Department of Computer Engineering (BUES): Recent submissions

  • Real - Time Optimal Facial Feature Based Emotional Recognition Using Deep Learning Algorithm 
    Awais Shafiq, 01-132192-042; Muhammad Mudassir Zaman, 01-132192-024; Danish Ali Khan, 01-132192-008 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The domain of facial feature identification (FER) has garnered significant attention in the fields of computer vision and pattern recognition, with deep learning approaches demonstrating their effectiveness ever since their ...
  • Reviving Images 
    Anwaar Ali, 01-132182-057; Arsalan Khan, 01-132192-005 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    In the domain of digital imagery, image restoration is crucial for revitalizing degraded images and recovering their former splendor. The “Reviving Images” project concentrates on developing an innovative method for restoring ...
  • AI-Based Reconstruction for fast MRI 
    Umair Zaheen, 01-132192-045; Hamza Khan, 01-132192-011 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    AI-based reconstruction for fast MRI is the most up-to-date way to make magnetic resonance imaging (MRI) faster. This method uses deep learning techniques to build high-quality MRI pictures from under-sampled k-space data. ...
  • Missing Person Finder Using Deep Learning 
    Bismillah Asnam, 01-132192-007; Zeeshan Ali, 01-132192-039 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The increasing number of Missing persons in public spaces such as train stations, airplane terminals, and malls presents a significant challenge for law enforcement agencies and security personnel. In response to this ...
  • Pothole Detection Using Deep Learning 
    Muhammad Raif Ali, 01-132192-027; Muhammad Touseef Shahzad, 01-132192-041 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Potholes on roads are one of the reasons for road accidents and deploying detection units on all roads for better maintenance is difficult. Deep learning-based pothole detection is a more effective method to easily detect ...
  • Mental Workload Detection And Assessment Using Brain Signals 
    Irfan Haider, 01-132182-035; Muhammad Wamiq, 01-132192-029; Dua Mudassar, 01-132192-050 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Electroencephalogram (EEG) signals can be used to identify mental workload, which is a difficult topic with important industrial and medical implications. In this article, we offer a method for identifying a person's mental ...
  • Autonomous Pick And Place Robotic Arm With Object Detection And Recognition 
    Muhammad Zeshan Malik, 01-132192-030; Saqib Maqsood Shaikh, 01-132192-034; Sulaiman Imran Ahmed, 01-132192-037 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Current robotics pick and place automation is done specifically for each environment and task without much human interaction in a workspace. A collaborative pick-and-place robot is a type of robot that can work alongside ...
  • Deep Learning based Object Detection for Vehicles in Local Urban Traffic 
    Khawaja Hassaan Moiz, 01-132192-014; Ali Amer, 01-132192-004 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The Project focuses on developing a model and a system to detect local urban traffic using a custom locally captured dataset. It captures video feed from a vehicular mounted Camera on a rotatable stabilized platform, which ...
  • E-Safety- “Anti-Theft System On Motorway” 
    Hamza Bin Akhtar, 01-132182-034; Zil-e-Huma, 01-132182-058; Syed Muhammad Ali Imran, 01-132192-038 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    An anti-theft system for a motorway is a security system that helps prevent unauthorized vehicles from entering the motorway. The system utilizes a network of cameras and image processing algorithms to automatically detect ...
  • Human Identification Using Gait Recognition 
    Muhammad Huzaifa Hassan Khan, 01-132192-043; Muhammad Hassan Khalid, 01-132192-022 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Gait recognition is a way used to recognize individuals based on their walking style. Unlike other identification techniques, gait recognition can be performed from a distance using video footage without requiring the ...
  • Deep Learning-Based Interpreter For Sign Language 
    Muhammad Osama Tahir, 01-132192-026; Maria Akhtar, 01-132192-016 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Organizational effectiveness is the dearth need in this hyper-competitive era. Survival and competitiveness depend upon effective communication. Communication is acquiring the desired feedback through the meaningful and ...
  • Clean Water Generator Using Humidity And Electrolysis 
    Saif Ullah Kamil, 01-132182-027; Muhammad Noman Khan, 01-132192-025; Muhammad Luqman, 01-132192-051 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Water is one of the most important resources while access to clean drinkable water has become a global challenge. The goal of this final-year project is to develop a novel design of an atmospheric water generator that ...
  • Vehicle Classification Software Solution for Commonality and ISO Standards 
    Khurram Idrees, 01-132192-015; Muhammad Danial, 01-132192-020; Muhammad Tariq Butt, 01-132192-028 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Cars are an essential part of modern life, providing people with a convenient and efficient means of transportation. Cars have also had a significant impact on society, contributing to the growth of the automotive industry ...
  • Investigating Mental Workload Through EEG Patterns 
    Abbas Khan, 01-132192-002; Ali Sohail, 01-132192-017 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Workload, or the amount of cognitive processing required to complete a task, has a big impact on productivity, security, and general well-being. A method for detecting mental workload uses electroencephalography (EEG) ...
  • Automated Fruit Grading And Sorting System 
    Kashif Chiragh, 01-132192-013; M.Abdul Rafey, 01-132192-018; Ch Zubair Imran, 01-132192-040 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    The agricultural sector of any country represents its economic growth. In the current era efficient, effective and fast detection of fruits grading and sorting is a concern which affects its market and also alters the ...
  • Vehicle Detection, Speed Monitoring And Classification From Video Stream 
    Hoor Ul Ain Tahir, 01-132162-031; Abdullah Waqar, 01-132162-001 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    Detection of vehicles and its license number plates is an important part in real-time applications. Many of the approaches initially detect a vehicle and number plate, after that recognize the characters by using only an ...
  • Pests Detection and Classification on National Crop Based on Deep Learning 
    Muhammad Umair, 01-132192-046; Shehbaz Khan, 01-132192-036; Aayza Rehman, 01-132192-044 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Pests are a major threat to crop production worldwide. In many countries, pests cause significant economic losses, affecting food security and livelihoods. A significant amount of the harvest could be saved if these damages ...
  • Diabetic Retinopathy Severity Detection through Deep Learning 
    Haieqa Iftikhar, 01-132192-010; Shahab ud Din Syed, 01-132192-035 (Computer Engineering, Bahria University Engineering School Islamabad, 2023)
    Diabetic Retinopathy (DR) is a serious and common complication of diabetes that can lead to vision loss and blindness if not detected and treated early. It is a condition that damages the blood vessels in the retina, the ...
  • Suspect and Weapon Identification System 
    Asad Ullah, 01-132162-004; Syed Nazir Shah, 01-132162-020 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    For various security purposes, it is necessary nowadays to find a suspect and identify weapons. Face recognition and object detection plays an important role in today’s technology era and development in the field of image ...
  • Remote Admin And Point Of Sale 
    Muhammad Ahmer Bin Altaf, 01-132162-039; Nabeel Ahmed Abbasi, 01-132162-044 (Computer Engineering, Bahria University Engineering School Islamabad, 2020)
    In this project we build a system for the Restaurant. Certainly, technology is already accessible in the fast food shops industry but accomplishing this technology for the purpose of making things practicable and well-organized ...

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