Waste Pickers Facial Recognition System

Industry: Manufacturing
Company Size: 4 500+ Employees

About the Company

Our client is a leading paper and plastics packaging and recycling business in southern Africa. With a circular business model, they are committed to closing the loop in packaging by recycling and beneficiating recyclables while providing sustainable packaging solutions and value-added services.

The Challenge

The client needed an efficient and secure way to register and verify the identity of waste pickers participating in a recycling incentive program. Traditional manual registration methods were time-consuming, prone to human error, and presented risks related to identity fraud and duplicate entries. The client required a digital solution that could streamline enrolment, ensure accuracy, and support real-time verification using biometric data.

Our Solution

Alper Tlou, serving as a .NET Developer through CyberPro Consulting, played a key role in developing the Waste Pickers Facial Recognition System. Working closely with the project team, he contributed to building a secure, cloud-based application that streamlined user registration, improved identity verification through AWS Rekognition, and enhanced the overall efficiency of the client’s recycling incentive programme.

We developed a custom web application that enables seamless registration and authentication of waste pickers using facial recognition technology. The application integrates with an external camera to capture user images during the registration and login process. AWS Rekognition was implemented to analyse, compare, and store facial biometrics for reliable identity verification.

Key components of the solution include:

A responsive and secure web-based interface for administrators and field agents.
Integration with AWS Rekognition for facial analysis and identity matching.
Real-time feedback to confirm successful matches or flag inconsistencies.
Secure backend to manage user data and facial image storage with compliance in mind.

Modular architecture designed for future integration with other biometric or IoT devices.

Benefits to the client

The implementation of the facial recognition-based registration system significantly improved operational efficiency and accuracy. Key benefits included:

Faster onboarding of new users with minimal manual intervention.
Elimination of duplicate or fraudulent registrations, ensuring integrity of the database.
High user satisfaction, especially from field workers who now experience a smoother workflow.
A future-proof platform that can scale and integrate with additional AWS services or identity features as needed.

Overall, the project addressed the client’s core need for a reliable and tech-forward solution, while laying the foundation for further digital transformation in their operations.

Technologies and Methodologies Used

Amazon Bedrock
Amazon Cognito
Amazon EC2 Windows
Amazon Q Developer
Amazon Rekognition Face Liveness
Amazon Rekognition Image
Amazon S3

The Waste Pickers Facial Recognition System demonstrates how cutting-edge cloud technologies can be used to solve real-world challenges in sustainability and community engagement. By digitizing identity verification and streamlining operations, our client not only improved the efficiency and integrity of its recycling incentive program, but also set a strong foundation for scalable, secure digital solutions across its broader business landscape. This project showcases our commitment to delivering impactful, future-ready solutions built on AWS.

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Delivering excellence through decades of expertise, innovation, and trusted solutions.