Our customer is a premium quality, value-based fitness brand with more than 90 locations across four states. Each gym aims to create an energetic and seamless experience for its members with spacious and colorful environments, high-tempo music and passionate staff.
In a competitive industry, where customer experience is key, our customer wanted to improve its member check-in experience using facial recognition.
An IoT DeepLens project was initially conceptualized during a conversation with the AWS DeepLens team. Cloudreach was brought in at this stage to create a project plan to build a facial recognition platform leveraging all AWS native services and devices.
The camera system was built leveraging AWS DeepLens with an integrated camera. This was loaded with AWS GreenGrass, complete with a facial detection algorithm leveraging local Machine learning interference and Lambda function execution. The image and customer processing utilized AWS Cloud services including IoT, Lambda, S3, DynamoDB, AWS Rekognition and EC2.
We used Sagemaker build machine learning capabilities to significantly improve image recognition and build intelligent models using member check-in time to the gym.
Throughout the project, Cloudreach developed solutions that met the needs of the customer’s leadership, customer engagement, and marketing teams, hosting regular demos and progress updates.
We also included the customer’s development team in the process as early as possible to ensure seamless integration to their current customer and data ingestion process.
Cloudreach delivered a facial recognition solution that allows members to seamlessly enter the customer's locations without interruption.
The custom, facial recognition solution utilized an AWS DeepLens camera with facial recognition algorithm on-device, to check-in known members as they pass the camera. A custom front-end displayed the images captured for manual verification and member identification when recognized.
This solution also provided front desk personnel with information about members as they entered the gym. This allowed the customer to further enhance the member experience with positive, personalized greetings.
In addition, the customer wanted to be able to analyze the sentiment of customers during the process, made possible using AWS Rekognition. This allows them to better understand the mood of their members providing more data that can be used to tailor the perks and discounts on offer to the customer when they are using the gym’s facilities.
Premium US Fitness Brand
Our customer is a premium quality, value-based fitness brand, with over 90 locations across four states. Each gym aims to create an energetic and seamless experience for its members with spacious and colorful environments, high-tempo music and passionate staff.