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Development of an Advanced Impact Monitoring and Predictive Analytics Platform for Contact Sports Safety
  1. case
  2. Development of an Advanced Impact Monitoring and Predictive Analytics Platform for Contact Sports Safety

Development of an Advanced Impact Monitoring and Predictive Analytics Platform for Contact Sports Safety

trigent.com
Sports
Medical

Identifying Challenges in Real-Time Impact Data Collection and Player Safety Enhancement

The client requires a comprehensive impact monitoring system capable of providing real-time, processed data with actionable insights to proactively influence player behavior, improve safety protocols, and differentiate their product offerings in the competitive sports equipment market.

About the Client

A leading sports equipment manufacturer specializing in smart protective gear and impact monitoring solutions aiming to enhance player safety and training effectiveness.

Goals for Developing an Impact Monitoring and Analytics System

  • Design and develop a web-based, information-rich impact monitoring platform to analyze player impacts and build impact profiles for proactive training interventions.
  • Create an advanced visualization tool within the platform to help coaches understand impact exposures and optimize training schedules.
  • Implement predictive analytics to forecast injury risks and promote safety measures on the field in real-time.
  • Develop a mobile application featuring real-time player statistics, QR code scanning, and push notifications to facilitate on-field decision-making.
  • Establish a CI/CD pipeline for seamless updates and iterative improvements.

Core Functional Specifications for Impact Monitoring and Analytics System

  • Impact Data Collection Module: Captures impact impact measurements via sensors and consolidates data for analysis.
  • Impact Profiling Dashboard: Visual interface to build and monitor individual and team impact profiles over time.
  • Predictive Analytics Engine: Uses collected data to forecast injury risks and identify potential safety issues proactively.
  • Enhanced Practice Planning Tool: Visualization features to schedule and project impact levels during training sessions.
  • Real-Time Mobile App: Features QR code scanning, live player statistics, and push notifications for field use.
  • Data Processing and Reporting: Automated generation of actionable insights and detailed impact reports.

Recommended Technologies and Architectural Approach for Robust Impact Monitoring

ReactJS
Node.js
Express.js
Highcharts
PostgreSQL
CI/CD pipelines with Jenkins

Essential External System Integrations for Data and Functionality

  • Impact sensor devices for real-time data collection
  • Mobile device hardware for scanning and notifications
  • Analytics and reporting tools for data visualization

Key Non-Functional System Attributes for Performance and Reliability

  • Scalability to support increasing numbers of impact sensors and users
  • Low latency data processing for real-time insights
  • High system availability and uptime (e.g., 99.9%)
  • Secure data handling, compliant with privacy standards
  • Automated deployment and continuous iteration via CI/CD

Projected Business Impact of the Impact Monitoring Solution

The implementation of an advanced impact monitoring and predictive analytics platform is expected to enhance player safety, reduce injury risks through proactive interventions, and support the client in maintaining its market leadership in sports helmet technology. The solution aims to enable real-time safety insights, improve training strategies, and foster innovation, ultimately increasing product adoption and brand reputation in the sports industry.

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