Use cases · Sports & field operations
Movement and activity analysis from video
Count repetitions, score form or track activity from ordinary video, with results a coach or supervisor can check.
Where it starts
The trigger.
A recorded session or a camera feed.
How it runs today
- Someone watches footage and tallies by hand.
- Feedback is subjective and slow.
- Reviewing a whole session is impractical.
The workflow
Four bounded steps.
Each step has an owner and a stop rule.
- 01 / Capture
Consistent camera placement and lighting.
- 02 / Detect
Pose or objects are tracked frame by frame.
- 03 / Measure
Counts, angles and timings are computed.
- 04 / Review
Clips and scores are shown for a person to confirm.
Where people stay in control
Approval points.
- Scores are advisory; a coach or supervisor decides.
- Low-confidence frames are marked, not hidden.
How we would measure it
Against a baseline.
Measured before and after, on the same work.
Agreement with a human count.
Review time per session.
Sessions analysed per week.
Related
Go deeper.
Build the missing pieceCustom tools and applications for the gaps that matter.MediaPosePose estimation that counts reps, scores form and tracks athletes in video — squats, baseball throws and more.Image vs. video processingWhen a single frame is enough, and when you need motion, sequence and time.Analyze movement from ordinary videoA four-step playbook to set up consistent video capture, count repetitions or score movement automatically, and show clips and scores to a coach or supervisor who confirms the result.How to use computer vision for sports and movement videoHow can a club, coach or video team use computer vision to analyse footage and find key moments faster?
More use cases
Other places to start.
Sports & field operations
Field 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 workflow Sports & field operationsField scouting from phone and drone images
Turn the photos scouts and drones already capture into a map of possible problem areas, such as weeds, pests, disease or water stress, so agronomists can decide where to look first.
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: "Movement and activity analysis from video: AI Use Case"
description: "Count repetitions, score form or track activity from ordinary video, with results a coach or supervisor can check."
url: https://lidvizion.ai/use-cases/video-movement-analysis/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Use cases](https://lidvizion.ai/use-cases/) · Sports & field operations
# Movement and activity analysis from video
Count repetitions, score form or track activity from ordinary video, with results a coach or supervisor can check.
[Talk through this workflow](https://lidvizion.ai/contact/?need=milestone-delivery&from=%2Fuse-cases%2Fvideo-movement-analysis%2F#write) · [Build the missing piece](https://lidvizion.ai/services/custom-software/)
Where it starts
## The trigger.
A recorded session or a camera feed.
How it runs today
- Someone watches footage and tallies by hand.
- Feedback is subjective and slow.
- Reviewing a whole session is impractical.
The workflow
## Four bounded steps.
Each step has an owner and a stop rule.
1. 01 / Capture
Consistent camera placement and lighting.
2. 02 / Detect
Pose or objects are tracked frame by frame.
3. 03 / Measure
Counts, angles and timings are computed.
4. 04 / Review
Clips and scores are shown for a person to confirm.
Where people stay in control
## Approval points.
- Scores are advisory; a coach or supervisor decides.
- Low-confidence frames are marked, not hidden.
How we would measure it
## Against a baseline.
Measured before and after, on the same work.
### Agreement with a human count.
### Review time per session.
### Sessions analysed per week.
Related
## Go deeper.
- [Build the missing piece](https://lidvizion.ai/services/custom-software/): Custom tools and applications for the gaps that matter.
- [MediaPose](https://lidvizion.ai/work/#mediapose): Pose estimation that counts reps, scores form and tracks athletes in video — squats, baseball throws and more.
- [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.
- [Analyze movement from ordinary video](https://lidvizion.ai/guides/analyze-movement-from-ordinary-video/): A four-step playbook to set up consistent video capture, count repetitions or score movement automatically, and show clips and scores to a coach or supervisor who confirms the result.
- [How to use computer vision for sports and movement video](https://lidvizion.ai/answers/how-to-use-computer-vision-for-sports-video/): How can a club, coach or video team use computer vision to analyse footage and find key moments faster?
More use cases
## Other places to start.
[All use cases](https://lidvizion.ai/use-cases/)
- [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.
- [Field scouting from phone and drone images](https://lidvizion.ai/use-cases/field-scouting-from-images/): Sports & field operations Turn the photos scouts and drones already capture into a map of possible problem areas, such as weeds, pests, disease or water stress, so agronomists can decide where to look first.
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/)