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EURUS CASE STUDY

AI Training & Monitoring System Development - HighQfitness

Client Overview

HighQfitness

HighQFitness is a fitness technology company building an AI-driven platform to track workouts, monitor performance, and provide automated guidance for athletes. They aim to offer subscription-based AI coaching to end users.

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Problem Statement

HighQFitness wanted a system to collect detailed workout data, process large volumes of video recordings, and train an AI model capable of recognizing exercises automatically. The main challenges were:
01
Large-scale video processing
Cameras recorded the gym 24/7, generating hundreds of hours of footage per day. Manual review and labeling were impossible.
02
Precise workout detection
The system needed to detect the exact start and end times of an athlete’s session to create usable datasets.
03
Integration of sensor data
Wearable sensors collected movement information, which had to be synchronized with video recordings.
04
Training-ready datasets
The extracted data needed to be structured, labeled, and reliable for training an AI model without manual intervention.

Solution Approach

Eurus developed a complete workflow to automate the collection, processing, and preparation of workout data for AI training:

Key solutions
delivered included:

Data Capture

  • Installed cameras throughout the gym to capture athlete activity continuously.
  • Provided athletes with wearable sensor kits to track movement and performance during workouts.

Automated Video Processing

  • Split full-day recordings into shorter clips for manageable processing.
  • Built software to analyze each clip and detect the exact start and end of every workout session, accurate down to the second.
  • Extracted only the portions containing actual workouts, eliminating unnecessary footage.

Data Integration for AI

  • Matched each extracted video segment with corresponding sensor readings.
  • Labeled exercises (push-ups, pull-ups, squats, etc.) to create a structured dataset.
  • Combined video, sensor data, and exercise labels to produce high-quality training data for the AI model.

AI Model Training

  • Trained the AI to recognize exercises and monitor athlete performance automatically.
  • Designed the system to be scalable so that future end users could receive real-time guidance using the same sensor kits.

Deliverables

Gym camera and athlete sensor installation

Automated video segmentation and workout detection

Extraction of clean workout clips

Creation of labeled datasets combining video and sensor data

Trained AI model capable of monitoring exercises and providing guidance

Achievements & Impact

  • Fully automated pipeline for data collection and processing
  • Accurate detection of workout sessions down to the second
  • AI model trained to reliably recognize a variety of exercises
  • System prepared for future subscription product with real-time AI monitoring

Client Testimonial

“They're highly responsive and a pleasure to work with. Eurus Technologies has delivered a functional app and platform despite high complexity. Their team is highly responsive, we communicated directly with the engineers.”

Conclusion

HighQFitness now has an automated and reliable system for recording, analyzing, and training AI models on real athlete workouts. This enables them to offer a subscription product with accurate, real-time exercise guidance for end users.