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Development of an IoT-Based Monitoring App for Equine Performance and Health Optimization
  1. case
  2. Development of an IoT-Based Monitoring App for Equine Performance and Health Optimization

Development of an IoT-Based Monitoring App for Equine Performance and Health Optimization

cogniteq.com
Sports
Medical
Consumer products & services

Identified Challenges in Equine Performance Monitoring and Health Management

The client develops innovative wearable devices that monitor vital parameters such as breathing rate, heart rate, distance, and speed during training sessions. Trainers and owners require a centralized platform to access real-time data and analyze historical performance to optimize training regimes and ensure horse welfare.

About the Client

A technology-driven company specializing in wearable devices and related software solutions for horse racing and training facilities seeking real-time performance monitoring and health analytics for racehorses.

Goals for Developing a Real-Time Horse Monitoring Solution

  • Create a mobile application enabling horse trainers and owners to access real-time vital parameter data from wearable devices via smartwatch interfaces.
  • Implement comprehensive data visualization, including dynamic graphs and metrics for immediate insights and detailed post-training analysis.
  • Enable historical data tracking to identify performance trends over time and support informed decision-making.
  • Integrate firmware update capabilities for connected wearable devices through Bluetooth connectivity.
  • Support collaborative team access, allowing multiple users to manage and monitor shared horses and devices.
  • Incorporate customizable alerts to notify users of significant changes in horse health metrics or performance indicators.

Core Functional Requirements for Equine Monitoring Platform

  • Real-time visualization of vital parameters (breathing rate, heart rate, speed, distance) with dynamic, intuitive graphs.
  • Historical data access and analysis, including session summaries, training conditions, and performance trends.
  • Account creation and login via email or social accounts for secure access.
  • Horse management module for adding/removing horses with details like breed, age, and gender.
  • Team collaboration features for sharing access among multiple users.
  • Satellite map integration displaying horse trajectories during training.
  • Post-training analytics showing metrics such as training zones, weather conditions, and geolocation data.
  • Firmware update system using Bluetooth for connected wearable devices.
  • Customizable alerts based on performance or health threshold breaches.

Recommended Technologies and Architectural Approaches

Kotlin with Coroutines for Android app development
ViewModel + LiveData for UI and data management
Retrofit for network communication
Firebase for backend and real-time database management
Google Maps API for geospatial visualization
Glide for image loading
Nordic Semiconductor DFU library for firmware updates

Essential External System Integrations

  • Wearable sensor devices for real-time data collection
  • Bluetooth protocols for device connectivity and firmware updates
  • Mapping services (e.g., Google Maps) for geolocation visualization
  • Authentication providers for user login (email and Google accounts)
  • Data analytics tools for in-depth post-training performance analysis

Critical Non-Functional System Requirements

  • System scalability to support increasing numbers of users and devices
  • Real-time data processing latency under 2 seconds for live monitoring
  • High data security, complying with relevant privacy standards
  • Reliable firmware update mechanism with fail-safe procedures
  • User-friendly interface accessible on various device screen sizes
  • High availability with 99.9% uptime

Projected Business Value and Outcomes of the Monitoring System

The developed platform aims to enable trainers and owners to make data-driven decisions that improve horse performance and health. Expected outcomes include enhanced training efficiency, early detection of health issues through real-time alerts, comprehensive historical performance insights, and a competitive edge by implementing pioneering features like breathing rate monitoring. These improvements are projected to reduce injury risk and optimize training effectiveness, ultimately driving increased client satisfaction and operational success.

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