OPERATIONAL COHORT GUARANTEE
2,000+ Pre-Screened Indian Participant Database
All data for In-Cabin Driver Monitoring System (DMS) & Occupant Safety is collected from our pre-screened cohort pool of 2,000+ Indian participants (ages 20–50, configurable 80:20 M/F ratio). Experiments are staged either using your proprietary hardware/software rigs OR via turnkey Blue Projects sensor staging under strict DPDP Act (India 2023) and EU GDPR compliance.
Technical Specifications & Rigor
In-Cabin Sensor Rigs
Near-Infrared (NIR) 940nm + RGB Wide-FOV Cameras
DMS Event Taxonomy
Micro-sleep, Yawning, Phone Use, Hands-Off-Wheel
Lighting Conditions
Direct Sunlight Glare, Night NIR, Dynamic Shadows
Vehicle Telemetry Sync
CAN Bus Speed, Steering Angle & Brake Sync
Safety Standards
Euro NCAP DMS Protocol & US NHTSA Compliant
Data Packaging
Raw NIR Video, Bounding Masks, CAN Bus Logs
PyTorch Telemetry & Data Schema Loader
Python 3.10+# PyTorch In-Cabin Driver Monitoring System (DMS) Dataset Loader
import torch
class InCabinDMSDataset(torch.utils.data.Dataset):
def __init__(self, nir_video_path):
pass
def __getitem__(self, idx):
return {
"nir_frame": torch.zeros((3, 1080, 1920)),
"drowsiness_label": "micro_sleep_event",
"gaze_target": "center_console",
"hands_on_wheel": False
}⚖️ Statutory Legal & Ethics Compliance Safeguards
DPDP & GDPR Statutory Compliance
Full adherence to India DPDP Act (2023) & EU GDPR Art 6/9 with biometric informed consent protocols.
Subject Rights & Anonymization
Automated face/voice/PHI blurring, subject identity encryption, and post-session withdrawal rights.
Model Weight Protection Clause
Statutory legal guarantee ensuring trained AI model weights are 100% immune from subject data deletion claims once anonymized.
ENTERPRISE COHORT INTAKE
Request a Human Cohort & Lab Consultation
Specify your cohort size, demographic preferences, and hardware staging requirements. Our engineering team responds within 24 hours.