Live Track is an advanced web application designed to revolutionize waste management through the integration of IoT sensors. The platform leverages real-time sensor data to automate waste logistics, optimize vehicle routes, and improve environmental sustainability. By connecting live sensors, Live Track enables tracking of vehicle locations, management of waste containers and materials, and continuous monitoring of sensor data. The system offers dynamic features such as QR management, sensor flexibility, and customizable notifications, providing end-to-end optimization for waste disposal logistics, significantly reducing CO2 emissions and operational costs.
The primary objective was to create a versatile platform capable of interfacing with independent hardware manufacturers while intelligently analyzing real-time sensor data. The system was required to optimize vehicle routing, loading frequencies, and waste container management, leading to substantial time and cost savings and reduced environmental impact through lower CO2 emissions. The platform had to remain adaptable to hardware upgrades while ensuring consistent performance.
The development of Live Track presented several technical challenges:
Sensor Data Integration: Seamless integration of live sensor data to ensure real-time tracking of waste levels and vehicle locations.
Data Simplification and Latency Handling: Managing large volumes of sensor data in real time, simplifying and processing this data efficiently, while addressing potential latency issues that could impact decision-making.
Custom QR Management: Designing a flexible QR management system to identify and track waste containers and materials in cases where sensors were not available.
Customizable Notifications: Creating a robust notification system that triggers alerts based on pre-defined sensor thresholds, allowing for immediate, proactive user actions.
Adaptability to Multiple Sensor Types: Ensuring the platform could accommodate different sensor types and hardware, or even function without sensors by relying on QR code scanning as a fallback.
Dynamic System Design: Developing a dynamic, scalable platform that could adapt to future hardware upgrades without requiring modifications to the software infrastructure.
ViitorCloud developed an advanced, highly dynamic web application tailored to Live Track’s technical needs. The solution includes:
IoT Sensor Integration: The platform interfaces with various IoT sensors using protocols like LoRaWAN and MQTT to monitor waste levels in containers and track vehicle locations in real time. The system also adapts to data lagging scenarios by simplifying large data sets for quicker processing and decision-making.
Dynamic Data Collection and Simplification: The application integrates a data collector module that processes and simplifies complex sensor data streams in real time. This enables accurate, rapid decisions without overwhelming the system.
Material and Container Management: Users can efficiently create and manage containers, material types, and loading frequencies. The system remains flexible in adapting to different kinds of waste, including organic, recyclable, and hazardous waste.
Custom QR Code Management: For situations where sensors are unavailable or faulty, the system enables QR code scanning to identify containers and materials. This ensures continuity and reliability, even in environments with partial hardware availability.
Customizable Notifications: The notification system allows users to define custom triggers based on sensor data, such as waste levels, temperature, or container capacity, enabling them to respond proactively to changing conditions.
Hardware Independence and Scalability: he software architecture is built to function across various hardware versions and manufacturers. Even with future hardware upgrades, the system remains fully operational, showcasing its adaptability and scalability.
Fallback for Non-Sensor Containers: In scenarios where waste containers lack sensors, the system allows QR code scanning as an alternative, ensuring seamless operations regardless of sensor availability.
User Access and Customization: Role-based access control (RBAC) ensures security, while features like custom landing pages, QR code management, and dynamic notification settings provide users with a personalized experience.
Live Track selected ViitorCloud for its expertise in IoT sensor integration, data-driven solutions, and robust system design. ViitorCloud’s ability to build a highly adaptable, scalable platform was crucial in addressing Live Track's need for a solution that works with various sensors and optimizes waste management operations in real time.
Frontend: Angular, React, HTML, CSS
Backend: Node.js, Python
Database: PostgreSQL, MongoDB, InfluxDB
Real-Time Sensor Protocols: LoRaWAN, MQTT
Infrastructure Tools: Kubernetes, Docker, CodePipeline, CodeBuild, EventBridge, SQS, SNS
Architecture: Microservices
The Live Track platform successfully revolutionized waste management operations, delivering the following key results:
Operational Efficiency: The platform streamlined logistics, reduced operational costs, and optimized waste collection processes through data-driven insights.
CO2 Emission Reductions: By optimizing vehicle routes and waste disposal processes, the system significantly contributed to reducing CO2 emissions.
Scalability and Flexibility: The platform’s flexibility to work with independent hardware manufacturers and multiple sensor types made it highly scalable and adaptable for future applications in other industries.
The Live Track IoT sensor-based waste management system is a testament to ViitorCloud's expertise in IoT integration and scalable software design. This powerful solution automates logistics, simplifies waste management processes, and contributes to a sustainable future by reducing costs and lowering CO2 emissions.
Looking to automate waste management or optimize logistics through IoT? Contact ViitorCloud to explore how we can build a cutting-edge solution for your business.
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