In this project, with the assistance of some tools and a machine learning model, a smart wind turbine was formed that eliminates some expensive sensors and reduces sensor complexity. Squirrel cage induction generator (SCIG) and six rotor blades make up the proposed design, and depending on the wind's direction, the turbine itself can rotate the rotor hub to produce energy more effectively. Additionally, two stepper motors are coupled to the yaw mechanism with the aid of the rotor hub, and the entire controlling procedure will depend on the direction of the wind. The rotor hub must continuously revolve in the same direction as the wind to maximize wind energy utilization. Additionally, to correctly predict wind degrees, a machine learning model was deployed. Random forest regression was used to train and predict the wind direction. The model is deployed in Raspberry Pi, where the incoming sensor values are being stored. Using the generated data, machine learning model was trained and it can be concluded that the model can potentially replace some of the expensive sensors to reduce cost. The model can be used for similar weather conditions only based on machine learning model and fewer sensors.
Reckless driving is one of the prominent causes of human-based vehicle collisions, which are gradually increasing. Furthermore, due to a lack of real-time evidence, very few further investigations are done to determine the actual causes of these accidents. In this project, a few sensor-based black box systems that will assist us in reducing traffic collisions by giving accurate instructions to the driver constantly was proposed. At the same time, it will upload the evidence to its server for further analysis. All of the information will be shown on a monitor directly in front of the driver's seat. Lastly, the relevant authority will receive information on the vehicle's condition and location via GPS and GSM. A compact system with multiple sensors is operating effectively and the final outcome contains drivers’ drowsiness, 360-degree view, eye aspect ratio, and alcohol detection.
This project was done during my undergrad thesis. Its was about the safety concern of smart vehicles. The prototype in the project was developed in such a way that it could perform emergency braking after measuring the proper distance. While the distance is short, the prototype can reduce the RPM (Revolutions Per Minute) of the wheels to minimize the speed of the vehicle.
The monitoring system of the generating data is proceeded by this device. This ESP-32 module works with a Wi-Fi connection. It receives the data from the server and sent it to the monitor by VGA.
Monitoring displays can be connected through this device from anywhere. The real-time values represent the overall scenario of the production.
A course-based project was assigned to draw the electrical and civil plan with the proper Bangladesh National Building Code(BNBC) and National Electric Code(NEC). The generated design was submitted as AutoCAD drawings. Every calculation was submitted and implemented for this drawing.
An Electrical power sub-station for a residential area was instructed to be drawn. It was designed through AutoCAD considering all the necessary components and calculations.
Soccer Bot- This high-tech system incorporates advanced robotics, artificial intelligence, and computer vision to enable real-time perception, decision-making, and precise motor control. The bot is designed to navigate dynamic soccer environments with agility and strategic gameplay. This project highlights the convergence of hardware and software engineering, showcasing the potential for robotics in enhancing leisure activities and advancing scientific research. Ultimately, it serves as a platform for exploring human-robot collaboration in sports.
Line Following and Obstacle Avoidance Robot- This project focuses on the development of a line-flowing and Obstacle Avoidance Robot, which integrates advanced robotics, computer vision, and navigation algorithms. This robot autonomously follows predefined paths while efficiently detecting and avoiding obstacles. It exemplifies the fusion of hardware and software engineering and showcases the practical applications of this technology in fields such as automated transportation and industrial automation.
Self-Balancing Robot- My project revolves around the development of a Self-Balancing Robot, which showcases the integration of advanced mechanical design and control algorithms. This robot's primary objective is to maintain its equilibrium by continuously adjusting its position in response to external disruptions. This project highlights the synergy between hardware and software engineering and holds promise for practical applications in personal mobility and industrial automation.
Soccer Bot
Line Following and Obstacle Avoidance Robot
Self-Balancing Robot