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Institute of Electronics and Computer Science

The Institute of Electronics and Computer Science (EDI), located in Riga, Latvia, stands at the forefront of research and development in the fields of smart transport, intelligent manufacturing, healthcare, space technologies, and smart cities. EDI is renowned for its innovative approach to integrating new technologies into various sectors, ensuring the advancement of science and technology within the country and beyond. The institute has a long-standing tradition of excellence in scientific research, supported by state-of-the-art laboratories and a dedicated team of scientists and engineers. EDI actively engages in numerous collaborative projects with both local and international partners. Their endeavors include groundbreaking work in precision time measurement, remote sensing, and the development of embedded intelligence and sensors. The institute's commitment to fostering partnerships extends beyond academia and includes industries, research centers, and government bodies, facilitating a robust ecosystem for technological innovation and economic growth. Focusing on real-world applications, EDI's research projects address critical issues affecting contemporary society, such as energy efficiency, environmental sustainability, and healthcare improvement. Through the commercialization of its technological solutions, EDI not only contributes to academic knowledge but also provides practical benefits to businesses and communities. As a leader in technological advancement, the institute is instrumental in leveraging scientific discoveries for potential commercial success. Read more

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Concrete Surface Layer Degradation Detection System

This innovative system specializes in identifying and monitoring degradation in concrete surfaces. Utilizing state-of-the-art detection algorithms and sensor technologies, it provides early warning signs of wear and structural compromise. Essential for infrastructure maintenance, the system is designed to extend the life of concrete structures by facilitating timely repairs and maintenance. The degradation detection system collects data over time, enabling predictive analysis for better maintenance planning. It can be applied to bridges, roads, and other civil infrastructures where maintaining concrete integrity is crucial. This proactive approach to infrastructure health management helps in avoiding catastrophic failures and reduces repair costs in the long term. With its ability to operate in various environmental conditions, the system is versatile and can be integrated into existing maintenance protocols. The easy-to-use interface and robust data analysis capabilities make it an invaluable tool for engineers and maintenance teams worldwide, bolstering safety and reliability.

Institute of Electronics and Computer Science
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V2X Router for Vehicle and Infrastructure Communication

This V2X Router is pivotal in enhancing communication between vehicles and infrastructure, playing a crucial role in smart transportation systems. It enables vehicles to exchange information about traffic conditions, hazards, and other critical data seamlessly with roadside units and other vehicles. Through improved communication, the V2X Router enhances road safety and traffic management, contributing to reducing accidents and congestion. It supports various communication protocols and is adaptable to different vehicle types and infrastructure, ensuring broad compatibility and future-proofing technology investments. As urban environments evolve, the need for efficient transport systems grows. The V2X Router offers a sustainable solution to this challenge, supporting the transition to intelligent transport systems that prioritize safety, efficiency, and environmental sustainability. Its deployment marks a significant step toward realizing the full potential of connected and autonomous vehicles.

Institute of Electronics and Computer Science
Ethernet, RapidIO, Safe Ethernet, SAS, V-by-One, W-CDMA
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Sensor Clothing Platform for Movement Analysis

A cutting-edge tool designed for detailed movement analysis, the Sensor Clothing Platform integrates advanced sensors into wearables to provide precise tracking of motion data. It's ideal for applications in sports analytics, healthcare monitoring, and rehabilitation services. The platform offers real-time analytics and feedback, making it a valuable resource for enhancing athletic performance, preventing injuries, and aiding in recovery. Engineered for versatility, the Sensor Clothing Platform can be adapted to various body types and movement ranges. It provides comprehensive data acquisition, enabling researchers and clinicians to study biomechanical events with high accuracy. The textile-based sensors are seamlessly integrated, ensuring comfort and unobtrusiveness during use, promoting adoption across diverse settings. Primarily used in experimental settings now, the Sensor Clothing Platform promises to advance towards more widespread adoption. Prototypes are being refined for mass production, and future versions will likely include enhanced data analytics capabilities for deeper insights into human movement patterns.

Institute of Electronics and Computer Science
Input/Output Controller, Sensor, USB
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Bluetooth Low Energy (BLE) Wireless Sensor Network Library

The Bluetooth Low Energy (BLE) Wireless Sensor Network Library is a versatile suite enabling the rapid deployment and management of sensor networks across various applications. This library leverages BLE technology to maximize energy efficiency and extend the lifespan of sensor networks, making it ideal for IoT applications. The library offers robust connectivity and supports a wide range of devices, facilitating seamless integration into existing IoT ecosystems. It provides developers with the tools necessary to build custom applications, from smart homes to health monitoring systems, enhancing the versatility and functionality of BLE networks. In the age of connectivity, the BLE Wireless Sensor Network Library from EDI stands out due to its flexibility and user-friendliness. It enables innovators to prototype solutions swiftly while ensuring that network deployment scales to meet evolving demands. Its energy-conscious design is crucial for minimizing operational costs and environmental impact in consumer and industrial applications alike.

Institute of Electronics and Computer Science
Bluetooth, I2C, Receiver/Transmitter, USB
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UWB Impulse Radar Toolkit

The Ultra-Wideband (UWB) Impulse Radar Toolkit from EDI is a comprehensive package designed for applications in precise ranging and high-resolution imaging. Leveraging UWB technology, this toolkit enables detailed analysis of spatial environments, which is crucial for applications such as search and rescue operations, industrial automation, and structural monitoring. The radar toolkit supports precise measurements over short to medium ranges, making it ideal for a variety of settings, from complex industrial environments to challenging outdoor conditions. Its high-resolution data provides insights unattainable by conventional radar systems, allowing for detailed mapping and object detection. The toolkit is designed for ease of integration and can be tailored to specific applications, offering a flexible solution that can expand as project needs evolve. Whether for academic research or real-world application, this radar toolkit enhances the capability to comprehend and analyze spatial relationships and object dynamics efficiently and effectively.

Institute of Electronics and Computer Science
Interrupt Controller, RF Modules, Sensor, WMV
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ConMonity - IoT Platform for Concrete Hardening Monitoring

ConMonity offers an advanced IoT-enabled platform that tracks and monitors the hardening process of concrete in real time. By integrating sensors directly into the concrete mix, it allows for continuous monitoring of various parameters crucial for ensuring the optimal curing of concrete. This platform is designed to improve construction quality and efficiency significantly. Through precise data on temperature, moisture, and other key metrics, construction teams can make informed adjustments to the curing process. This leads to stronger, more durable concrete structures and reduces the risk of costly structural failures. As building projects increase in complexity, ConMonity's role becomes even more vital. It supports construction managers by providing essential data needed for decision-making, ensuring project timelines and quality standards are met. ConMonity represents a leap forward in construction technology, enhancing safety and reliability in large-scale building projects.

Institute of Electronics and Computer Science
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Silhouse - Rapid Machine Vision Solutions

Silhouse is an advanced machine vision toolkit designed to accelerate the deployment of AI-driven visual recognition systems. It is particularly tailored for industrial and robotics applications where rapid processing and accuracy are required. The toolkit simplifies the integration of machine vision capabilities in assembly lines, quality control, and automated inspection systems. Equipped with high-performance algorithms and hardware-agnostic interfaces, Silhouse reduces the complexity inherent in setting up vision systems. It allows users to configure and deploy vision applications without in-depth programming knowledge, making advanced visual analytics accessible to a wider range of users. In an era where automation and process efficiency demand swift technological integration, Silhouse provides a competitive edge. It supports adaptable and scalable solutions tailored to individual user needs, facilitating seamless integration into existing infrastructure across various industries.

Institute of Electronics and Computer Science
2D / 3D, Camera Interface, Coprocessor, Flash Controller, GPU, Oversampling Modulator, Peripheral Controller, Vision Processor
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Automated Railway Crossing Surveillance System (PAKS)

The Automated Railway Crossing Surveillance System (PAKS) is engineered to enhance the safety and efficiency of railway crossings. It uses cutting-edge sensor technology and AI-driven analytics to monitor crossings continuously, delivering real-time data to railway operators and authorities. PAKS aims to prevent accidents by ensuring warning signals are always operational and by providing live updates on the status of crossings. The system detects obstructions or malfunctions early, enabling quick responses to potential hazards. Its automation capabilities reduce the need for human presence and monitoring at each crossing, optimizing resource allocation and reducing costs. With the increase in railway traffic and the complexity of modern transport systems, PAKS represents a significant step forward. It enhances public safety, minimizes service disruptions, and ensures a reliable flow of rail transport. This system is a key part of modernizing railway infrastructure to meet current and future demands for safety and efficiency.

Institute of Electronics and Computer Science
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