Project Description

IoT is an entirely new ecosystem with a new type of data being generated, where devices also reveal user data and trends. The application of IoT in the area of seat finding system in buses has been a transition process and movement from traditional system to new and more active system.

The incorporation of these technologies in the seat finding system eases management challenges experienced, with regards to self-servicing, monitoring, and tracking of seats in the Bus. The implementation of pressure pad sensor technology on Bus resources like seats, in order to provide information on their availability and usage, has helped to reduce the amount of chaos and disturbance in seat finding process.

Implementation of these sensor technologies improves the sensing of accurate data about occupant and occupancy of Bus seat utilization. The challenges faced by passengers in locating unoccupied seats and details of seat occupants in the Bus are central to this research. This system provides a smart bus seat occupant and occupancy information system.

Project Description

Our Steer-by-Wire (SBW) system replaces traditional mechanical steering with electronic control, enabling advanced vehicle dynamics and paving the way for autonomous driving. The system employs Model Predictive Control (MPC) and Sliding Mode Control (SMC) algorithms for exceptional stability and responsiveness across all driving conditions.

Key innovation includes Variable Steering Ratio (VSR) technology that automatically adjusts steering sensitivity - providing agile maneuverability at low speeds while maintaining highway stability. The system integrates seamlessly with ADAS features like lane-keeping assist and automated parking.

Through hardware-in-loop testing and real-time validation, we've achieved precise steering control with MAE < 0.8° and RMSE < 1.2° under various load conditions. The solution reduces mechanical complexity while enhancing safety through redundant electronic systems.

Project Description

This IoT-based system provides real-time monitoring of parking lots, combining water level detection and slot availability tracking. The system features a transmitting unit with sensors and a main unit for cloud communication, using Zigbee technology for reliable data transmission.

The water level sensor monitors flood risks while slot sensors track parking availability. Data is transmitted to a central cloud platform, providing real-time updates to users and administrators through mobile applications and web interfaces.

Project Description

This comprehensive security system combines fingerprint authentication with real-time GPS tracking to prevent vehicle theft. The embedded system validates driver identity through biometric verification while continuously monitoring vehicle location.

The system features GSM/GPS integration for real-time tracking and alerts, with automatic engine lock functionality for unauthorized access attempts. Administrators receive instant notifications through SMS and mobile apps during security breaches.