---
title: "Sponsor exposure reports from footage: AI Use Case"
description: "Find where sponsor logos and boards appear in game or event footage and draft an exposure report with example clips, so the partnerships team reviews a report instead of logging screen time by hand."
url: https://lidvizion.ai/use-cases/sponsor-exposure-reports-from-footage/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Sports & field operations

# Sponsor exposure reports from footage

Find where sponsor logos and boards appear in game or event footage and draft an exposure report with example clips, so the partnerships team reviews a report instead of logging screen time by hand.

[Talk through this workflow](https://lidvizion.ai/contact/?need=milestone-delivery&from=%2Fuse-cases%2Fsponsor-exposure-reports-from-footage%2F#write) · [Build the missing piece](https://lidvizion.ai/services/custom-software/)

Where it starts

## The trigger.

Footage from a game, broadcast or event is ready after the session.

How it runs today

- Staff log sponsor appearances by hand while scrubbing through footage.
- Reports arrive late and vary with whoever compiled them.
- Sponsors ask for examples that are hard to find again.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Ingest
   Read approved footage and the list of sponsor marks and placements for that event.
2. 02 / Detect
   Find where each agreed sponsor mark is visible and note the time and placement.
3. 03 / Draft
   Draft an exposure summary per sponsor with example clips, using the format the team agreed.
4. 04 / Review
   A partnerships lead checks the detections and edits the report before it goes to any sponsor.

Where people stay in control

## Approval points.

- A partnerships lead approves every report before it is shared with a sponsor.
- Only footage the organisation has the rights to use is processed.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Time from final whistle to approved sponsor report.

### Share of detections accepted without correction.

### Hours of manual logging replaced per event.

Related

## Go deeper.

- [Build the missing piece](https://lidvizion.ai/services/custom-software/): Custom tools and applications for the gaps that matter.
- [Image vs. video processing](https://lidvizion.ai/resources/basics/image-vs-video-processing/): When a single frame is enough, and when you need motion, sequence and time.
- [Report sponsor exposure from footage](https://lidvizion.ai/guides/report-sponsor-exposure-from-footage/): A four-step playbook to agree the sponsor marks to find, detect them in approved footage, have a partnerships lead review the draft and deliver consistent reports sooner.
- [How to measure sponsor exposure with computer vision](https://lidvizion.ai/answers/how-to-measure-sponsor-exposure-with-computer-vision/): How can a team, venue or event organizer use computer vision to report where sponsor logos appeared in footage without logging screen time by hand?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Movement and activity analysis from video](https://lidvizion.ai/use-cases/video-movement-analysis/): Sports & field operations Count repetitions, score form or track activity from ordinary video, with results a coach or supervisor can check.
- [Field inspection photo reports](https://lidvizion.ai/use-cases/field-inspection-photo-reports/): Sports & field operations Turn the photos and notes field crews capture on site into an organized inspection report, with possible issues flagged for a qualified person to confirm.
- [Venue occupancy and crowd flow](https://lidvizion.ai/use-cases/venue-occupancy-and-crowd-flow/): Sports & field operations Count people entering, leaving and gathering in areas of a venue from existing cameras, without identifying anyone, so staff can open gates, move people and plan staffing.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)