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Case study · Cloud Solutions

Advanced Crop – Web App

Advanced Crop is a computer vision–powered web app built for Advanced Life (Australia). It automatically detects a subject’s face and top of head in images—cropping them to a standardized aspect ratio (1.5), preserving…

Client
Global Tech Solutions
Category
Cloud Solutions
Timeline
12 months
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codencreative.com/work/advanced-crop-web-app
Advanced Crop – Web App – project preview

01Overview

About the project

Advanced Crop is a computer vision–powered web app built for Advanced Life (Australia). It automatically detects a subject’s face and top of head in images—cropping them to a standardized aspect ratio (1.5), preserving consistency across large volumes of images, all without manual effort.

02The challenge

What the client needed to solve

  1. 01
    Automated Subject Detection & Cropping: With social distancing, portraits were captured from further away, so images needed automatic detection of the face + the highest point (hair, accessories, etc.), then crop to center the head and maintain consistent aspect ratio.
  2. 02
    Remote Server Processing & File Handling: The application must read and write images on remote servers, preserving the existing directory structure, without storing images locally on the application server.
  3. 03
    Preset Crops & Additional Features: Different crop versions required, plus features like eyes-closed detection, glasses detection, possibly green screen (chroma-key) removal, all integrated into the workflow.
  4. 04
    High Volume & Hardware Constraints: Process ~50,000 images per day without relying on GPU servers, while keeping accuracy, speed, and low manual intervention.

03Our solution

What we built

  1. 01
    Robust Face & Head Detection: Used machine learning + computer vision models to identify faces and highest head points in varied image types and distances; then applied cropping to center the subject and match the target ratio.
    Advanced Crop – Web App: solution step 1
  2. 02
    Remote File Processing & API Support: Designed a service that works on remote machines; users pick source/destination folders and desired functions, submit the job, and the remote service processes & saves results in same structure. APIs built so this functionality can be used from other apps.
    Advanced Crop – Web App: solution step 2
  3. 03
    Multiple Crop Presets & Optional Features: Added support for multiple crop versions, glasses & “eyes-closed” detection, and explored chroma-key (green screen) removal in parallel with cropping.
    Advanced Crop – Web App: solution step 3
  4. 04

    • Parallel & Efficient Processing: Implemented parallelism, multitasking, optimized algorithms to hit the 50,000 images/day goal without using GPU, ensuring near-perfect accuracy (~99.99%) and minimal manual oversight.

    Advanced Crop – Web App: solution step 4

04Results

The outcome

  • 60%

    reduction in infrastructure costs

  • 99.99%

    uptime achieved

  • 50%

    faster deployment cycles

  • Enhanced security compliance

05Deliverables

What we handed over

  • Cloud infrastructure setup

  • Migration documentation

  • Security protocols

  • Monitoring and alerting system

  • Team training materials

"The Advanced Crop web app has completely transformed our image processing workflow. What once took our team countless hours is now fully automated with incredible accuracy. Processing over 50,000 images daily without manual intervention has boosted our efficiency, consistency, and overall quality. CodeNCreative’s expertise in computer vision and automation has been invaluable for our operations."
Zach · CTO, Advanced Life (Australia)

FAQ

Questions about this project

Quick answers about our work for Global Tech Solutions.

Ask us something else

  • Advanced Crop is a computer vision–powered web app built for Advanced Life (Australia). It automatically detects a subject’s face and top of head in images—cropping them to a standardized aspect ratio (1.5), preserving…

  • AI & ML, Computer Vision, Image Processing, API Development, Remote Server Processing, Development Services, Creative Services.

  • Python, OpenCV, TensorFlow/Keras, REST API's, Flask, Remote Server Infrastructure, Parallel Processing Algorithms, Automation Scripts.

  • The project timeline was 12 months.

  • Yes. Email hi@codencreative.com or use the contact form with a short description of your goals, and we will reply with a suggested approach, timeline and estimate.

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