Egocentric Glass Manufacturing Data

Egocentric glass manufacturing data is real-world, first-person video of a person doing the work the catalog row describes: handling molten or sheet glass, then cutting, forming and finishing pieces with tongs, cutters and grinders. It is recorded from the operator viewpoint, with depth, 3D hand pose, contact events and frame-accurate action segments aligned on one hardware clock.

Glass manufacturing robot training data needs the order of the steps as well as the grasp, because a piece is handled, then cut, formed and finished. The row is rated Hard, and the site states no plant, process, temperature or certification detail for it, so this page says only what the row says.

The site lists one row: Glass manufacturing, in the Heavy Industry & Fabrication environment, described as handling molten or sheet glass and cutting, forming and finishing pieces with tongs, cutters and grinders. It is rated Hard and listed as Available on request, with a head-mounted phone or multiview rig as the capture mode.

The environment names glass manufacturing beside metal fabrication, woodworking, a concrete plant and a welding workshop as examples. A glass plant video dataset here means footage recorded to your spec for that one row. Tasks outside the list can be added to a spec.

Handling is stated: the row opens with handling molten or sheet glass. Inspection is not named on the row. If your policy needs egocentric glass handling and inspection data, say so in the written spec; it is scoped as an added task, with its own accept criteria, rather than assumed.

The site does not state glass types, thicknesses, piece sizes, defect classes or how a recording handles transparent or reflective surfaces. Those are agreed in the spec and checked on a Spec Pilot.

The glass and mosaic page covers craft studio rows: glassblowing, stained glass, mosaic tiling and glass etching. This page covers the one row in the heavy industry environment. The welding page covers working and joining metal, and the heavy machinery page covers working the levers and control panels of presses, cranes or machinery from the operator station.

The manufacturing workflow page covers production and assembly procedures. The table below sets the pages side by side.

A head-mounted phone records the first-person view of real work on site, and a multiview rig adds synchronized third-person angles when the spec asks for them. A wrist-mounted camera is available alongside the head camera for close-range detail. A stereo head rig is also offered where depth from a calibrated pair matters; the MCAP hub page describes it.

The site does not state a camera count, resolution or frame rate for glass manufacturing, the number of workers per site, or the location of the capture. Environment, access and schedule are agreed in the spec, and the site names no plant, brand or worker.

Each episode follows the Firsthand episode schema: ten streams synced under 2 ms, with head and wrist RGB, depth, 3D hand pose with per-joint visibility, contact and grasp events, and frame-accurate action segments. Hand pose tracks the grip on a piece or tool, contact events mark when fingers meet glass or a tool, and action segments mark each step.

Object labels use the terms your spec sets. Glass types, furnace or equipment models, force or tactile data and a task-completion label are Not stated. They are defined in the spec if your policy needs them, and no safety, protective equipment, temperature or compliance claim is made.

Delivery formats are RLDS, LeRobot and WebDataset, plus HDF5, zarr and Rerun .rrd, and MCAP is offered for stereo capture. The format table below sets each against what its official documentation states. The episode schema is the same as every other Firsthand collection, so a loader that reads another Firsthand dataset reads this one without changes.

Every batch is validated against signed accept criteria before it ships, with a reject log, and delivery is rolling, per validated batch.

Every episode links to a signed contributor release through a documented consent chain, and the consent record is part of the delivery. Faces, plates and screens are detected and irreversibly blurred at ingest, and a reviewer confirms the result before anything ships. The anonymization record is delivered with the data.

The site does not state a separate rule for other text in a plant, such as labels or machine displays, so this page does not claim it is blurred. Raise it in the spec if it matters.

Where coverage is already deep, the first validated batch lands in a median of 48 hours from signed spec. Thin environments typically take three to four weeks, because vetting operators there is the bottleneck. Because the glass row is Available on request, recruitment comes first and the timeline is quoted against your spec before capture begins.

Custom heavy-industry data collection runs as custom collection at scale through a network of thousands of capture providers, for a consistent, recurring data flow to labs. On-demand top-ups run against the same spec and accept criteria after each training run. The site does not state a batch size or later-batch turnaround, so those are quoted against your spec.

You describe the glass work, tools and sequence your policy needs. We turn that into a written spec covering tasks, environments, capture tier, annotation depth and accept criteria, then quote reach, timeline and price before any capture begins.

A Spec Pilot, a small and fast first batch, can prove the spec and accept criteria before you scale. Billing is per validated hour, a reject log ships with every batch, rejected items are recaptured at our cost, and every collection ships under a perpetual, buyer-owned commercial license.