Scene Catalog & Data Collection
Structured scene catalogs and real-time, scenario-based data collection for accurate, reliable system development.
Phoenix Third Eye Tech (PTE) provides structured, ethically-sourced datasets and specialized annotation that power AI model development and safety validation for OEMs, Tier 1 suppliers, and autonomous mobility firms worldwide.
We combine government-grade test infrastructure, global participant diversity, and rigorous compliance to give automotive AI teams data they can trust.
The first company to use a central government-run test track for structured automotive data acquisition.
5,000+ individuals from 20+ countries — infants to 75 years old — across ethnicities and driving behaviors.
Structured protocols aligned with Euro NCAP 2023–2026 DMS, UNECE GSR (Reg 2019/2144), ISO 26262, ISO 21448 (SOTIF), ISO 27001, and India DPDP / GDPR.
From scene catalog creation to structured data processing for seamless client integration.
We are a next-gen data company focused on the intersection of human behavior, AI, and real-world environments. By combining multi-sensor data capture with diverse participant representation, we help automotive and health-tech innovators build systems that genuinely understand people — across ages, cultures, and states of mind.
Learn About Our Data InfrastructureFrom requirement review to secure delivery, every engagement is designed for quality, reliability, and global compliance.
Structured scene catalogs and real-time, scenario-based data collection for accurate, reliable system development.
IR, RGB/NIR, EEG, heart-rate/skin-conductance, LiDAR and Radar sensors capture detailed behavioral and cognitive signals.
Human sensor data analysis, clinical-grade annotation, and integration with wearables and medical devices.
PTE leverages multiple sensor technologies to capture detailed insights into driver behavior and cognitive load.
Track eye movement, facial expressions, and signs of fatigue under varied lighting.
Monitor facial recognition, gaze direction, and driver distraction in real time.
Measure brain activity to assess cognitive workload and alertness.
Detect physiological responses to stress, fatigue, and distraction.
Provide spatial awareness and environmental context within and around the vehicle.
Every dataset ships with extensive metadata for deeper algorithmic insight.
We take pride in being the first company to conduct a structured data acquisition campaign at NATRAX (National Automotive Test Tracks) — a central government-run automotive proving ground in India. This landmark initiative established repeatable testing benchmarks for safety validation, multi-sensor calibration, and Euro NCAP compliance.
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1,200+ hours of track telemetry with 60GHz radar, 128-channel LiDAR, and RTK-GPS ground truth across 45+ dynamic edge cases.
5,000+ vetted participants across 20+ countries. 940nm NIR cameras + 8-channel EEG brainwave monitoring for Euro NCAP 2023–2026 DMS compliance.
Ethically approved, parent-accompanied data capture of infants and children under full occlusions for Euro NCAP CPD safety validation.
Review our sensor configurations, calibration tolerances, and ground-truth schemas to evaluate PTE datasets for your algorithm validation.
128-beam LiDAR specifications, 60GHz radar telemetry, RTK-GPS centimeter ground truth accuracy, and track surface specifications.
Sample 500-frame annotated video schema with 3D eye gaze vectors, PERCLOS fatigue scores, 68-point facial landmarks, and EEG signals.
Demographic distribution across 5,000+ individuals, age cohorts (6 mo to 75 yrs), IRB approvals, and India DPDP Act / GDPR adherence.
Common questions from automotive OEMs, Tier 1 suppliers, and AI validation teams.
Provide your technical specifications — whether track-based sensor fusion at NATRAX, a global in-cabin DMS fatigue campaign, or specialized annotation — and our engineering leads will respond within 24 hours.
Speak directly with our technical director in Mangalore: