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The Bluetooth Low Energy (BLE) Wireless Sensor Network Library facilitates the simulation and design of BLE communication systems within MATLAB Simulink environments. This library allows for accurate modeling of communication between BLE devices, including variables such as interference, signal attenuation, and diagnostic monitoring of battery and data accuracy. It provides a robust toolkit for developing and analyzing wireless sensor networks, making it invaluable for both research and applied technology development purposes. The comprehensive range of blocks enables precise simulation scenarios, advancing BLE system design in academia and industry.
SCAPE-IF is an advanced platform integrating sensors into wearable clothing to analyze body movement and position. The technology facilitates real-time data acquisition and transfer, even under physical strains such as clothing deformation or washing. It includes sensor nodes, a base station for wireless data communication to external devices, and algorithms for body shape reconstruction and movement comparison. This innovation serves both commercial and academic interests by enabling detailed movement analytics and postural corrections using a specialized Unity application. The system's robustness allows it to function seamlessly in various environmental conditions without the need for additional external equipment.
The PAKS, or Automated Railway Crossing Surveillance System, is designed to improve safety at railway crossings. Utilizing a combination of sensor technology and automated control systems, PAKS monitors railway crossings to prevent accidents by detecting approaching trains and managing barrier controls. This system enhances traditional safety measures with advanced monitoring capabilities and real-time alerts, ensuring that crossings operate efficiently and safely under various conditions. The technology is critical for reducing human error and increasing overall transport safety, particularly in busy and high-risk railway areas.
The UWB Impulse Radar Toolkit provides an educational and practical platform for learning and implementing RF concepts through ultra-wideband technology. This toolkit is designed for both instructional environments and as a supplementary integration into existing automated systems. With Ethernet connectivity for robust data communication, the platform serves as an ideal tool for exploring electromagnetic pulse applications and can be utilized either independently or alongside ongoing projects to enhance their sensory capabilities. EDI offers licensing opportunities for this technology, allowing broad accessibility and application possibilities for users in academia and industry alike.
Developed as part of EDI's focus on intelligent transport systems, the V2X Router facilitates seamless communication between vehicles and infrastructure using a variety of network protocols. Implementing ETSI ITS-G5 standards, alongside 802.11p, LTE, and LoRa protocols, this router enables cooperative driving by allowing vehicles to share data regarding their position, speed, and direction. This real-time data exchange is essential for enhancing traffic flow, reducing congestion, and advancing autonomous vehicle systems. The V2X Router exemplifies fail-safe operational standards, meeting stringent automotive industry safety requirements and promoting safer, more efficient roadways.
ConMonity transforms the realm of construction monitoring by providing an IoT-based solution for real-time observation of concrete hardening. By integrating sensors to measure parameters such as moisture, temperature, and deformation, the system offers comprehensive oversight of concrete curing processes. Data collected by these sensors is transmitted wirelessly to a server, where it is processed and visualized through applications on various devices. ConMonity aims to enhance construction productivity by allowing precise monitoring of curing conditions, thereby optimizing the timing of subsequent construction activities and reducing the risk of structural failure due to improper curing.
Silhouse offers an advanced acceleration platform engineered to enhance machine vision applications. By leveraging a collection of image processing IP cores optimized with FPGA technology, Silhouse provides high-performance solutions that significantly boost image processing speeds and efficiency. This technology suits various industries, including automotive, medical imaging, and robotics. Clients can modify solutions with pre-designed component blocks or additional custom developments to cater to specific needs. Silhouse is aligned with rapid development cycles, ensuring swift integration into existing infrastructures, thus reducing time-to-market for advanced vision-based applications.
The Ultrasonic Surface Scanner (USS) is developed to comprehensively assess concrete surface layers. It employs a multi-faceted ultrasonic wave technology to probe concrete's integrity, capturing detailed information about its condition and potential degradation. The system's strengths lie in its capability to perform thorough, non-destructive evaluations that preemptively diagnose structural weaknesses and guide maintenance decisions. By generating 3D spatiotemporal signal matrices and executing spectral analysis, the USS can distinguish between various types of material deterioration, thus offering a substantial improvement over traditional single-parameter ultrasonic techniques.
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