> For the complete documentation index, see [llms.txt](https://docs.augelab.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.augelab.com/introduction/use-cases.md).

# Use Cases

AugeLab Studio fits workflows where images need to become decisions, measurements, records, or hardware actions. These examples show common starting points.

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<summary>Manufacturing and Quality Control</summary>

Inspect parts for scratches, cracks, missing components, wrong orientation, or assembly errors. Measure dimensions with sub-pixel tools and send pass/fail results to operators, PLCs, databases, or reports.

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<summary>Automotive</summary>

Check paint finish, part alignment, labels, welds, connectors, and final assembly state. Vision workflows can also support test rigs and safety research such as lane, obstacle, or fatigue detection.

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<summary>Safety and Workplace Monitoring</summary>

Detect missing PPE, restricted-zone entry, unsafe machine access, falls, or long immobility. Connect results to lights, alarms, PLC signals, dashboards, or messages.

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<summary>Robotics and Logistics</summary>

Locate objects for pick-and-place, sorting, welding, packing, and routing. Read barcodes, classify packages, and trigger lane or conveyor actions from the same scenario.

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<summary>Healthcare and Research</summary>

Support controlled research workflows such as counting cells, analyzing microscope images, measuring structures, or highlighting areas of interest. Clinical use requires validation under the user's own regulatory process.

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<summary>Agriculture</summary>

Use camera and drone images to inspect crop health, detect disease patterns, estimate counts, or monitor livestock movement and behavior.

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<summary>Security and Retail</summary>

Monitor access, crowd density, shelf state, missing products, queue length, or unusual activity. Results can trigger alerts, logs, reports, or restock actions.

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These are examples, not limits. If the task can be described as visual input, decision logic, and an output action, it can usually be prototyped in AugeLab Studio.