PROJECT HIGHLIGHTS
InSight – Bringing Clear Sight to Indoor Navigation
Indoor environments present unique challenges for unmanned ground vehicles (UGVs) due to the absence of GPS signals and the complexity of navigating confined spaces. Traditional localization methods struggle with non-line-of-sight communication and signal interference, limiting the operational effectiveness of UGVs in these environments. Our advanced UGV tracking and localization system, “InSight”, solves this problem using ultrasonic sensors and landmark-based localization, providing real-time, accurate positioning in indoor settings without needing GPS. This approach ensures precise UGV movement while maintaining real-time data visualization for optimal navigation in complex, dynamic indoor spaces.
AerialVision-AI: Aerial Intelligence with Dual Imaging and AI-Powered Precision
Many industries face challenges in accurately detecting, tracking, recognizing, and counting objects in large and complex environments. Traditional surveillance and monitoring methods are often resource-intensive, requiring manual effort and time, which leads to inefficiencies and increased costs. The AerialVision-AI offers a cutting-edge solution by integrating unmanned aerial vehicles (UAVs) with artificial intelligence (AI) to automate target detection & tracking, recognition, and counting tasks. With the added capabilities of RGB and thermal imaging, this system delivers highly accurate real-time results across various industries, including security, agriculture, and infrastructure management.
Olympus mmWave Antenna – Super Compact mmWave MIMO Antenna for Future 5G and mmWave Applications
The increasing demand for high data rates in present 5G networks and forthcoming 6G networks necessitates robust support for bandwidth-intensive applications like online gaming, education, and healthcare. To meet these requirements, network equipment and devices, particularly radio frequency (RF) antennas, must effectively manage the high transmitted data rates. However, existing multiple-input multiple-output (MIMO) antennas for 5G mmWave communication often require high gain, wide bandwidth, and optimal performance characteristics, resulting in challenges related to communication quality, practical feasibility, and bandwidth response. The Olympus antenna is designed to address the challenge of reliable communication with enhanced performance characteristics, including smaller size, high gain, wide bandwidth, high efficiency, and high isolation for future 5G devices. The MIMO configuration ensures dependable communication when traditional frequencies face limitations, such as crowded city areas or remote regions. By using the defected ground structure (DPST) and patch structure technique (DPST), this antenna enables devices to efficiently send and receive signals, enhancing connectivity in smart cities, autonomous vehicles, industrial IoT systems, and smartphones.
RFMapper: Your Indoor Compass
Outdoor location-based services can be easily achieved by employing the Global Positioning System (GPS). However, in an indoor environment, non-line-of-sight communication, complex building structures, and other obstacles degrade the performance of satellite-based positioning. Thus, there is a strong need for reliable Indoor Positioning Systems (IPSs). Our IPS RFMapper provides reliable localization accuracy in indoor scenarios without GPS. It takes help from anchor nodes (AN) based on Radio Frequency (RF) such as BLE, Wi-Fi, etc. ANs already know their locations, as they are manually deployed at points with known locations. RFMapper relies on the location-dependent parameters of the radio signals emitted from the RF-based ANs. The system uses a robust machine learning-driven approach to provide accurate positioning in complex indoor settings.
Designing Smart Parking System With Live Space Availability
In busy urban environments, finding an available parking spot is often challenging and time-consuming for drivers. This search process not only causes frustration but also leads to increased traffic congestion, fuel consumption, and air pollution. To address these issues, this project introduces a Smart Parking System with Live Space Availability, designed to make parking more efficient, environmentally friendly, and convenient. The system uses ultrasonic sensors to monitor parking spaces and provide real-time information about availability. This data is displayed on digital screens, guiding drivers directly to open spots, thereby reducing the time they spend circling parking lots or streets.
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Solar-Powered Dual Battery System and Automated Battery Management for Golf Carts
With a growing sustainable environment and increasing reliance on electric golf carts for close distance transportation, there is a clear need for a more efficient and sustainable battery system. Taking our campus as a major example, golf carts are used regularly to transfer students from buildings to parkings.In a survey of 50 students from PSU, 92% reported using the golf carts, with 34 of them using them daily. Additionally, 26 students reported waiting 2-5 minutes, and 21 students waited more than 5 minutes for the carts—significant delays given Riyadh’s hot climate and the students' busy schedules. These findings highlight the importance of focusing on improving the golf cart system at PSU. Furthermore, the survey results indicate strong support for the integration of renewable energy, specifically solar panels, into the golf cart system to enhance both efficiency and sustainability