Development of a Scalable End-to-End Recycling and Resource Recovery Management Platform with Computer Vision Integration

The organization faces difficulties in managing end-to-end waste and recycling processes, including manual transactions, limited traceability, and inefficient data collection. There is a need to improve data transparency, streamline compliance reporting, and support expansion into new regions and material types while utilizing advanced technology for quality assurance.

A mid-sized non-profit organization aiming to digitize and streamline waste and recycling process management across multiple regions, ensuring regulatory compliance and data transparency.

• Create a flexible, scalable platform to manage resource recovery and recycling supply chain data.
• Enhance data accuracy, auditability, and transparency across the waste management cycle.
• Implement computer vision and optical character recognition to validate transactional data via photos and signatures.
• Reduce manual data entry and reporting by automating validation processes.
• Design a modular, progressive web application compatible with desktops and mobile devices.
• Enable future system expansion to additional regions and recyclable materials.

• Interactive visual interface supporting data input and process tracking.
• Modular architecture to facilitate future scalability and feature addition.
• End-to-end transaction management for pickup, delivery, and processing stages.
• Automated data validation for detecting inconsistencies during the recycling workflow.
• Computer vision modules utilizing optical character recognition for extracting data from photos and signatures.
• Photo validation feature to improve data quality and reduce validation team workload.
• Robust user acceptance testing procedures for internal and field users.

• Regulatory compliance databases for reporting standards.
• Regional waste management authorities for data exchange.
• Mobile device hardware for image capture and signature validation.
• Existing enterprise data systems for importing/exporting resource recovery data.

• System shall support data transactions across approximately 6,500 collection sites and 100 service providers.
• Application response time should be under 2 seconds for core functionalities.
• Secure data handling with encryption both at rest and in transit.
• System must support scaling to additional regions and materials without performance degradation.

The platform is expected to significantly improve data accuracy, reduce manual effort, and streamline compliance reporting, leading to increased waste diversion and support for a circular economy. Targeted KPIs include expanding operational coverage, enhancing data auditability, and enabling scalable growth, mirroring a successful trajectory of broad adoption across thousands of sites and numerous stakeholders.