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AI-Powered Sports Video Analysis

Experience the power of sports video analysis software to enable your team with critical insights, fine-tune strategies, and elevate performance, fostering a competitive edge for sustainable success and improvement.

Upwork Ukraine Award

Upwork Ukraine Award: Best Agency 2019 in Kharkiv, UA

Requestum recognizion by the Manifest

The Manifest is recognizing Requestum as one of our Global Dev & IT industry frontrunners for 2022!

Benefits of Sport Video Analysis

Ensuring team alignment

Ensuring team alignment

Foster unity and collaboration among your team members by ensuring everyone understands and works cohesively towards the defined objectives.

Discovering competitive edge

Discovering competitive edge

Utilize video analysis for an honest assessment, uncovering your team's strengths and areas for improvement, and effectively communicate these insights

Performance optimization

Performance optimization

Delve into the details and explore the depth of analysis you require. Identify the moments for improvement and make impactful changes with each opportunity.

Key Technologies We Use for AI Sports Video Analytics Software Development

In the competitive realm of professional sports, leveraging data analytics is crucial for securing victories. The integration of AI technology has put this process to new heights, offering unparalleled speed, precision, and accessibility. Here are key AI technologies we use for building sport video analysis software.

Machine Learning

We leverage ML algorithms to enhance sports video analysis, adapting over time to recognize complex patterns, movements, and player actions. This technology provides an understanding of player behavior, game tactics, and performance trends, tailoring insights to the evolving nature of sports.

Deep Learning

Our use of deep learning, with its multi-layered neural networks, is instrumental in dissecting complex video content. This technology enables to achieve a deeper, more nuanced understanding of sports footage, facilitating detailed analyses of players and game strategies.

Computer Vision

Through CV, we empower the software to interpret game footage visually, identifying objects, actions, and crucial events automatically. This technology is pivotal for the automated tracking and comprehensive analysis capabilities, enhancing the accuracy and depth of sports video analysis.

Natural Language Processing

We employ NLP to extract additional insights from commentary and social media, integrating qualitative data into our video analysis. This enriches the understanding of player performance and public perception, adding a technologiesluable layer of context to our quantitative analyses.

Object Detection and Tracking

Object detection and tracking systems give the ability to accurately identify and monitor specific objects, like players and balls, within video frames. This capability is essential for analyzing player positions, movements, and overall game dynamics, offering a detailed view of the action.

Pose Estimation

We apply pose estimation techniques to analyze players' body positions and postures, gaining insights into their technique, form, and biomechanics. This analysis is crucial for helping athletes improve their performance and minimize injury risks, providing targeted recommendations for enhancement

Data Analytics and Visualization

We harness sophisticated analytics tools and intuitive visualization to turn data into actionable insights. This approach supports strategic planning by ensuring that the insights are both accurate and user-friendly, facilitating informed decision-making and the formulation of effective strategies.

Augmented Reality and Virtual Reality

We provide immersive ways to review and interact with game footage through AR and VR. These technologies allow coaches and players to explore strategies and scenarios in a highly engaging and interactive manner, offering a unique perspective on game analysis and preparation.

Key Technologies We Use for AI Sports Video Analytics Software Development

In the competitive realm of professional sports, leveraging data analytics is crucial for securing victories. The integration of AI technology has put this process to new heights, offering unparalleled speed, precision, and accessibility. Here are key AI technologies we use for building sport video analysis software.

Machine Learning

We leverage ML algorithms to enhance sports video analysis, adapting over time to recognize complex patterns, movements, and player actions. This technology provides an understanding of player behavior, game tactics, and performance trends, tailoring insights to the evolving nature of sports.

Deep Learning

Our use of deep learning, with its multi-layered neural networks, is instrumental in dissecting complex video content. This technology enables to achieve a deeper, more nuanced understanding of sports footage, facilitating detailed analyses of players and game strategies.

Computer Vision

Through CV, we empower the software to interpret game footage visually, identifying objects, actions, and crucial events automatically. This technology is pivotal for the automated tracking and comprehensive analysis capabilities, enhancing the accuracy and depth of sports video analysis.

Natural Language Processing

We employ NLP to extract additional insights from commentary and social media, integrating qualitative data into our video analysis. This enriches the understanding of player performance and public perception, adding a technologiesluable layer of context to our quantitative analyses.

Object Detection and Tracking

Object detection and tracking systems give the ability to accurately identify and monitor specific objects, like players and balls, within video frames. This capability is essential for analyzing player positions, movements, and overall game dynamics, offering a detailed view of the action.

Pose Estimation

We apply pose estimation techniques to analyze players' body positions and postures, gaining insights into their technique, form, and biomechanics. This analysis is crucial for helping athletes improve their performance and minimize injury risks, providing targeted recommendations for enhancement

Data Analytics and Visualization

We harness sophisticated analytics tools and intuitive visualization to turn data into actionable insights. This approach supports strategic planning by ensuring that the insights are both accurate and user-friendly, facilitating informed decision-making and the formulation of effective strategies.

Augmented Reality and Virtual Reality

We provide immersive ways to review and interact with game footage through AR and VR. These technologies allow coaches and players to explore strategies and scenarios in a highly engaging and interactive manner, offering a unique perspective on game analysis and preparation.

Our Expertise in AI Sports Analysis Software Development

Football player performance evaluation: Project challenge

Football player performance evaluation

The main objective of this project was to create an advanced system designed to measure athletic performance with great precision. It focused on monitoring and evaluating football players' movements during matches to offer meaningful insights into their performance.

Football player performance evaluation: Project challenge

Our approach

Our team addressed this challenge by leveraging a suite of advanced technologies:

  • CNN-Based Field Marking Recognition

    We utilized Convolutional Neural Networks (CNN) to identify key points and lines on the football field. This technology allowed us to establish a reference framework for accurately tracking the players' movements.

  • Custom Camera Calibration

    We utilized Convolutional Neural Networks (CNN) to identify key points and lines on the football field. This technology allowed us to establish a reference framework for accurately tracking the players' movements.

  • Object Detection and Tracking

    Our system employed advanced object detection and tracking algorithms. These were instrumental in monitoring the athletes' positions and movements throughout the game, providing real-time performance data.

  • Pose Estimation

    We implemented a lightweight pose estimation model. This model was designed to recognize the projection point of an athlete's pelvis onto the field, a key metric in assessing movement efficiency and agility.

Football player performance evaluation: Our approach

Results


  • Accurate Performance Metrics

    The system reliably calculated essential metrics like speed and acceleration, offering coaches and players valuable insights for training and strategy development.

  • Efficient Resource Usage

    Despite its complexity, the pose estimation model was optimized to require less than 200 MB of GPU memory and function effectively at low resolutions, ensuring its applicability in various environments without the need for high-end hardware.

  • Enhanced Training and Strategy

    The insights provided by our system have been instrumental in enhancing training regimes and in-game strategies, directly contributing to improved athletic performance.

What our customers say

  • CEO, XSCALE
    CEO, XSCALE

    "Requestum was always accessible and ready to discuss new ideas. Every suggestion that I have made during the project was carefully considered, and went through feasibility pipeline which worked perfectly for my platform."

    Neeraj Saxena

    CEO, XSCALE

  • CEO, XSCALE
    CEO, XSCALE

    "Requestum's level of professionalism and responsiveness separates them from other suppliers. The developers’ level of sophistication of the tools and algorithms they bring to the market is also impressive."

    Cory Yates

    CEO, Recruiting Analytics

  • James Hodson
    CEO, Mysyla

    "Requestum works more efficiently during a war than most other teams work in peacetime. The quality of development work is excellent on all fronts. Despite setbacks with the team needing to move around the country to stay safe, air raid sirens, and Internet outages, the team has never missed a deadline or gone a day without finding a way to communicate.  Requestum genuinely cared about making sure the final product was exactly what was needed. The team improved the features in ways that we could never have come up with ourselves. They obviously enjoy working together, and have created an excellent team spirit and work ethos."

    James Hodson

    CEO, MySyla

  • Ben Clink
    Head of Customer & Digital, South Sydney Rabbitohs

    "I can confidently call Requestum a reliable partner who delivered an easy-to-use, feature-rich app on time and within budget. The team worked collaboratively, accommodated all requests and scope changes, and communicated effectively throughout the project. They went the extra mile to understand and respond to the requirements."

    Ben Clink

    Head of Customer & Digital, South Sydney Rabbitohs

  • Danny van de Griend
    Chief Executive Officer

    "Mauris non tempor quam, et lacinia sapien. Mauris accumsan eros eget libero posuere vulputate. Etiam elit elit, elementum sed varius at, adipiscing vitae est. Sed nec felis pellentesque, lacinia dui sed, ultricies sapien. Pellentesque orci lectus, consectetur vel posuere posuere."

    Danny van de Griend

    Chief Executive Officer

  • GianBruno Torrano
    Vice President, Soft-net Sp. Z o.o.

    "The team is readily available and regularly checks in. Their responsive nature sets them apart and supplements continued engagement. Requestum has facilitated a positive customer experience by understanding the requirements and successfully implementing a number of complex backend functionalities."

    GianBruno Torrano

    Vice President, Soft-net Sp. Z o.o.

  • Ruairidh Galbraith
    Digital project manager, Uncommon Knowledge

    "The team at Requestum is very friendly, efficient and professional. We have worked with them on more than one occasion and are very pleased with the quality of service. So far we’ve made back the money that we spent in less than eight months of launching."

    Ruairidh Galbraith

    Digital project manager, Uncommon Knowledge

    Previous Next
    • CEO, XSCALE

      Neeraj Saxena

      CEO, XSCALE

      "Requestum was always accessible and ready to discuss new ideas. Every suggestion that I have made during the project was carefully considered, and went through feasibility pipeline which worked perfectly for my platform."

    • CEO, XSCALE

      Cory Yates

      CEO, Recruiting Analytics

      "Requestum's level of professionalism and responsiveness separates them from other suppliers. The developers’ level of sophistication of the tools and algorithms they bring to the market is also impressive."

    • Danny van de Griend

      Danny van de Griend

      Chief Executive Officer

      "Mauris non tempor quam, et lacinia sapien. Mauris accumsan eros eget libero posuere vulputate. Etiam elit elit, elementum sed varius at, adipiscing vitae est. Sed nec felis pellentesque, lacinia dui sed, ultricies sapien. Pellentesque orci lectus, consectetur vel posuere posuere."

    • James Hodson

      James Hodson

      CEO, MySyla

      "Requestum works more efficiently during a war than most other teams work in peacetime. The quality of development work is excellent on all fronts. Despite setbacks with the team needing to move around the country to stay safe, air raid sirens, and Internet outages,

      the team has never missed a deadline or gone a day without finding a way to communicate. Requestum genuinely cared about making sure the final product was exactly what was needed. The team improved the features in ways that we could never have come up with ourselves. They obviously enjoy working together, and have created an excellent team spirit and work ethos."

      Show More

    • Ben Clink

      Ben Clink

      Head of Customer & Digital, South Sydney Rabbitohs

      "I can confidently call Requestum a reliable partner who delivered an easy-to-use, feature-rich app on time and within budget. The team worked collaboratively, accommodated all requests and scope changes, and communicated effectively throughout the project. They went the extra mile to understand and respond to the requirements."

    • Ruairidh Galbraith

      Ruairidh Galbraith

      Digital project manager, Uncommon Knowledge

      "The team at Requestum is very friendly, efficient and professional. We have worked with them on more than one occasion and are very pleased with the quality of service. So far we’ve made back the money that we spent in less than eight months of launching."

    • GianBruno Torrano

      GianBruno Torrano

      Vice President, Soft-net Sp. Z o.o.

      "The team is readily available and regularly checks in. Their responsive nature sets them apart and supplements continued engagement. Requestum has facilitated a positive customer experience by understanding the requirements and successfully implementing a number of complex backend functionalities."

      Want to experience the power of AI video analysis in sport?

      Requestum team is excited to help you increase your capabilities through innovative technologies.

      Contact us

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