Electrical and Computer Engineering
Electrical and Computer Engineering
Electrical and Computer Engineering projects focus on the systems and technologies that power modern society. From energy infrastructure and embedded systems to computer vision and intelligent automation, students apply advanced engineering methods to solve practical, real-world challenges. These projects integrate hardware and software, combining circuit design, signal processing, and computing with innovative applications in areas such as power systems, robotics, and AI. The outcomes highlight both technical expertise and the ability to design reliable, scalable solutions for today’s connected world.
GRIDGUARD is an innovative project aimed at automating the inspection of power line insulators using computer vision models. The system utilizes drone imagery to detect and classify faults in powerline components, particularly insulators and clamps, which are critical to ensuring the reliability and safety of power lines. The project addresses the inefficiencies of manual inspections, which are costly, time-consuming, and prone to human error. GRIDGUARD employs a multi-stage pipeline, including modules for image acquisition, preprocessing, object detection, and fault classification. The system leverages deep learning techniques, such as YOLOv8 and Faster-RCNN, for high-accuracy detection and classification of faults in real-time. Additionally, the project focuses on optimizing the model for deployment on edge devices using NVIDIA DeepStream and TensorRT. The final deliverable is a deployable system capable of efficiently monitoring powerline infrastructure, improving safety and operational efficiency.