Check fraud continues to be a substantial challenge in the financial sector, involving the unauthorized use of checks for illegal fund acquisition. To address the issue of fraud detection, specific Artificial Intelligence models, particularly Convolutional Neural Networks (CNNs), have been increasingly applied to classify checks as fraudulent or legitimate. However, there is a crucial aspect […]

This project aims to enhance subsea video quality for improved underwater visual inspection and analysis, crucial for industries like offshore oil and gas, marine research, underwater construction, and maritime security. Leveraging advanced AI and machine learning techniques, we will address challenges like water turbidity, light attenuation, and visual distortions in underwater images. Through the Lab2Market […]

The “Drone-Based Search and Rescue (SAR) System in Dense Forests” project aims to transform SAR operations using a coordinated swarm of drones equipped with advanced computer vision and machine learning algorithms. These drones, launched from DJI dock stations and connected via Starlink satellite technology, will efficiently locate missing persons in densely forested areas. By processing […]

Automating the extraction of handwritten text from checks is crucial for fraud detection and efficient check processing. Although Optical Character Recognition (OCR) tools like Tesseract excel with typed text, they often falter with handwritten content, causing computational inefficiencies. This project’s focus is on developing a rapid and cost-effective OCR solution tailored for handwritten text on […]

Our project aims to tackle the persistent issue of bank check fraud by using advanced deep learning technologies. By developing a system that can automatically detect fraudulent alterations in check images, we seek to enhance the security and reliability of financial transactions. This project is a collaboration with Verafin Inc., a leading provider of fraud […]

The proposed research project aims to tackle the issue of bank cheque fraud. The project will use advanced object detection AI models to accurately extract and segment bank cheques into their component fields, a crucial step in detecting fraudulent activity. These AI models will be trained to recognize specific parts of a cheque, such as […]

The ARMIS (Autonomous Real-time Mapping and Imaging System) project aims to develop an advanced indoor mapping solution utilizing cutting-edge robotics, AI, and image processing technologies to create detailed, real-time indoor maps. This system will autonomously navigate complex environments such as universities, hospitals, corporate campuses, and transportation hubs, capturing 360-degree images and processing them to blur […]

OPAS Mobile is an innovative software made by Mavin Industrial Limited that enhances workplace safety and productivity through AI-powered incident management solutions. To address current challenges and seize growth opportunities, we aim to expand into international markets, improve technical marketing, develop market-specific onboarding processes, craft compelling project proposals, and plan impactful industry events. The “Global […]

Hybrid Piezoelectric-Electromagnetic (Piezo-EM) Vibration Energy Harvesters (VEHs) utilizing magnets and nonlinearity present an innovative solution for generating increased energy from mechanical vibrations, offering a sustainable and renewable power source for diverse applications. Our focus lies in creating innovative and highly efficient designs that enable precise tuning of the working frequency based on the specific application, […]

Motor impairment is a common symptom after stroke and recovery of motor function is important for regaining the patient’s independence in activities of daily living. Being able to predict motion recovery and outcomes soon after stroke could support clinicians, patients and families to set proper goals for rehabilitation and appropriate plans of time and resource […]

Reinforcement Learning (RL) driven Electronic Design Automation (EDA) is revolutionizing layout placement optimization for integrated circuits, enabling a faster design process. By incorporating the RL techniques, we enhance the historically precise yet labor-intensive process for smart integrated circuit (IC) fabrication. This innovative approach streamlines IC design, accounting for factors such as foggy and proximity effects, […]

A fertility app is proposed to help couples assess their risk of infertility, create personalized behavior change programs, and track fertility-related biomarkers. Personal, health, and lifestyle information will be collected and synced with smart devices to monitor menstrual cycles, ovulation, stress levels, heart rate, sleep patterns, and physical activity. Data will be continuously analyzed by […]