BLLR

Basketball Biomechanics Tracking Solution with Real-Time Player Analytics

Folio3 partnered with BLLR to build a basketball biomechanics tracking platform that combines camera-based computer vision and wearable inertial sensors (MetaMotionsS). This collects data on players’ movement and athletic performance, resulting in injury prevention and performance optimization.

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Project Overview

BLLR, a fast-rising sports technology company, set out to redefine basketball training with an advanced basketball biomechanics tracking platform designed to capture and analyze complex motion data for perfecting free-throw techniques. Their vision was to help athletes and coaches gain precise, real-time biomechanical data on arm movements, shooting angles, and projectile motion. The constant struggle of disconnected systems (video analysis, force plates, wearables, medical records) made it impossible to track progression, prevent injuries, and optimize training. As a consequence, the athlete's performance declined, and the exact cause was unknown.

To overcome these challenges, BLLR partnered with Folio3 Data Services to design and implement a cloud-native, scalable biomechanical predictive data solution capable of ingesting, storing, and analyzing large volumes of motion data in real time. Folio3 integrated Meta MotionS sensor streams through advanced sensor data integration, applied sophisticated data transformation techniques, and leveraged camera-based computer vision for deep motion analysis and AI-driven performance analysis.

Case Study at a Glance

Challenges

BLLR set out to elevate basketball training by capturing precise arm movements and shooting metrics, but building a real-time, data-driven platform for Basketball Biomechanics tracking came with significant challenges. 

Fragmented Data Systems

Disconnected video analysis, force plates, wearables, and medical records made it hard to track progression or identify injury risks.

Complicated Data Integration

Differences in data formats, sampling rates, and synchronization complicated sensor data integration.

No Real-Time Feedback Systems

Manual video review and observation lacked the speed and accuracy athletes needed for immediate technique correction.

Data Quality & Consistency

Sensor noise and calibration issues reduced AI/ML accuracy, limiting actionable insights for performance analysis.

The Solution: Ingestion, Processing & Analysis of Motion Data in Milliseconds 

The primary objective was to create a scalable, real-time data platform for Basketball Biomechanics tracking that transforms raw basketball motion data into actionable insights for athletes and coaches. BLLR aimed to use a cloud-native architecture and advanced analytics to capture, process, and analyze high-frequency sensor streams with precision and speed while powering an intelligent training ecosystem.

Outcome

By combining a biomechanical predictive data solution with real-time feedback systems, BLLR delivers unparalleled precision for players and coaches seeking measurable improvements in shooting accuracy, injury prevention, and long-term performance gains. This future-ready infrastructure ensures scalability for full-body motion tracking and multi-sport applications while enhancing every aspect of basketball training through the latest basketball biomechanics tracking technology.

Before

After

Bring Basketball Biomechanics Tracking Solution to Your Sports or Training Programs

Just as BLLR transformed basketball training with a real-time biomechanical data platform, your sports facility can achieve similar breakthroughs. Folio3 Data Services designs custom solutions that integrate IoT sensors, automate high-frequency data pipelines, and deliver AI-powered analytics for actionable performance insights.

Implementation 

Approach

BLLR set out to elevate basketball training by capturing precise arm movements and shooting metrics, but building a real-time, data-driven platform for Basketball Biomechanics tracking came with significant challenges. 

Discovery & Assessment

Mapped data flows, identified gaps, defined scalability and latency requirements.

Infrastructure & Integration

Built cloud-native architecture with automated pipelines and data governance protocols.

AI Model Development

Trained an LSTM neural network for shot detection and real-time performance benchmarking.

Testing & Optimization

Validated accuracy with live sessions, optimized for minimal latency.

Deployment & Scaling

The Platform rolled out across the training ecosystem with continuous feature enhancements.

Our Team

Built by Engineers. Led by Thinkers. Driven by Results.

At Folio3 Data, we’ve built a team that doesn’t just understand data. They know how to make it meaningful. From our leadership to delivery teams, every person here brings a sharp mind, a hands-on approach, and a real commitment to solving complex problems.

We're a team that becomes an extension of yours - thinking with you, building beside you, and staying until it works.

Ali Rashid

VP Engineering & Country Manager 

Aditya Dayal

VP Artificial Intelligence​

Imam Raza

Senior Software Architect

Sohail Hussain

Software Architect

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