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Discover how occupancy sensors enhance smart buildings, improving energy efficiency, user comfort, security, and safety while optimizing resources and adapting to occupants’ needs.

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BLE mesh is a network topology for Bluetooth Low Energy (BLE) wireless communications built on top of Bluetooth (LE) standards, especially for IoT and Smart Buildings. BLE mesh is compatible with Bluetooth version 4.0 and higher.

Explore the world of low-power embedded systems design, where energy efficiency is key. Learn about power optimization techniques, power management integrated circuits, and energy harvesting methods that can extend battery life and optimize performance. Dive into the challenges faced by developers in balancing power and performance, integrating components with different power requirements, and overcoming limitations of battery technology. Understand the role of memory management in reducing power consumption and discover the importance of choosing the right real-time operating system for your low-power embedded systems.

Revolutionize your fleet management with Telematic Systems. Collect real-time data wirelessly and optimize operations, reduce costs, and enhance safety. Learn more about Telematic devices, modules, and control units today.

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Embedded systems are computer systems designed for specific tasks, often found in applications like consumer electronics and industrial automation. They are built on microcontrollers or microprocessors and require specialized knowledge of hardware components, electronic concepts, and programming languages. Key aspects include understanding microcontrollers, using Linux BSPs or FreeRTOS for optimization, and testing methodologies for reliability. Embedded development demands diverse skills in microcontrollers, real-time operating systems, and debugging tools to create efficient and reliable systems.

IoT gateways bridge the gap between IoT devices and networks, enabling secure and efficient data communication, processing, and management across various use cases. These gateways are essential for IoT networks, providing device management, remote monitoring, and security measures. They play a crucial role in IoT adoption, allowing for optimized solutions and improved system performance.

The article discusses the importance of IoT sensors in capturing real-time data from the physical world and how careful selection of sensors is critical for capturing the right type of data for IoT use cases.

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This article outlines the essential IoT skills required for successful system development, including hardware design, firmware/software development, sensor/actuator integration, network engineering, IoT security, cloud computing, and data analytics/machine learning. As IoT systems grow in complexity, understanding these skills becomes vital for businesses to remain competitive. Enterprises without in-house expertise can partner with established IoT development companies to access specialized skills quickly. The key takeaway is that investing in planning resources focused on security, scalability, and efficiency is critical to designing and developing successful IoT systems.

IoT inventory management revolutionizes multi-channel retail and 3PL services by providing real-time tracking, enhanced efficiency, and scalability. IoT technologies like RFID, Barcode, and BLE seamlessly integrate with warehouse management systems, automating processes and optimizing space utilization. This innovative approach facilitates accurate decision-making, improves customer service, and supports business growth in a rapidly evolving fulfillment landscape.

Optimize your business operations with a customized asset tracking app. Manage mobile assets in indoor and outdoor spaces using location services, IoT devices, and advanced connectivity standards. Develop tailored solutions for various use cases, including warehouse logistics, outdoor monitoring, and remote healthcare. Harness the power of cloud-based asset management and integrate with the Google Maps platform for dynamic visualization and enhanced fleet optimization. Work with Krasamo’s IoT development professionals to build a comprehensive asset tracking solution tailored to your unique needs.

This paper explores the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in the supply chain. It highlights the benefits of combining AI and IoT, such as increased visibility of assets, reduced costs and downtime, and improved efficiency. The paper also covers the use cases of AI in supply chain management, including warehouse management, supply network risks and predictions, demand forecasting, transportation optimization, and more. By leveraging cloud services, frameworks, and AI platforms, enterprises can build intelligent and autonomous systems that drive supply chain efficiency.

Krasamo specializes in IoT asset tracking solutions, enhancing operational performance by optimizing asset utilization, location monitoring, and condition tracking. Our customized solutions integrate seamlessly with various systems and offer scalability, cost-effectiveness, and advanced features. Krasamo’s IoT engineers help clients build wireless infrastructures tailored to their specific needs, ensuring end-to-end visibility and efficient asset management.

IoT edge computing is a powerful technology that enables efficient data processing and analysis on IoT devices, closer to where the data is generated or used. With IoT devices proliferating across industries, edge computing has become a crucial element of IoT infrastructure. By processing data locally, edge computing reduces latency and increases network bandwidth, making operations more efficient and enabling faster data transmission. This creates optimal scenarios for implementing IoT data analytics and machine learning models. Furthermore, edge computing enables extending cloud services to remote locations, allowing for the deployment of workloads and running services on IoT devices. The design of IoT edge architectures must be interoperable and vendor-neutral, allowing for the handling and connecting of data in various stages to support real-time edge computing applications. With the right infrastructure and tools, enterprises can develop, manage, and deploy IoT device software with ease, unlocking the full potential of IoT edge computing.

Firmware porting helps to mitigate chip shortages by modifying the firmware and adapting it to a new microcontroller (MCU) in a flexible architecture

Real-Time Operating Systems are designed to run on small hardware such as microcontrollers (MCUs) and to build and execute the program (code) in real time.

Wi-Fi for IoT is essential for bringing out the full potential of IoT applications and connected experiences. Learn about IoT wireless connectivity and interoperability.

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IoT device management is about registering, tracking, and monitoring devices at scale in diverse IoT deployments