What Video Recordings to Prepare for a Computer Vision Project
A project assessment needs original recordings showing the operation and its context. Include normal work, relevant deviations and difficult situations. Dataset size and duration depend on the scenarios.
Start by explaining the process
For each recording, state the area, camera and target event. Explain normal operation and why a particular episode needs attention. Procedures or equipment layouts help establish the action's meaning.
Mark several episodes manually, such as an operator approaching scales, placing a container and completing the operation. These timestamps help check whether everyone understands the task consistently.
Preserve source quality
Small objects and brief actions need image detail. Camera or recorder exports are preferable because filming a monitor adds distortion. Retain resolution, frame rate and export details where available.
Even a short example can support an initial discussion. We can then identify recordings needed for proper validation.
Add difficult situations
Choose clips with occlusion, several people, lighting changes and unusual object placement. Also include normal actions resembling the target, such as passing scales versus weighing.
Collect rare deviations separately with explanations. If examples are scarce, discuss additional data preparation and validation limits. Recording scenarios must be agreed with process owners.
Sharing material
Define access, an agreed transfer channel and retention period. For the initial review, select only task-relevant recordings. If the project must remain on-premise, preparation and annotation can be organized inside that environment.
Busted uses initial material to map observable features and identify missing examples. This supports scope estimates and validation on your site's data.