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Crowd Analytics platform Nola has advised of a link with UK-based venues and events technology leader TwinLabs ai that will integrate real-time gym equipment usage metrics into their digital twin system enabling smarter, data-driven decisions to improve member experiences and optimise asset investments.

A leader in digital twin technology for venues and events, TwinLabs’s cutting-edge solutions create live, data-driven 3D visualisations, enabling venues to optimise operations, streamline resource management, and enhance operational efficiency.

By integrating real-time intelligence, TwinLabs is transforming the way venue owners and managers optimise their operations and improve user experiences.

Innovating Gym Usage and Equipment Monitoring
Looking to integrate real time usage data into their GymTwin product to provide gym operators with insights to their member behaviour and equipment usage, TwinLabs partnered with Nola for its Video Intelligence as a Service (VIaaS) platform, to deliver a scalable, cost-effective solution that could integrate seamlessly with existing infrastructure to provide real-time data - without requiring major hardware changes.

Nola’s Video Intelligence as a Service (VIaaS) is a cost-effective, scalable platform that can extract actionable insights from existing CCTV systems. By using Nola’s platform, technology companies and system integrators can deliver real-time data and actionable insights to their clients without requiring major infrastructure investments.

Compared to traditional video analytics providers, Nola provides a 99.5% cost advantage, making it a powerful and affordable solution for technology partners.

Key Benefits for Technology Companies & System Integrators
Scalable Architecture: Easily integrates into large-scale systems with multiple feeds.

Cost-Effective: 99.5% more affordable than traditional video analytics solutions, offering high ROI for integrators and end customers.

Seamless Integration: Utilises existing CCTV infrastructure, reducing the need for new hardware investments.

Real-Time Data: Delivers insights with near-zero latency, ensuring actionable data is available instantly.

Privacy-Focused: Anonymised data collection ensures compliance with data protection laws, a key factor for integrators handling sensitive information.

Solution Overview: Seamless Integration with Digital Twin Technology

​Using Nola’s technology, TwinLabs was able to integrate real-time gym equipment usage metrics into their digital twin system. This integration enabled TwinLabs to deliver a more dynamic experience for gym operators, providing insights such as real-time occupancy, equipment usage over time, and usage patterns across different times of day, and days of week.

By leveraging these insights, TwinLabs can offer gym operators the tools to make smarter, data-driven decisions to improve member experiences and optimise asset investments.

Commenting on the innovation, TwinLabs Chief Executive, Peter Gray stated “partnering with Nola has enabled us to bring new solutions to market quickly and efficiently.

“Their Video Intelligence as a Service platform integrates effortlessly into our existing digital twin infrastructure, providing us with the real-time visitor insights we need to optimise gym operations and resource management. The Nola team’s responsiveness and support have been invaluable, helping us deliver superior solutions to our clients with greater operational efficiency and cost savings."

Key Features
Pre-built Machine Learning Models: Optimised for visitor-based use cases such as entry counts, engagement metrics, and occupancy tracking.

Real-World Reliability: Provides highly accurate insights even in challenging environments, such as poor video quality or inconsistent lighting.

Scalable and Robust: Perfect for large-scale implementations in diverse industries.

Privacy-First Approach: Ensures anonymised data insights, maintaining full compliance with privacy laws.

Click here to contact Nola via their entry in the Australasian Leisure Management Supplier Directory.

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