IRIS V2

Autonomous System Development Platform 🚀

AI-Driven Intelligence • Embedded Control • Custom Hardware

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Project Overview

This repository represents a complete autonomous system prototype, developed as a multidisciplinary engineering project integrating Artificial Intelligence, embedded firmware, custom PCB hardware, application-level UI/UX, and mechanical enclosure design.

The project was executed in a team-based environment (5 members) with a strong focus on real-world system design practices, including modular architecture, hardware–software co-design, and scalable development.

The aim was not only to build a functional autonomous system, but to design it the way industry-grade autonomous platforms are actually engineered.

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Vision & Motivation 🌍

Autonomous systems are complex cyber-physical products that require seamless interaction between:

• Intelligent decision-making algorithms
• Real-time embedded control
• Robust and reliable custom electronics
• Human–machine interaction interfaces
• Mechanical protection and form factor design

This project was initiated to bridge the gap between theoretical knowledge and practical system deployment, simulating a real product development workflow from concept to prototype.

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Key Objectives 🎯

• Design a modular and scalable autonomous system architecture
• Develop AI/ML-based perception and decision-making
• Implement embedded firmware for real-time system control
• Design a custom prototype PCB tailored to system requirements
• Build an application-level UI/UX for monitoring and interaction
• Design a mechanical casing using SolidWorks for physical deployment
• Practice technical leadership, system integration, and documentation

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System Architecture 🧩

The system is divided into well-defined layers that work together as a single autonomous platform:

1. AI / ML Layer
   Handles perception, inference, and high-level decision-making.

2. Firmware Layer
   Responsible for sensor interfacing, actuator control, communication protocols, and real-time execution.

3. Hardware Layer (PCB)
   Custom-designed PCB providing power management, signal routing, and peripheral integration.

4. Application Layer (UI/UX)
   User interface for system monitoring, control, and configuration
   (Completed – pending upload to repository)

5. Mechanical Design Layer
   SolidWorks-designed casing for protection, mounting, and usability
   (Completed – pending upload to repository)

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Technologies & Tools 🛠️

• AI / ML: Python, machine learning libraries
• Embedded Firmware: C / C++
• PCB Design: KiCad
• UI / UX Application: Application-based monitoring & control (completed)
• Mechanical Design: SolidWorks (completed)
• Version Control: Git & GitHub

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Development Status 🚧

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Why This Project Matters 💡

This project demonstrates a full autonomous system engineering pipeline, covering:

• Multidisciplinary technical depth
• Hardware–software co-design
• Leadership and system ownership
• Product-oriented engineering mindset

It reflects the skills required for industry-level autonomous systems, robotics, and embedded product development.

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Future Enhancements 🔮

• PCB revision based on extended testing and optimization
• Performance tuning of AI models
• System robustness and reliability testing
• Deployment-focused refinements

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Acknowledgements

This project was developed as a collaborative team effort, with clearly defined roles and shared responsibility for successful system delivery.

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