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PRACTICAL RESOURCE

First-person video capture checklist for an AI data pilot

Plan a controlled task, source views, timing, permission records and a reviewable outcome before recording a larger first-person AI dataset.

By Fiund · Updated 2026-11-05

Define what the camera must establish

Start with a task your team is authorized to demonstrate in a controlled setting. Write the starting state, visible action and result a reviewer should be able to confirm. A clear task is more useful than a long recording whose purpose and outcome are uncertain.

For an original pilot, place two inert practice objects beside a marked tray. The instruction asks for object A. Record a take where its identifier, selection and final placement are visible. Add a second take where the identifier is hidden. A reviewer can confirm the first task under the supplied instruction and identify the missing evidence in the second. The exercise involves no live work or operating equipment.

Choose views and timing for that task

A first-person view can show what the operator sees while a fixed view can preserve an action hidden by the operator’s hand. Identify which view supports each proposed label. Multiple views of one activity remain linked streams; count the underlying activity separately from accumulated camera time.

Agree resolution, frame rate, timing, synchronization and any sensor requirements with the buyer. Record the actual setup and missing intervals. Ordinary RGB footage does not automatically supply calibrated depth, robot state or control actions. Research examples such as Ego-Exo4D and FineART provide context for task and view design, rather than a purchasing specification for every project.

Use a short test before a batch

Review one permitted take at normal speed and at the action boundaries. Can the reviewer identify the right object, the action start and the visible result? Does another view have a reliable time relationship? Does any screen, reflection or incidental sound contain material outside the task?

Keep a take with an unresolved endpoint as an explicit review case. Label the observable facts and request the missing evidence. Do not replace a hidden result with the intended outcome. Record whether labels are operator-entered, model-estimated or independently checked.

Connect media and permission records

Use one task and attempt identifier across original files, processed versions, labels and permission references. Preserve the original media and the transformation history. A clean exported clip still needs authority for the people, location and embedded material it contains.

Agree the employer or site permission, participant process, included areas and exclusions before recording. Keep customer sites, live electrical work, access details, confidential displays and protected source material outside an initial practice demonstration. Any real task has its own safety and authorization process; camera placement must fit that process.

Describe the accepted unit before committing time

Ask whether the engagement compensates recorded time, accepted activity, completed tasks or another defined unit. Clarify repeated attempts, simultaneous cameras, excluded segments, rework and rejected files. A published program invitation does not establish a paid assignment or a universal rate.

Use the worksheet to record the task, evidence, setup, permissions and review result. Describe a collection capability to Fiund before expanding capture. A confirmed specification, accepted source package, completed delivery and payment are separate outcomes.

Primary sources and further reading