Hampo officially launches the Ego‑Camera, a head‑mounted binocular dual‑lens camera purpose‑built for embodied AI and robot‑learning data acquisition.
Capturing authentic human first‑person perspective, this unit integrates an on‑board IMU with hardware‑level synchronization to deliver high‑precision timestamped visual‑inertial fused data. It enables robotics R&D teams to easily gather real‑world manipulation data and generate reproducible multimodal datasets for embodied AI model training
Industry Background
The performance ceiling of embodied AI robots heavily relies on the quality and scale of training datasets. Industry consensus confirms egocentric first‑person data delivers the most practical training material, matching the actual viewpoint robots use in deployment.
Researchers wear the lightweight head‑mounted camera and perform natural grasping, assembly and manipulation tasks within ordinary real‑world environments. AI models learn manipulation skills, action sequences and spatial relationships directly from human‑perspective recordings. Complex robot operation workflows and costly custom data‑collection setups can be largely avoided.
High‑quality robot training requires far more than clear images. Reliable vision‑inertial time alignment, frame‑accurate timestamps and ready‑to‑use calibration datasets determine whether raw recordings can be directly applied for VIO‑SLAM, teleoperation and imitation learning. The Hampo Ego‑Camera is engineered specifically to solve these critical industry pain points.
Key Specifications
| Parameter | Specification |
|---|---|
| Sensor | Dual 2MP Color Global Shutter CMOS (1/2.6″) |
| Output Resolution | 3840×1080P @30fps Binocular Panoramic |
| Dynamic Range | 61.56dB Linear / 91.56dB HDR |
| Field of View | Dual 125° Ultra‑Wide, Low‑Distortion |
| Lens | M12×P0.5 Fixed Focus |
| Binocular Function | Dual‑camera sync, ranging & calibration; supports depth detection and 3D reconstruction |
| IMU | On‑board IMU, hardware synchronized with image frames |
| Timestamp | Frame‑level timestamp for replayable, reproducible data |
| Calibration | Factory pre‑calibrated, calibration data included upon delivery |
| Interface | USB 2.0, UVC plug‑and‑play, no extra driver needed |
| OS Compatibility | Windows 7/8/10/11, Linux |
| Form Factor | Compact lightweight head‑mounted egocentric design |
Core Product Highlights
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1Global Shutter Sensors | Eliminate Motion Blur & Jelly EffectDual 2MP high‑sensitivity global shutter CMOS sensors expose full frames simultaneously. Rolling‑shutter‑caused jelly artifacts and motion blur are suppressed during fast‑motion scenarios including grasping, assembly and walking. Every frame stays sharp, supplying stable visual input for action recognition and robot imitation‑learning research.
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2On‑board IMU with Hardware‑Level SynchronizationImages and IMU measurements are hardware‑triggered for strict time alignment. Critical for VIO‑SLAM, teleoperation and robot data collection. No tedious software‑based time correction required; IMU readings can be directly fed into research algorithms.
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3Frame‑Level High‑Precision Timestamps for Reproducible DatasetsEach image frame and IMU sample carries precise timestamps. Supports accurate playback and multi‑sensor cross‑alignment, a fundamental requirement for imitation learning, behavior analysis and multi‑modal sensor fusion.
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4Factory Pre‑calibrated, Ready‑to‑Use Calibration DataIntrinsic and extrinsic parameters are calibrated in‑factory. Calibration files ship together with the hardware. Users can start data capture right out‑of‑the‑box, skipping manual calibration work and shortening system setup cycles.
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5125° Low‑Distortion Binocular FOV, Depth Perception & 91.56dB HDR125° ultra‑wide low‑distortion lenses fully capture hand motions and surrounding scenes. Native binocular support enables ranging, depth output and 3D reconstruction. 91.56dB high dynamic range maintains well‑balanced exposure under backlight and indoor‑outdoor light transitions.
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6USB2.0 UVC Plug‑and‑PlayStandard UVC protocol over USB 2.0 works natively on Windows and Linux without driver installation. R&D teams focus on dataset collection instead of complex device debugging.
Typical Applications
- Embodied‑AI Data Collection: Timestamped egocentric video + IMU inertial data for robot imitation learning and manipulation‑skill training
- Visual‑Inertial SLAM & Spatial Localization: Hardware‑synced vision and IMU for VIO‑SLAM algorithm development and benchmarking
- Teleoperation & Telepresence: Immersive real‑time first‑person view for remote control and human‑robot collaboration
- VR / AR Content Capture: Egocentric 3D imagery and spatial data recording
- Action Recognition & Behavior Research: Digitize industrial workflows, human‑factor studies, sports and motion analysis
- Embedded Vision Projects: Facial recognition, liveness detection, access control and other vision‑based integration
Closing
Data is the core fuel for the embodied‑AI era, and egocentric perspective represents one of the most practical paths toward capable general‑purpose robots.
Featuring global‑shutter binocular vision, integrated IMU, hardware synchronization and frame‑level timestamps, the Hampo Ego‑Camera empowers robotics researchers to acquire high‑quality repeatable visual‑inertial egocentric data with minimal deployment overhead — helping projects move from visual observation to real‑world understand
Post time: Aug-14-2026
