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IOT News
VoIP
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115
Image Credit: VoIP
AT&T Phases Out NB-IoT for Efficient LTE-M Transition
- AT&T plans to phase out its NB-IoT network and transition to LTE-M for IoT services.
- The move aims to provide larger data capacity for fixed and mobile devices.
- AT&T believes LTE-M will enable faster data transmission and enhance IoT services.
- The transition is expected to be completed by Q1 of next year.
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6 Likes
TechBullion
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408
Image Credit: TechBullion
Blue Neon Sign to Add a Minimalist and Sleek Look to Your Space
- Blue-neon signs are a trendy addition to minimalist interior design.
- The color blue is associated with calmness and relaxation.
- Neon signs provide a single focal point without cluttering the room.
- They have versatile uses and are energy-efficient with LED technology.
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24 Likes
TechBullion
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71
Image Credit: TechBullion
The Future of IIoT: Stuart Frost on the Evolution of Data Management in Industrial Settings
- The integration of IIoT into industrial environments is a shift towards smarter, more connected operations, and it brings an urgent need to rethink data management and analysis strategies.
- The Industrial Internet of Things (IIoT) is about connecting industrial equipment to the Internet, allowing for real-time data collection and management.
- Sensors, actuators, and communication protocols are the backbone of IIoT. These elements work together to create a seamless system that captures and transmits data.
- Operational efficiency sees a significant uptick with the integration of IIoT. Real-time monitoring and predictive maintenance reduce downtime and extend the lifespan of equipment.
- Industries face significant challenges in managing the massive influx of data generated by IIoT devices, requiring businesses to adapt quickly and effectively.
- Data security in the IIoT realm is not a luxury—it’s a necessity. Industrial data often includes sensitive information, making secure data management imperative.
- Cloud platforms are evolving to meet new demands. Data management technologies offer not just storage solutions, but also the processing capabilities necessary to transform raw data into actionable insights.
- Edge computing brings data processing closer to where it is generated, reducing latency and enhancing overall operational efficiency. This decreases bandwidth usage and lowers operational costs.
- Artificial Intelligence (AI) and Machine Learning (ML) offer enhanced data analytics and predictive maintenance capabilities. AI and ML are powerful allies in mining insights from vast datasets.
- The future of data management in industrial settings, driven by the Industrial Internet of Things, is nothing short of transformative.
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Javacodegeeks
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432
Image Credit: Javacodegeeks
Rust in IoT: Securing the Future of Connected Devices
- The rapid proliferation of IoT devices has exposed vulnerabilities, ranging from poor data encryption to memory-related security breaches.
- Rust, a programming language designed with safety and performance in mind, is increasingly seen as the future of secure IoT development.
- Real-world case studies highlight Rust's effectiveness in securing industrial IoT devices, optimizing smart home systems, and enhancing data security in IoT gateways.
- Best practices for building IoT applications with Rust include using hardware integration libraries, maintaining code quality, following secure coding principles, leveraging concurrency features, optimizing performance, implementing testing, and utilizing Rust's ownership model for memory management.
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VoIP
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285
Image Credit: VoIP
Qualcomm Targets $22B in Automotive & IoT Revenue
- Qualcomm aims to achieve $22 billion annual revenue from automotive and IoT segments by FY29.
- The breakdown foresees $8 billion from automotive and $14 billion from IoT.
- Qualcomm also plans to generate $4 billion in revenue each from its PC and industrial sectors by 2029.
- The company's success in automotive can be attributed to launching classes of technology under the Snapdragon Digital Chassis.
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16 Likes
TechBullion
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276
Image Credit: TechBullion
The Smart Money: Why High-Tech Appliance Repair Trumps Buying New
- Repairing high-tech appliances can be a smarter choice than rushing to replace them with the latest models.
- Smart refrigerators, AI-enhanced washing machines, and IoT-enabled ovens are becoming more complex and advanced, meaning more sophisticated repairs are possible using advanced diagnostic tools than ever before.
- Precision in diagnostics and repair often saves money and extends the life of appliances reducing waste and the environmental impact of manufacturing new units.
- A proactive approach to maintenance, enabled by technology and built-in diagnostic systems, is changing how we think about appliance longevity and the value of repairs.
- Issues like Wi-Fi connectivity problems can often be resolved without replacing the entire unit.
- A good rule of thumb is to consider replacement when repair costs exceed 50% of the price of a new, more energy-efficient model.
- In conclusion, the rise of smart home technology has revolutionized how our appliances function, as well as how we approach their maintenance and repair.
- By leveraging advanced diagnostic tools, embracing software updates, and understanding the complex systems in modern appliances, consumers can often extend the life of their high-tech household helpers significantly.
- This approach not only saves money but also reduces environmental impact – a crucial consideration in our increasingly eco-conscious world.
- Repairing appliances, instead of replacing them, might just be the smartest choice you can make.
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16 Likes
Currentanalysis
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209
Image Credit: Currentanalysis
Critical Industries Going Digital Requires Critical Technology Ecosystem
- Critical industries like defense, emergency services, and transportation are embracing digital technologies.
- Companies like Motorola Solutions are shifting focus towards software and services, offering video analytics, workflow automation, and integrated command center platform solutions.
- Streamwide, a company focused on digital critical communications, provides customizable software widgets, integration with IoT platforms, and core VoIP communications platform with added services like multi-party video chats and drone/IoT integrations.
- As critical industries adopt digital solutions, there is a need for improved broadband infrastructure, privacy/security measures, and collaboration between cloud platform providers, telco operators, and critical communications providers.
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Ubuntu
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317
Image Credit: Ubuntu
EdgeIQ and Ubuntu Core; bringing security and scalability to device management
- EdgeIQ and Canonical have announced the release of the EdgeIQ Coda snap and official support of Ubuntu Core on the EdgeIQ Symphony platform.
- EdgeIQ Coda acts as an intelligent agent on IoT and edge compute devices, enabling device fleet management, software updates, configuration changes, and device health monitoring.
- By integrating EdgeIQ Coda as a snap on Ubuntu Core, organizations benefit from simplified deployment and management of IoT devices, enhancing scalability, security, and operational efficiency.
- Ubuntu Core's secure and immutable architecture, combined with EdgeIQ's device lifecycle management capabilities, offers a powerful solution for managing connected devices at the edge.
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19 Likes
Medium
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160
Image Credit: Medium
DIY Bluetooth Gaming Controller: A Fun Project with ESP32
- This DIY Bluetooth gaming controller project utilizes an ESP32 development board and an MPU6050 sensor for tracking hand movements and control inputs.
- Optional TFT display provides feedback, and the system is powered by USB or external 5V supply.
- Bluetooth connectivity allows interaction with external devices, while real-time data is sent for gaming or application use.
- Future plans include exploring improved sensor accuracy and enhanced interactivity for this Bluetooth gaming controller.
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9 Likes
TechBullion
4w
192
Image Credit: TechBullion
The Future of IoT: Connecting Everything Insights from Expert Glenn Lurie
- The Internet of Things (IoT) has revolutionized the way industries and urban environments adopt this transformative technology, connecting everyday objects to the internet and enabling seamless communication between devices.
- Glenn Lurie played a crucial role in the proliferation of smart home technologies during his time at AT&T, laying the groundwork for the rapid expansion of all things IoT and smart home ecosystems.
- Smart homes represent the earliest and most visible application of IoT technology, equipped with devices that enable homeowners to automate and control various functions, such as lighting, temperature, and security.
- Smart energy systems optimize power usage, reducing waste and lowering utility bills, while security systems enhance safety through real-time monitoring and alerts, offering peace of mind to homeowners.
- As IoT evolves, its impact extends beyond individual homes to entire urban landscapes, creating smart cities that optimize infrastructure, improve public services, and enhance the quality of life for their residents.
- The healthcare sector has seen significant benefits from IoT, particularly in the area of remote patient monitoring, where wearable devices collect data on vital signs, providing real-time insights to healthcare providers.
- IoT is driving the fourth industrial revolution, characterized by the integration of IoT in manufacturing processes, leading to increased automation, predictive maintenance, and enhanced quality control.
- Data security and privacy concerns in IoT are increasing, organizations deploying IoTsolutions must ensure compliance to avoid legal repercussions and maintain consumer trust.
- The ongoing rollout of 5G and then 6G networks promises to revolutionize IoT by providing faster data transmission, lower latency, and the ability to connect more devices simultaneously.
- Leaders like Glenn Lurie will continue to play a pivotal role in guiding IoT evolution and ensuring that IoTremains a force for progress and positive change.
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11 Likes
Siliconangle
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Image Credit: Siliconangle
BrightAI raises $15M for its AI-powered infrastructure optimization platform
- BrightAI Inc. has raised $15 million in seed funding.
- The startup, founded by CEO Alex Hawkinson, offers an AI-powered platform for optimizing infrastructure.
- The platform uses AI models to process data from sensors and devices to streamline operations and detect equipment failures.
- BrightAI also provides complementary hardware products, including cameras and sensors, to assist in data collection and analysis.
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22 Likes
Dev
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Image Credit: Dev
I created a Realtime Voice Assistant for my ESP-32, here is my journey - Part 1 : Hardware, PlatformIO & C++
- This article discusses the hardware and C++ implementation of building a real-time voice assistant using an ESP32 microcontroller. The project merges the worlds of embedded systems and modern AI to create a responsive and intuitive user experience. The C++ implementation focuses on buffer handling, speaker output, microphone handler and button handling. The ESP32 serves as the hub for audio input and output, while a Node.js server handles WebSocket communication for real-time data transfer between the ESP32 and the server. The complete source code is available on Github.
- To bring this project to life, you will need an ESP32-S3 Development Board, an I²S Digital Microphone, an I²S Amplifier, a Small Speaker, a Push Button, Resistors, Jumper Wires, Breadboard and Soldering Equipment. The author explains the hardware setup and implementation in detail and costs less than $40.
- Before setting up the code, it is recommended to use PlatformIO, a powerful open-source ecosystem for IoT development. The author provides a step-by-step guide to building and uploading the code to ESP32 and also troubleshooting tips.
- The article also discusses potential improvements and future steps such as optimizing buffer sizes, enhancing error handling, integrating LEDs for status indication, adding more interactive inputs, and connecting the esp32 to an AI backend. The next phase is to connect our device to an AI backend with Node.js server powered by LangChain and OpenAI to interpret voice commands and generate intelligent responses, which will be part of the second article in the series.
- The article concludes by sharing related projects such as Open Interpreter ESP32 Client and provides additional resources for further learning.
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21 Likes
Ubuntu
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Image Credit: Ubuntu
Canonical provides the ideal platform for Microsoft Azure IoT Operations
- Canonical collaborated with Microsoft to test Microsoft Azure IoT Operations on Ubuntu Core and Kubernetes.
- Azure IoT Operations provides improvements in node data capture, edge-based telemetry processing and cloud-ingress.
- Azure IoT Operations is a critical component of Azure’s adaptive cloud approach, which integrates hybrid, multicloud, edge and IoT environments.
- Organisations building IoT with Canonical’s solutions can take full advantage of the new Azure capabilities straight out-of-the-box to start enhancing their IoT ecosystems.
- Companies using Ubuntu’s IoT infrastructure platform can now access Azure IoT Operations to communicate across an entire fleet and beyond into the Azure cloud.
- Azure IoT Operations is built on Kubernetes, and the reference platform for Kubernetes is Ubuntu.
- Ubuntu Core provides a minimal and immutable deployment environment with support for multiple architectures and types of devices.
- The security of Ubuntu Core and the robust operations of Azure IoT Operations provide consistency and ease of deployment not available with other alternatives.
- Azure IoT Operations captures data from a range of devices and systems and processes them in near real-time, using industry standards like MQTT, OPC-UA and OpenTelemetry.
- Ubuntu and Ubuntu Core can be coupled with Canonical’s Long Term Support offering through Ubuntu Pro to provide long-term maintenance and security updates.
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21 Likes
Dev
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Image Credit: Dev
Combining OpenAI and AI-Flex (from t6 IoT) to Customize Sensor Outputs
- AI-Flex is a feature within t6 IoT that integrates OpenAI's language understanding capabilities.
- It allows users to refine and add context to raw sensor data for smarter workflows.
- It supports processing text, integers/floats, and booleans for data enrichment and automation.
- AI-Flex enables users to customize actions based on the processed data, improving decision-making and automation accuracy.
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16 Likes
Pymnts
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Image Credit: Pymnts
Meta Launches AI-Powered Ray-Bans for Users in Europe
- Meta AI has launched its Ray-Ban smartglasses in France, Spain, Ireland, and Italy.
- Users can now ask questions and receive real-time answers and information in multiple languages.
- Features that rely on Meta AI's ability to answer questions about what the user can see are only available in the U.S., Canada, and Australia.
- Meta plans to expand the sale of the glasses to other parts of the European Union soon.
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15 Likes
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