Convergence of Industrial Automation, Machine Learning & Visual Programming
Our team has developed an innovative Waste Water Management System that combines cutting-edge technologies to create an intelligent, automated solution for water treatment processes.
This project represents the convergence of industrial automation, machine learning, and visual programming to deliver a comprehensive water management platform.
Dashboard & Systems Integration
Satyam is responsible for designing the dashboard interface and ensuring all components of the system are smoothly integrated.
Project Leader andPLC Programming Engineer
Leading overall project direction, & develops the graphical logic that controls machines by programming PLC ladder logic, which directs machines on how to react to different signals.
Machine Learning Engineer and connectivity
Pushkar manages machine learning (ML) tasks and system connectivity, ensuring efficient data flow between parts.
Modbus & site devlopment
creates and manages the website, oversees the entire project to keep tasks on track, and also handles Modbus—a protocol widely used for industrial device communication.
Visual flow-based programming for IoT integration with real-time data collection and dashboard creation.
Minconnect is a modern web platform that lets you access all main dashboard features and controls quickly and easily. Its interface is minimalist and user-friendly, so you can monitor your data and tools all in one place without any hassle.
Intelligent decision-making with water quality prediction models and anomaly detection algorithms.
Industrial control and automation with valve control systems and safety protocols.