Smart Sports Video Capture and Performance Tracking App for Snow Sports: Ridestrack

Automated sports video capture and performance tracking for smarter snow-sports experiences.

Talk to the Team
Deliverables
Mobile Application
Industry
SportsTech
Duration
3 months
Country
UK
Smart Sports Video Capture and Performance Tracking App for Snow Sports: Ridestrack
Overview

Business Goals & Project Overview

Business Goals

To build a smart sports platform that automatically captures rider action videos while tracking activity performance. The solution aims to reduce manual camera coordination, accurately link media to individual users and sessions, ensure reliable cloud delivery, and provide riders with performance insights, session history, leaderboards, and shareable content.

Project Overview

Ridestrack is a smart sports technology platform designed to automate action video capture and performance tracking during snow-sports activities. The solution combines a mobile application, Bluetooth beacons, GPS, Raspberry Pi devices, Sony cameras, and Firebase cloud services. During an active session, the app detects configured beacons near designated activity zones and sends a trigger to the Raspberry Pi, which controls the camera recording. Each video is linked to the correct rider using session, beacon, timestamp, GPS, and user information before being uploaded to Firebase. Riders can then access captured media through the Media Inbox while also tracking sessions, performance statistics, history, live maps, leaderboards, and shared content.

Proven Results

The Ridestrack Advantage: Automating Sports Video Capture & Performance

Ridestrack connects mobile, Bluetooth beacons, GPS, cameras, IoT devices, and cloud services to automate action video capture while helping riders track performance, sessions, media, maps, and leaderboards.

80%Faster capture-to-media workflow
60%Reduction in manual coordination
40%Improvement in media traceability
70%Faster validation of the sports capture
Challenges & Solutions

Challenges Faced and Conquered

The client needed to create a reliable sports capture experience that could automatically identify riders, trigger video recording at the right moment, securely associate media with each user, and maintain consistent operation across mobile, IoT, camera, and cloud technologies.

The Challenge

Capturing the Rider at the Correct Moment

Riders move quickly through predefined activity zones, making manual camera operation difficult. The system needed to detect the rider’s approach and capture the action at the right moment.

Our Solution

WebMobTech implemented Bluetooth beacon-based proximity detection using beacon IDs and RSSI validation. When a rider enters the designated capture zone, the mobile application triggers the Raspberry Pi, which automatically starts Sony camera recording with a 2-second pre-roll to capture the complete action.

The Challenge

Matching Every Capture to the Correct User

With multiple riders and sessions taking place, captured videos needed to be reliably connected to the right rider and activity session without relying on manual identification.

Our Solution

WebMobTech developed a structured media-tagging workflow linking each capture with the user ID, session ID, beacon ID, timestamp, GPS coordinates, and beacon type. This enables the platform to accurately associate every recorded video with the correct rider and activity session.

The Challenge

Preventing Media Loss in Outdoor Environments

Snow-sports locations can have unstable or intermittent internet connectivity. The platform needed a reliable way to retain captured videos until they could be successfully uploaded.

Our Solution

Captured videos are stored locally on the Raspberry Pi or camera before being uploaded to Firebase. Local files are removed only after successful upload confirmation, helping prevent media loss when snow resorts or outdoor activity locations experience unstable or intermittent internet connectivity.

The Challenge

Connecting Mobile, IoT, and Camera Technologies

The solution depended on several connected components working together, including the mobile app, Bluetooth beacons, Raspberry Pi, Sony cameras, GPS, and cloud services.

Our Solution

WebMobTech designed an event-driven architecture connecting the mobile application, Bluetooth beacons, Raspberry Pi, Sony camera, GPS, and Firebase. Each component performs a defined responsibility, creating a modular workflow that is easier to test, maintain, troubleshoot, and expand.

The Challenge

Turning Video Capture into a Complete Rider Experience

Capturing videos alone was not enough. The platform needed to connect recorded media with activity tracking, performance data, session history, and sharing features to create a complete rider experience.

Our Solution

WebMobTech combined automated video capture with session tracking, performance statistics, activity history, leaderboards, media notifications, downloads, and social sharing. This gives riders a connected experience from starting an activity session to receiving, reviewing, and sharing their captured sports content.

Features Implemented

Key Features & Functionality

  • Key Features & Functionality
  • Key Features & Functionality
  • Key Features & Functionality

  1. Home & Performance Dashboard

    Displays a personalized greeting, weekly session information, performance statistics, and a prominent “Let’s Go” button that allows riders to quickly start a new activity session.

  2. Session Management

    Enables users to start, pause, resume, and stop activity sessions while recording GPS information, accelerometer data, session duration, and beacon milestones throughout the activity.

  3. Live Map

    Displays the rider’s current location along with configured beacon positions and supports Road, Satellite, and Terrain views for improved visibility across different snow-sports environments.

  4. Bluetooth Beacon Detection

    Continuously scans for supported Bluetooth beacons during an active session and validates beacon IDs and proximity before sending a capture trigger to the connected Raspberry Pi.

  5. Automated Video Capture

    Uses validated beacon proximity to trigger the Raspberry Pi and connected Sony camera, enabling automatic recording when the rider enters a predefined approach, jump, or capture zone.

  6. Media Management

    Organizes captured videos within the Media Inbox by activity session and allows users to preview, download, and share their recorded sports content.

  7. Session History

    Allows riders to review previous activity sessions grouped by week, with expandable and collapsible sections that simplify navigation through historical activity data.

  8. Leaderboard

    Enables users to compare activity points with other participants at the same resort or supported activity location, adding a competitive element to the rider experience.

  9. User Management

    Allows administrators to view and manage registered application users through the admin panel, supporting the essential operational requirements of the POC.

  10. User Account Monitoring

    Enables administrators to review basic user information and account status to support testing, user assistance, and ongoing POC operations.

Our Tech Stack

The Right Tools for Every Challenge

Ridestrack is built on a connected mobile, IoT, camera, and cloud architecture using GPS tracking, Bluetooth beacons, Raspberry Pi, Sony camera integration, and Firebase services to enable automated sports video capture, performance tracking, and secure media delivery.

iOS
Android
Firebase Authentication
The Result

A Smarter Way to Capture and Track Every Ride

Ridestrack successfully validated an end-to-end sports technology workflow combining mobile tracking, Bluetooth beacon detection, Raspberry Pi-based camera control, Sony camera integration, and Firebase cloud delivery. The POC demonstrated how riders can be automatically detected, recorded, linked to the correct activity session, and provided with captured media alongside performance tracking, session history, live maps, and leaderboard functionality.

  • Video Capture

    Before
    Manual camera coordination could miss fast-moving rider action
    After
    Bluetooth beacon detection automatically triggers the Raspberry Pi and Sony camera at the designated capture zone

  • Rider & Media Matching

    Before
    Difficult to ensure captured videos were linked to the correct rider
    After
    User ID, session ID, beacon ID, timestamp, GPS coordinates, and beacon type are used to associate media with the correct session

  • Media Upload

    Before
    Unstable outdoor connectivity could lead to incomplete or lost uploads
    After
    Videos are stored locally and deleted only after successful Firebase upload confirmation

  • Activity Tracking

    Before
    Rider activity and video capture were handled separately
    After
    GPS, accelerometer data, duration, distance, and beacon milestones are captured during active sessions

  • Media Access

    Before
    Riders had no connected workflow for receiving captured content
    After
    Uploaded videos are delivered through the Media Inbox with preview, download, and sharing options

  • Performance Experienc

    Before
    Limited visibility into previous activities and comparative performance
    After
    Riders can access session history, performance statistics, live maps, and leaderboards within the application
From Discovery to Production

A Structured Path From Idea to Launch

  1. Discovery & Strategy

    Understood the business goals, user needs, existing workflows, and technical requirements.

    Discovery & Strategy

  2. Solution Architecture

    Defined the system architecture, technology stack, integrations, and data flow required for the solution.

    Solution Architecture

  3. Development & Integration

    Built the core platform in agile sprints, integrating APIs, backend services, frontend experiences.

    Development & Integration

  4. Testing & Optimization

    Validated functionality, performance, security, and usability before preparing the solution for production.

    Testing & Optimization

  5. Deployment & Rollout

    Launched, monitored, and optimized the solution for a smooth production transition.

    Deployment & Rollout
Use Cases

The Value Behind a Smarter Sports Platform

Ridestrack combines automated video capture, activity tracking, performance insights, and cloud media delivery to create a more connected rider experience while reducing manual coordination across sports recording and media management workflows.

  • Automated Video Capture

    Brings hotels, luxury stays, cruises, tours, and travel insurance together on one platform, helping travelers plan and book their trips in one place.

  • Accurate Rider-to-Media Association

    User IDs, session IDs, beacon IDs, timestamps, GPS coordinates, and beacon information help ensure each captured video is linked to the correct rider and activity session.

  • Reliable Media Delivery

    Local storage on the Raspberry Pi or camera, combined with Firebase upload confirmation, helps protect captured media from being lost when outdoor internet connectivity is unstable.

  • Complete Performance Tracking

    GPS, accelerometer data, session duration, distance, and beacon milestones give riders a clearer view of their activity and performance across each session.

Conclusion

Ridestrack brings together mobile tracking, Bluetooth beacon detection, Raspberry Pi-based camera control, Sony camera integration, and Firebase cloud delivery to create a connected snow-sports experience. By combining automated video capture with session tracking, performance statistics, leaderboards, media access, and sharing, the platform removes much of the manual coordination involved in capturing rider activity. The POC establishes a scalable foundation that can be extended to additional sports, activity locations, camera configurations, performance analytics, and future media services.

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FAQs

Frequently Asked Questions

Questions about this automated sports video capture app

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Pramesh Jain

Founder & CEO

The system uses beacon-based detection to identify when a rider reaches a specific capture zone. Once the rider is detected within range, the connected camera setup is triggered to record the activity automatically.

The system is designed to capture short action-based clips during snow-sports activities, traffic tracking and others, especially when a rider passes through predefined zones such as approach areas, turns, or jumps.

Each capture is linked with user, session, beacon, timestamp, and location-related metadata. This helps ensure that the correct media is associated with the right rider and activity session.

Once the video is successfully processed and uploaded, users can access it through the media section of the mobile application, where they can preview, download, or share it.

The media is stored locally before being uploaded to the cloud. If the upload fails due to connectivity issues, the file can remain available for retry, reducing the risk of losing captured content.

Yes. Along with automated video capture, users can track key session details such as distance, duration, location, activity history, and performance-related insights through the mobile application.