Head-Mounted 4K EgoCAM Video
First-person 4K 60FPS video feeds captured from operator headmounts with 155° ultra-wide field of view and 6-axis IMU stabilization.
Quality & Precision Benchmarks
VIDEO RESOLUTION
4K Ultra-HD (3840x2160)
FRAME RATE
60 FPS Continuous
IMU STABILIZATION
6-Axis 200Hz Latch
PII ANONYMIZATION
100% Automated Face Blurring
Dataset Taxonomy & Output Structure
frame_index (4K 3840x2160 @ 60FPS)
imu_yaw_pitch_roll (200Hz Head Trajectory)
ptp_timestamp_ns (Nanosecond Clock Latch)
camera_fov_degrees (155° Lens Distortion Model)
Specific Type Tasks & Applications
- • VLA Foundation Model Pre-Training
- • Domestic Appliance Task Imitation
- • Industrial Equipment Maintenance Video Pre-Training
What Is Right vs What Is Wrong
| COMMON COMPETITOR ERRORS (WRONG) | BLUE PROJECTS GROUND TRUTH (RIGHT) |
|---|---|
| FAIL: Shaken 1080p video feeds causing camera motion blur | PASS: 6-axis IMU hardware stabilized 4K 60FPS ultra-wide video feeds |
| FAIL: Uncropped background PII violating GDPR privacy laws | PASS: 100% automated face and license plate biometric anonymization |
Files & Telemetry Data Example (Python)
import json
import numpy as np
# Load Blue Projects Egocentric Data Type: Head-Mounted 4K EgoCAM Video
with open("head-mounted-4k-egocam-video_sample.json", "r") as f:
data = json.load(f)
print("Loaded Frame Keys:", list(data.keys()))
Why Blue Projects for Head-Mounted 4K EgoCAM Video?
Request a free matched 10-sequence sample batch formatted to your exact VLA foundation model requirements.
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