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    Smart Fit

    Optimizing classes with AI and Computer Vision

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    Optimizing classes with AI and Computer Vision
    ClientSmart Fit
    Technologies
    AWSAmazon S3
    Category
    Computer Vision
    IndustryHealth

    Smart Fit faced a significant challenge in accurately monitoring the number of students attending its classes. Manual counting not only consumed employees' time, but also generated inaccuracies that directly affected management and resource allocation. This limitation made it difficult to efficiently plan schedules and compromised the quality of the customer experience. A solution was needed that allowed automatic and accurate monitoring of class occupancy, optimizing class distribution and student experience.

    In partnership with MadeinWeb and AWS, Smart Fit implemented an innovative computer vision solution using Amazon Rekognition. The system automatically counts students through cameras installed in classrooms, processing and storing data in a secure and scalable way. The solution architecture combines:

    Amazon Rekognition: AI for image analysis and automated student counting.

    Amazon S3: Secure video storage and integration with SmartFit systems.

    AWS Fargate: For running processing containers.

    Machine Learning: Learning algorithms for training personalization and optimization classes.

    Big Data Analytics: Data analysis to identify patterns and improve student retention.

    Process Automation: Reduced need for manual counting and dynamic adjustment of operational capacity.

    In addition to counting accuracy, the system allows:

     

    • Identification of crowding patterns

    • Optimization of scheduling

    • Better distribution of instructors

    • Efficient management of class capacity

    "We were looking for more than just counting; we wanted business intelligence. The partnership with MadeinWeb was essential in transforming our need for space optimization into a robust technological solution." With this solution, we move from perception to data. We can now adjust class times, allocate instructors, and plan future units based on actual demand. The results obtained with the solution exceeded our expectations and gave us the confidence necessary to expand the project.”

    — Edmilson de Assis Agripino - Gerente de Projetos – Bioritmo / Smart Fit
    Reduction of35%in overcrowding of classes
    Increase in22%in the occupancy rate during idle times
    Positive ROI on4mesesof operation
    Processing+50.000daily analyzes on 1,300 units

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