait analysis without degrading the model’s performance on high-quality data.

Revenue Model

Subscription-based access to the platform for entities requiring surveillance analysis and a pay-per-analysis model for smaller-scale needs.

Target Market

Law enforcement agencies, healthcare providers for physical therapy and rehabilitation, sports training facilities, and security firms.

Expansion Plan

Initially focus on partnerships with law enforcement and healthcare institutions, followed by expansion into sports and personal security markets.

Potential Challenges

Data privacy concerns, high computational resource requirements, and ensuring the system’s adaptability to different camera qualities.

Customer Problem

Current gait analysis tools struggle with low-quality surveillance footage, leading to inaccurate assessments.

Regulatory and Ethical Issues

Compliance with GDPR and other privacy regulations, ethical use in surveillance without infringing on public privacy.

Disruptiveness

StrideScan’s ability to enhance low-quality footage for precise gait analysis could revolutionize surveillance analysis and health diagnostics.