Streamlining Recycling Operations Through Automation and Machine Learning
Introduction
In an increasingly eco-conscious world, the efficient handling of recyclable materials has become a critical concern. A major player in the recycling industry was facing challenges in sorting and processing these materials. The client sought to overcome these bottlenecks to improve operational efficiency and reduce costs.
The Challenge
- Inefficient Sorting Process: Manual sorting was not only labor-intensive but also prone to errors.
- Inadequate Data Management: Lack of real-time data hampered effective decision-making.
- Operational Overheads: With inefficiencies at multiple levels, operational costs were escalating.
The Solution
Ampity Infotech stepped in with a two-pronged approach:
- Automated Sorting Solution: We developed an intelligent sorting system using IoT sensors and machine learning algorithms. This system could identify and sort recyclable materials with over 95% accuracy.
- ERP Integration: The automated system was seamlessly integrated into the client’s existing ERP system, enabling real-time data analytics.
Technology Stack
- Backend: Node.js, Django
- Frontend: React, Angular
- Database: MongoDB, PostgreSQL
- Security: SSL/TLS Encryption, JWT for Authentication
- Cloud: AWS
- IoT: MQTT Protocol
- DevOps: Docker, Kubernetes, and Git for version control
Results
- The automated sorting solution significantly improved sorting efficiency by 30%.
- Real-time data analytics empowered the client with actionable insights, streamlining decision-making processes.
- The integration of the automated system with the ERP led to a 20% reduction in operational costs.