Capturing daily life interactions and household chore management. Data includes kitchenware washing, floor cleaning, laundry sorting & folding, refrigerator organizing, countertop wiping, food heating, and plant care.

Focusing on warehouse operations and logistics workflows. Data includes item picking, barcode scanning, sorting & boxing, parcel sealing, and palletizing.

Centered on clinical nursing and assistive medical tasks. Data includes medical instrument transfer and usage, patient posture adjustment, and specimen collection & processing.

Focusing on retail store inventory management and shelf maintenance. Data includes product restocking, shelf alignment, heavy lifting & stacking, and item sorting.

Focusing on room preparation, deep cleaning, and guest amenity management. Data includes bed making & linen changing, bathroom sanitizing, towel folding & restocking, trash disposal, floor vacuuming, and minibar replenishment.

Centered on office environment maintenance, desk organization, and daily administrative support tasks. Data includes desk decluttering & wiping, whiteboard cleaning, trash sorting, document shredding & filing, printer paper reloading, and pantry coffee station maintenance.

Tailored for Embodied AI training, we provide FPV egocentric multimodal data collection services covering complex environments, professional tasks, and real-world workflows:

• First-Person Human Demonstrations: High-fidelity FPV data captured from real human operators.

• Large-Scale & High-Difficulty Capture: Scalable data collection covering highly complex and professional manipulation tasks.

• Precision Multimodal Alignment: Synchronized capture of video, IMU, and spatial data with microsecond-level temporal alignment.

Designed specifically for embodied intelligent autonomous perception and decision-making, it collects first-person perspective data closely resembling human behavior patterns:

• Supports SLAM trajectory calculation, outputting accurate spatial positioning data

• Focuses on fine hand movements, recording operational details such as grasping, placing, and assembling

• Covers spatial layout and object interaction data in scenarios such as home, office, and industry

• Adapts to the perception and decision-making training needs of humanoid robots, mobile robots, and industrial robots

Supports simultaneous acquisition of multimodal data across all dimensions, ensuring precise temporal alignment:

• Color Video: 4K lossless binocular video, recording complete visual information

• IMU Sensor Data: Raw data from accelerometers and gyroscopes, including independent timestamps

• Ego Pose: Coordinate and quaternion pose information, recording spatial motion trajectory

• Calibration Parameters: Complete calibration data including resolution, camera intrinsic/extrinsic parameters, vignetting coefficient, etc.

Meeting the demand for high-quality multimodal data processing, we provide end-to-end annotation services from raw preprocessing to fine-grained labeling:

• Advanced Preprocessing: Face/privacy blurring, camera distortion correction, and 3D point cloud reconstruction.

• AI + Human-in-the-Loop: A dual-assurance mechanism combining AI pre-labeling with meticulous manual verification.

• Specialized Annotations: High-precision tracking of skeletal keypoints, 3D hand poses, and action semantic segmentation.

We have independently built a full-chain data management platform to achieve integrated closed-loop management from data acquisition, cleaning, slicing to annotation:

• Collection: Connects to our self-developed Ego collection device for multimodal raw data capture.

• Cleaning: Quality screening, noise reduction, and temporal alignment to remove low-quality samples.

• Slicing: Slices task segments according to training requirements.

• Annotation: AI + human collaboration supports specialized annotation of skeletal points, 3D poses, and behavioral semantics.

Providing standardized, scenario-rich, and ready-to-use egocentric datasets optimized for training Embodied VLA and World Models:

• 1,000+ Hours of Real-World Data: An established, deliverable dataset spanning diverse real-world scenarios.

• Rich Multimodal Modalities: Datasets containing synchronized RGB video, high-frequency IMU data, and 3D hand poses.

• Seamless Integration: Fully compatible with mainstream model training frameworks and data formats.

Quantity

Based on your model training objectives, we evaluate the required data modalities, scenario complexity, and annotation specifications to deliver a structured collection scheme and detailed schedule.

We deploy our proprietary Ego-FPV wearable devices to capture synchronized RGB, IMU, and pose data. The system supports offline one-touch recording and online remote monitoring. Operators execute tasks based on standardized task cards to ensure consistency and balanced scenario coverage.

Raw data undergoes quality filtering, denoising, and temporal alignment. We perform precise action segmentation, object detection, and semantic labeling, followed by multi-round QA to output high-standard training data.

We deliver standardized, high-quality datasets supporting mainstream formats (including .mp4, .avi, .csv, .json, .pcd, .ply) accompanied by comprehensive documentation—completely ready for your training pipeline.