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Eye Tracking

GazeSense

Real-time 3D eye tracking without wearables, powered by affordable depth-sensing cameras

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Category
Software
Ideal For
Research Institutions
Deployment
On-premise / Cloud
Integrations
None+ Apps
Security
Data encryption, user access controls, compliance-ready architecture
API Access
Yes, for custom integrations and data export

About GazeSense

GazeSense is an advanced 3D eye tracking software that eliminates the friction of traditional gaze-tracking systems by eliminating wearable dependencies. Using affordable, off-the-shelf depth-sensing cameras, it captures precise gaze behavior in real-time across three dimensions, enabling organizations to understand visual attention patterns with unprecedented accuracy. The platform serves research scientists, UX designers, training specialists, and market researchers who need reliable behavioral data without cumbersome hardware constraints. GazeSense transforms raw gaze data into actionable insights through automated coding, visualization, and analytics capabilities. When deployed via AiDOOS, organizations benefit from streamlined implementation, managed infrastructure, expert governance support, and seamless integration with existing research workflows—reducing time-to-insight and enabling scalable, enterprise-grade eye tracking across multiple studies and locations simultaneously.

Challenges It Solves

  • Traditional eye-tracking systems require expensive wearable devices, limiting scalability and participant comfort
  • Manual gaze coding consumes hours of analyst time, delaying research insights and increasing costs
  • Existing solutions lack 3D spatial tracking, providing incomplete behavioral data for complex environments
  • Integration with research workflows and data pipelines requires custom development and ongoing support
  • Hardware constraints prevent large-scale deployment across multiple research sites and participant groups

Proven Results

87
Reduction in gaze data collection time versus manual coding methods
64
Lower hardware costs using consumer-grade depth cameras versus specialized trackers
72
Increase in research participant comfort and compliance without wearable devices

Key Features

Core capabilities at a glance

Real-Time 3D Gaze Tracking

Capture precise visual attention without wearables

Sub-degree accuracy at 120+ FPS using standard cameras

Automated Gaze Coding

Transform raw data into structured insights instantly

87% faster analysis versus manual coding methods

Multi-Participant Synchronized Tracking

Track multiple subjects simultaneously in shared environments

Scale studies across participant groups without hardware multiplication

Advanced Heat Maps & Visualizations

Visualize attention patterns across scenes and stimuli

Identify focus areas in 3D space with spatial context

API-Driven Data Export

Integrate seamlessly with research platforms and analytics tools

Enable custom workflows and third-party tool integration

Customizable Calibration Protocols

Optimize tracking for diverse environments and user populations

Achieve high accuracy across age groups, lighting, and spatial setups

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Real-World Use Cases

See how organizations drive results

UX/Usability Testing
Understand user interaction patterns and attention flow on digital interfaces and physical products. Identify usability friction points through visual attention mapping.
78
Improved design decisions based on gaze-validated user behavior
Clinical & Cognitive Research
Study attention deficits, visual processing disorders, and cognitive load in clinical populations. Enable non-invasive, longitudinal research without participant burden.
82
Enhanced diagnostic accuracy through objective gaze metrics
Pilot Training & Simulation
Monitor visual attention in high-fidelity flight simulators to optimize pilot training curricula. Measure workload and situational awareness development.
71
Reduced training time through attention-optimized instruction
Market Research & Advertising
Evaluate consumer attention to packaging, advertisements, and point-of-sale displays. Quantify emotional engagement and visual hierarchy effectiveness.
68
Higher ROI on creative assets through validated attention insights
Sports Performance Analysis
Analyze athlete gaze patterns during competition to identify attention strategies correlating with performance. Guide coaching interventions for visual skill development.
74
Measurable improvement in athlete decision-making speed

Integrations

Seamlessly connect with your tech ecosystem

M

MATLAB / Octave

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Export gaze data for advanced statistical analysis and custom signal processing workflows

P

Python (via API)

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Build custom analysis pipelines and machine learning models on gaze datasets

T

Tobii Studio Legacy Format

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Import/export compatibility for researchers transitioning from existing eye-tracking platforms

P

PsychoPy

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Synchronize GazeSense with experimental stimuli delivery for behavioral neuroscience studies

E

E-Prime

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Integrate gaze triggers and real-time attention metrics within experimental protocols

U

Unity 3D Engine

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Enable gaze-responsive interactive environments and VR-compatible eye tracking

S

SQL/NoSQL Databases

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Direct data streaming for large-scale longitudinal study data warehousing

T

Tableau / Power BI

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Real-time dashboard creation for gaze analytics and multi-study comparison reporting

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 GazeSense Deepgram Typebot meinGPT
Customization Excellent Excellent Excellent Good
Ease of Use Good Excellent Excellent Good
Enterprise Features Good Excellent Good Excellent
Pricing Good Good Good Fair
Integration Ecosystem Good Excellent Excellent Good
Mobile Experience Fair Good Good Fair
AI & Analytics Excellent Excellent Good Excellent
Quick Setup Good Excellent Excellent Good

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Frequently Asked Questions

What cameras does GazeSense support?
GazeSense works with Intel RealSense, Azure Kinect, and other affordable depth-sensing cameras. It does not require specialized eye-tracking hardware, significantly reducing equipment costs. AiDOOS ensures compatible hardware is provisioned and maintained across deployments.
Can GazeSense track gaze in 3D space, not just on-screen?
Yes. Unlike traditional screen-based eye trackers, GazeSense captures full 3D gaze vectors in real-world environments—enabling studies in VR, classrooms, cockpits, and natural settings. This spatial capability is unique among consumer-grade solutions.
How long does calibration take?
Standard calibration takes 2-5 minutes per participant using customizable point-collection protocols. GazeSense auto-detects optimal calibration points based on participant demographics and environment, minimizing setup friction.
How does AiDOOS enhance GazeSense deployment?
AiDOOS manages infrastructure provisioning, software licensing, system monitoring, and integration workflows. Organizations avoid on-premise hardware management, IT overhead, and vendor lock-in while gaining expert governance, compliance support, and seamless scaling across sites and studies.
Is GazeSense HIPAA or research-compliant?
GazeSense includes compliance-ready architecture: encryption, audit logging, participant consent tools, and de-identification features. AiDOOS provides additional governance frameworks and documentation to support HIPAA, GDPR, and IRB compliance requirements.
Can multiple studies run simultaneously on one deployment?
Yes. GazeSense supports multi-tenant research environments with isolated data storage, user permissions, and concurrent data collection. AiDOOS automatically scales compute resources to maintain performance across simultaneous studies.