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.
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.
- 01 / Ingest
Read approved footage and the list of sponsor marks and placements for that event.
- 02 / Detect
Find where each agreed sponsor mark is visible and note the time and placement.
- 03 / Draft
Draft an exposure summary per sponsor with example clips, using the format the team agreed.
- 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.
More use cases
Other places to start.
Movement and activity analysis from video
Count repetitions, score form or track activity from ordinary video, with results a coach or supervisor can check.
See the workflow Sports & field operationsField inspection photo reports
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.
See the workflow Sports & field operationsVenue occupancy and crowd flow
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.
See the workflowAn 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.
---
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/)