Sports / Video
E-Track
Sports Performance & Video Analysis
Solving a complex sports video analysis challenge.
Role: Lead Flutter Developer
01
Overview
E-Track is a sports performance application that converts high-speed video into measurable performance insights for athletes and coaches.
02
Client Situation
The client required a sports performance application capable of converting high-speed video into meaningful performance insights—not a standard media player, but an analysis product.
03
Challenge
The application required advanced workflows: high-frame-rate video handling, processing, calibration, movement detection, and performance visualization—all inside a Flutter client.
04
My Approach
Instead of treating it as a standard video application, I designed the workflow around the complete analysis process—from capture through metrics and visualization.
05
Technical Decisions
- Modeled the product as an end-to-end analysis pipeline rather than isolated video screens.
- Separated capture/import, processing, calibration, and results so each stage could be validated independently.
- Balanced local data handling with upload/retry workflows for unreliable network conditions.
- Prioritized performance visualization that reflected calculated metrics, not decorative charts.
06
What I Built
- Video capture and import workflows
- High-frame-rate processing support
- Calibration flows
- Frame analysis and movement-related workflows
- Performance metric calculation surfaces
- Local data handling and upload/retry paths
- Sports performance visualization
07
Architecture
A Flutter analysis pipeline connecting video input to frame analysis, calibration, movement detection, metric calculation, and performance visualization—with local storage and cloud processing where needed.
- Video
- Frame Analysis
- Calibration
- Movement Detection
- Metric Calculation
- Performance Visualization
08
Technical Challenges
- Handling high-frame-rate video workflows inside Flutter without breaking the analysis UX.
- Building calibration and detection steps that users could complete reliably.
- Managing local data, uploads, and retries around heavy media operations.
09
Solution
I implemented specialized Flutter workflows for each stage of the analysis process, keeping media handling, calibration, and results presentation as connected but maintainable pieces.
10
Outcome
Created a specialized Flutter application capable of handling complex sports performance workflows from footage to insights.
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