D455相机数据采集工具v1.0.0

Collect RGB-D data of boxes in bins for training deep learning models that detect and locate objects for robotic bin picking. The tool supports manual and automatic capture modes to gather diverse poses and angles, ensuring robust model training.

Generate a dataset of color and depth images along with camera intrinsics for training computer vision models like object detection, segmentation, or 3D reconstruction. The structured output format simplifies integration into ML pipelines.

Capture calibration images from multiple views to compute intrinsic parameters of the D455 camera. The raw depth and color data, combined with known calibration patterns, enable accurate camera calibration for vision systems.

Systematically collect point cloud data of box environments for research in 3D perception, manipulation, or scene understanding. The tool's automatic mode allows unattended collection of multiple samples over time.

Sell a perpetual license for the data collection tool to companies needing custom dataset creation for their vision systems. Includes basic support and updates.

Offer a monthly subscription for access to the tool plus cloud storage and basic analytics of collected datasets. Suitable for startups or research labs with ongoing data needs.

Provide end-to-end service for collecting, processing, and delivering annotated datasets using the tool. Clients specify object types, quantities, and conditions.