---
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/)