Thoughts on IoT

Enterprises must keep in mind interoperability and connectivity standards when designing Internet of Things projects. Coexistence of various systems with complex device interrelationships, sensors, multiple protocols and networks.

Matter Smart Home: Reliable Connectivity Standard for IoT Devices

Matter Smart Home: Reliable Connectivity Standard for IoT Devices

The IoT Smart Home market currently offers numerous products that work with various different platforms, protocols, and applications, making the Smart Home setup and maintenance a cumbersome activity that requires effort and time. Therefore, users have been slow in adopting IoT Smart Home products due to decreased satisfaction or frustration produced by the complexities of incompatible protocols, specifications, and stacks.

Mastering IoT Connectivity with Bluetooth Mesh

Mastering IoT Connectivity with Bluetooth Mesh

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.

Designing Low-Power Embedded Systems

Designing Low-Power Embedded Systems

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.

Open Source Home Automation with openHAB

Open Source Home Automation with openHAB

Companies evaluate nearshore vs offshore locations to find a software outsourcing partner to build digital products and find new teams to diversify the sources of its advantages.

Embedded Development with Krasamo

Embedded Development with Krasamo

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.

Mastering IoT Fundamentals: IoT Gateways Overview

Mastering IoT Fundamentals: IoT Gateways Overview

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.

How to Capture Real-Time Data with IoT Sensors

How to Capture Real-Time Data with IoT Sensors

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.

Air Quality Monitoring Systems in Smart Buildings

Air Quality Monitoring Systems in Smart Buildings

Discover cutting-edge air quality monitoring systems for smart buildings that enhance occupant health, comfort, and energy efficiency. Leveraging IoT technology, these systems optimize HVAC and ventilation, ensuring compliance with air quality standards and regulations. Make data-driven decisions for a healthier indoor environment with real-time monitoring applications, customizable sensor networks, and embedded processing. Upgrade your smart building today with advanced air quality monitoring solutions.

Essential IoT Skills for System Development

Essential IoT Skills for System Development

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.

Blockchain for IoT Helps Secure Data and Transactions

Blockchain for IoT Helps Secure Data and Transactions

Blockchain can enhance the security and trust of data and transactions in IoT systems by automating processes, reducing data breaches, increasing transparency, and providing data integrity. Platforms such as IOTA and Hyperledger Fabric offer secure device interactions and support smart contracts and dApps. However, implementing blockchain in IoT systems presents challenges, such as energy consumption, lack of regulation, and governance structures. Blockchain in IoT systems provides a more secure and trustworthy system for various use cases, including healthcare, supply chain, smart cities, and energy management. Creating IoT systems that support private blockchain can enhance data security and transactions.

IIoT-Driven Transformation: Boosting Industrial Efficiency & Innovation

IIoT-Driven Transformation: Boosting Industrial Efficiency & Innovation

This paper discusses the transformative potential of the Industrial Internet of Things (IIoT) in enhancing operational efficiency and reducing expenses in plants and buildings. By leveraging wireless sensors, data collection, analytics, and machine learning, IIoT systems create a competitive advantage through improved interoperability and connectivity. We explore the factors driving IIoT adoption, the benefits it offers, and the different types of IIoT software. The paper also highlights Krasamo’s expertise in IoT consulting services and their comprehensive range of IoT offerings to help enterprises implement and benefit from IIoT systems.

Building Machine Learning Features on IoT Edge Devices

Building Machine Learning Features on IoT Edge Devices

Enhance IoT edge devices with machine learning using TensorFlow Lite, enabling businesses to create intelligent solutions for appliances, toys, smart sensors, and more. Leverage pretrained models for object detection, image classification, and other applications. TensorFlow Lite supports iOS, Android, Embedded Linux, and Microcontrollers, offering optimized performance for low latency, connectivity, privacy, and power consumption. Equip your IoT products with cutting-edge machine learning capabilities to solve new problems and deliver innovative, cost-effective solutions for a variety of industries.

IoT Inventory Management for Multi-Channel Retailers and 3PL Services

IoT Inventory Management for Multi-Channel Retailers and 3PL Services

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 Business Operations with Customized Asset Tracking App

Optimize Business Operations with Customized Asset Tracking App

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.

AI and IoT: Driving Supply Chain Efficiency

AI and IoT: Driving Supply Chain Efficiency

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.

Develop IoT Asset Tracking Solutions with Krasamo

Develop IoT Asset Tracking Solutions with Krasamo

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 Supply Chain Solutions Overview

IoT Supply Chain Solutions Overview

Delve into IoT supply chain solutions for enhanced decision-making, operational performance, and cost savings. This comprehensive overview explores supply chain digitization, IoT applications, and key digital technologies like AI, RPA, and Blockchain. Learn how IoT implementation benefits warehouse management, transportation, asset tracking, and inventory management. Furthermore, understand the role of IoT in predictive analytics, sustainability, and customized app development for supply chain management. Transform your business with innovative IoT solutions to stay ahead in the competitive landscape.

Machine Learning in IoT: Advancements and Applications

Machine Learning in IoT: Advancements and Applications

The Internet of Things (IoT) is rapidly changing various industries by improving processes and products. With the growth of IoT devices and data transmissions, enterprises are facing challenges in managing, monitoring, and securing devices. Machine learning (ML) can help generate intelligence by working with large datasets from IoT devices. ML can create accurate models that analyze and interpret the data generated by IoT devices, identify and secure devices, detect abnormal behavior, and prevent threats. ML can also authenticate devices and improve user experiences. Other IoT applications benefiting from ML include predictive maintenance, smart homes, supply chain, and energy optimization. Building ML features on IoT edge devices is possible with TensorFlow Lite.

Discover the Power of IoT Edge Computing 

Discover the Power of IoT Edge Computing 

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.

Real Time Operating Systems Overview

Real Time Operating Systems Overview

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 Connectivity

Wi-Fi for IoT Connectivity

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.

IoT Device Management

IoT Device Management

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

IoT Device Security: The Big Picture

IoT Device Security: The Big Picture

IoT Device Security market is growing exponentially, and with it comes the demand for IoT security, which may have seemed far away when the technology was new.

IoT Security: Inherent Insecure Nature of IoT Devices

IoT Security: Inherent Insecure Nature of IoT Devices

IoT security is a complex issue because the applications, devices, and protocols used to connect devices vary. Security attacks against IoT devices have become more common and sophisticated, and their consequences have been increasingly severe.

Considerations for Connected Device IoT Solutions

Considerations for Connected Device IoT Solutions

As each new IoT product comes to market and customers begin implementing IoT solutions, the technical challenges to implementing the network grow significantly. By introducing complexity, the impact on IT and operational staff increases, as well.

An Introduction to the New WPA3 Wi-Fi Security Standard

An Introduction to the New WPA3 Wi-Fi Security Standard

In early 2018, Wi-Fi Alliance announced the new WPA3 Wi-Fi security standard. In 2017, the announcement came that WPA2 was vulnerable to an attack called Key Reinstallation Attack (KRACK) and was no longer safe for wireless network connections.

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