#Sigfox

[rfantennaindia]

5G 12dBi Magnetic Antenna with RG174 Cable

A 5G 12dBi magnetic antenna is a type of antenna designed to enhance the performance of 5G wireless communication devices, such as routers, hotspots, or modems. Let's break down the key features:

5G: 5G is the fifth generation of wireless technology, which offers faster data speeds, lower latency, and greater capacity compared to previous generations (4G, 3G, etc.). The antenna is specifically designed to work with 5G networks and devices.

12dBi Gain: The "12dBi" figure refers to the antenna's gain, which is a measure of how much the antenna can increase the power of the signal it receives or transmits. A higher gain indicates better signal reception and transmission capabilities. In this case, a 12dBi gain suggests that this antenna can significantly boost the signal strength.

Magnetic Antenna: The term "Magnetic Antenna" indicates that the antenna can be attached to metal surfaces using a magnetic base. This feature provides flexibility in terms of placement and allows for easy positioning on metallic surfaces, like the roof of a car or a metal housing for a 5G device.

Magnetic antennas are often used in mobile applications or in scenarios where temporary or flexible mounting is required. This type of antenna is convenient because it can be easily installed and removed, making it suitable for mobile installations or where drilling holes or more permanent mounting solutions are not practical.

[internet-de-las-cosas]

¿Qué es más recomendable, LoRa o Sigfox? Estas son las ventajas y las desventajas... https://internetdelascosas.xyz/articulo.php?id=1519

[g-nicerf]

Multi-Band Coverage Satellite Communication Module: Flexibly Adapting to Multiple Application Scenarios

The LoRa1121 module utilizes SEMTECH's LR1121 chip, an ultra-low-power, long-range transceiver that supports both global ISM band and 2.4GHz communication. The LoRa1121 supports LoRa and (G)FSK modulation in the Sub-GHz and 2.4GHz bands, as well as Sigfox® modulation in the Sub-GHz band, and long-range frequency hopping spread spectrum (LR-FHSS) in the Sub-GHz, 1.9-2.1GHz, and 2.4GHz ISM bands. The LR1121 complies with the physical layer requirements of the LoRaWAN® specifications released by the LoRa Alliance®, while remaining highly configurable to meet the needs of various applications and proprietary protocols.

Sub-GHz (150-960 MHz)

Frequency Range: Supports 433/470/868/915 MHz, and can be customized for frequencies between 150 and 960 MHz.

LoRa Modulation Rate: In the Sub-GHz band, the LoRa modulation rate ranges from 0.091 Kbps to 62.5 Kbps. Although the modulation rate is relatively low, LoRa's long-range transmission and strong anti-interference capabilities enable stable communication even at low bandwidths. 

FSK Modulation Rate: The FSK modulation rate ranges from 0.6 Kbps to 300 Kbps. FSK modulation offers a higher modulation rate, suitable for applications requiring faster data transmission, though its transmission distance is shorter, making it appropriate for local data transmission. 

Main Advantages: The Sub-GHz band excels in long-distance communication with a receiving sensitivity of up to -144 dBm @ BW=62.5 KHz, SF=12. It maintains efficient reception even at very low signal strengths, greatly enhancing the reliability of long-distance communication. The Sub-GHz band offers strong penetration and long-distance coverage capabilities.

S-Band (1.9 GHz - 2.2 GHz)

Frequency Range: 1900 MHz to 2200 MHz, covering satellite communication bands.

LoRa Modulation Rate: In the S-band (1900 MHz to 2200 MHz), the LoRa modulation rate ranges from 0.292 Kbps to 87.5 Kbps. Compared to the Sub-GHz band, the S-band LoRa modulation rate is slightly higher, making it particularly suitable for satellite communication and remote coverage applications, while maintaining long communication distances and low power consumption.

Main Advantages: The S-band is designed specifically to support satellite communication, suitable for long distances and scenarios with no ground network coverage. It has a receiving sensitivity of up to -132 dBm @ BW=125 KHz, SF=12. With high sensitivity, it maintains effective communication even at lower signal strengths, making it ideal for long-distance satellite links.

2.4 GHz Band

Frequency Range: 2400–2500 MHz, a globally used ISM band. LoRa Modulation Rate: In the 2.4 GHz band, the LoRa modulation rate ranges from 0.476 Kbps to 87.5 Kbps. This band supports higher transmission rates and maintains good stability over short distances, making it suitable for applications with relatively large data volumes. Main Advantages: This band supports higher data transfer rates, suitable for high-speed communication needs over short to medium distances, and is legally usable worldwide, ensuring good compatibility.

LR-FHSS (Long Range Frequency Hopping Spread Spectrum) Applicable Bands: Sub-GHz, S-Band, 2.4 GHz

LR-FHSS Technology: By hopping between multiple frequencies, LR-FHSS significantly enhances the system's resistance to interference and extends transmission distances. In the Sub-GHz, S-Band, and 2.4 GHz bands, LR-FHSS notably improves the stability and range of data transmission.

Communication Protocol Support

Supported Protocols: Supports Sigfox protocol and LR-FHSS (LoRa Time-Frequency Hopping Spread Spectrum Technology). These technologies and protocols further enhance communication interference resistance and device connectivity. LoRaWAN Protocol: The LoRa1121 supports the LoRaWAN communication protocol, functioning as a LoRaWAN node for integration into existing LoRaWAN networks, providing reliable and flexible IoT connectivity solutions.

Characteristics of Sub-GHz Wireless Communication

Sub-GHz wireless communication operates at frequencies below 1 GHz and offers several advantages, including long-distance transmission, low power consumption, lower frequency congestion, and strong penetration capabilities. It is widely used in various applications.

Long-Distance Transmission: Sub-GHz signals have favorable propagation characteristics, allowing them to penetrate obstacles such as walls and vegetation. Consequently, under similar power conditions, the transmission distance is typically greater than that of higher frequency bands like 2.4 GHz, making it suitable for applications requiring wide-area coverage.

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[marketing-technology]

An In-Depth Exploration of IoT Connectivity Technologies and Their Uses

Discover the top IoT connectivity technologies and their applications in this detailed guide. Learn how to select the right technology for your needs.

Imagine a world where everyday objects communicate seamlessly to enhance the efficiency and convenience of our lives. The Internet of Things (IoT) has revolutionized how we interact with technology. By 2030, it's projected there will be over 32.1 billion IoT devices globally, nearly doubling from 15.9 billion in 2023. Examples include smart home appliances that adjust the temperature upon entry and wearable fitness trackers that continuously monitor health. These devices connect and exchange data thanks to IoT networking technologies. Let's explore these technologies further.

What Are IoT Connectivity Technologies?

IoT connectivity technologies encompass the various methods and protocols used to connect IoT devices to the internet or each other. These technologies enable communication, data transfer, and control for IoT devices, with over 29 billion connections anticipated by 2027.

Why Is IoT Connectivity Important?

The choice of IoT connectivity technology significantly impacts the performance, cost, and scalability of your IoT solution. High-speed, ultra-low latency connectivity is crucial for some applications, making 5G or 4G cellular IoT connectivity ideal despite higher costs and power usage. Conversely, simpler deployments might benefit from low-speed connections, which are more cost-effective and require less power.

Top 5 IoT Connectivity Technologies and Their Applications

Cellular Networks Cellular networks, essential in daily life for phones and tablets, provide wide coverage, reliability, and enhanced security. They are ideal for mobile IoT systems and serve as alternatives to LPWAN technologies like Sigfox and LoRaWAN.

Use Cases:

Point of Sale and Kiosks: Enables vending machines and kiosks to operate without Wi-Fi, expanding retail opportunities.

Delivery Tracking: Provides real-time shipment tracking across diverse environments, including remote or mobile scenarios.

High Data Rate Cellular (3G/4G/LTE/5G) With high Mbps speeds, these networks suit data-intensive IoT applications, mobile devices, and real-time video streaming. They support "massive IoT" deployments, connecting thousands of devices across large areas.

Use Cases:

Fleet Management: Real-time tracking optimizes operations, enhancing route planning and fuel efficiency.

Health Monitoring: Continuous health data transmission from wearables to healthcare providers ensures prompt intervention.

Ethernet Ethernet offers a reliable, low-latency wired connection, ideal where infrastructure is in place. It provides stable performance unaffected by physical barriers, suitable for stationary IoT devices.

Use Cases:

Security Cameras: Ensures uninterrupted video surveillance in homes or businesses.

Game Systems: Minimizes latency for gamers seeking reliable network performance.

Stationary Medical Devices: Facilitates real-time data transmission from medical equipment to centralized systems.

Wi-Fi Common in homes and offices, Wi-Fi supports secure, high-bandwidth connectivity within a limited range. It's ideal for localized IoT ecosystems where devices are confined to a specific area.

Use Cases:

Smart Gadgets: Integrates smart devices like TVs and appliances into home networks.

Digital Signage: Enables content updates and management in commercial settings.

Bluetooth Bluetooth excels in connecting small, battery-powered devices within short ranges, typically up to 30 feet. It offers low energy consumption, widely used in consumer electronics and small-scale IoT deployments.

Use Cases:

Smartwatches/Fitness Trackers: Syncs health data to smartphones, facilitating mobile monitoring.

Bluetooth Low Energy Sensors: Collects and transmits data from sensors in homes or small businesses.

These technologies cater to diverse IoT needs, each offering unique advantages in range, bandwidth, power efficiency, and scalability. The right choice depends on specific application requirements and environmental considerations.

Essential Requirements for Your IoT Connectivity Solution

Each use case has specific requirements translating into particular technology needs:

Technical Requirements: Consider data speed, latency, range, power consumption, and network coverage. High-speed applications might require advanced cellular technologies, while low-power long-range deployments might favor LPWAN solutions.

Commercial Requirements: Costs include initial setup and ongoing operational expenses. Technologies with lower power needs and simpler infrastructure can reduce costs, ideal for large-scale deployments.

Ecosystem Requirements: Compatibility with existing systems, availability of support and development resources, and integration with future technologies are crucial considerations.

Factors to Consider When Choosing IoT Connectivity Technology

Selecting the most suitable connectivity technology involves a careful assessment of each deployment’s characteristics. This strategic decision affects the immediate performance and cost-efficiency of your service and its long-term scalability and future-proofing.

Conclusion

The field of IoT connectivity technologies holds great promise. The IoT ecosystem evolves daily with advancements in low-power protocols, wireless networks, and emerging technologies. Significant advancements in connectivity technology, such as the implementation of 5G networks, will offer extremely low latency and fast speeds, facilitating seamless communication and new possibilities for real-time applications.

[fernando-arciniega]

El Internet de las Cosas (IoT): Conectando el Mundo en una Red Inteligente

¿Qué es el Internet de las Cosas (IoT)? El Internet de las Cosas, conocido como IoT por sus siglas en inglés (Internet of Things), se refiere a la interconexión de dispositivos físicos a través de Internet. Estos dispositivos, equipados con sensores, software y otras tecnologías, pueden conectarse e intercambiar datos con otros dispositivos y sistemas a través de la red. Desde electrodomésticos inteligentes hasta sistemas de seguridad y dispositivos médicos, el IoT abarca una amplia gama de aplicaciones que mejoran nuestra vida cotidiana y optimizan procesos industriales y comerciales. La Historia y Evolución del IoT La idea de dispositivos conectados no es nueva; sin embargo, ha sido en las últimas dos décadas cuando el IoT ha tomado impulso gracias a los avances en la tecnología de comunicación, la miniaturización de componentes y el aumento de la capacidad de procesamiento. Kevin Ashton acuñó el término "Internet of Things" en 1999 mientras trabajaba en Procter & Gamble, pero no fue hasta la llegada de la conectividad Wi-Fi y las redes móviles de alta velocidad que el IoT comenzó a materializarse en aplicaciones prácticas. ¿Cómo Funciona el IoT? El funcionamiento del IoT se basa en la comunicación entre dispositivos equipados con sensores que recopilan datos del entorno y envían esta información a una plataforma central. Esta plataforma procesa y analiza los datos, permitiendo a los dispositivos tomar decisiones informadas y realizar acciones específicas. Por ejemplo, un termostato inteligente puede ajustar la temperatura de una casa basándose en las preferencias del usuario y las condiciones meteorológicas externas. El funcionamiento del IoT se basa en la interacción entre tres elementos principales: 1. Dispositivos IoT: Estos son los objetos físicos equipados con sensores, microcontroladores y conectividad a internet. Pueden ser desde electrodomésticos inteligentes hasta dispositivos portátiles para la salud. 2. Conectividad: Los dispositivos IoT se conectan a internet a través de diversas redes, como Wi-Fi, Bluetooth, LTE o redes de baja potencia como Sigfox o LoRaWAN. 3. Plataformas IoT: Estas plataformas en la nube se encargan de recopilar, almacenar y analizar los datos generados por los dispositivos IoT. También permiten gestionar y controlar los dispositivos de forma remota. ¿Cuáles son los beneficios del IoT? El IoT ofrece una amplia gama de beneficios para diferentes sectores: Para individuos: - Mayor comodidad y eficiencia en el hogar: Controlar luces, electrodomésticos y sistemas de seguridad a distancia, optimizar el uso de energía, recibir alertas de seguridad, etc. - Mejora en la salud y el bienestar: Monitorear signos vitales, recibir recordatorios de medicamentos, acceder a servicios de salud a distancia, etc. - Entretenimiento personalizado: Recomendaciones de contenido basadas en preferencias, control de dispositivos de audio y video a distancia, etc. Para empresas: - Optimización de la cadena de suministro: Rastreo de activos en tiempo real, control de inventarios, gestión eficiente del transporte y la logística, etc. - Mejora de la eficiencia operativa: Automatización de tareas, reducción de costos, aumento de la productividad, etc. - Desarrollo de nuevos productos y servicios: Creación de productos inteligentes y personalizados, análisis de datos para la toma de decisiones, etc. Para ciudades: - Gestión inteligente del tráfico: Reducción de la congestión vehicular, optimización del tiempo de respuesta a emergencias, etc. - Alumbrado público inteligente: Ahorro de energía, mayor seguridad, etc. - Gestión eficiente de residuos: Optimización de la recolección de residuos, reducción del impacto ambiental, etc. Aplicaciones del IoT en la Vida Cotidiana - Hogar Inteligente: Los dispositivos IoT permiten la automatización del hogar, mejorando la comodidad y la eficiencia energética. Desde luces que se encienden y apagan automáticamente hasta sistemas de seguridad que se pueden controlar desde un smartphone, el IoT hace que nuestros hogares sean más inteligentes y seguros. - Salud y Bienestar: Los dispositivos médicos conectados, como monitores de glucosa y pulseras de actividad física, permiten a los pacientes y profesionales de la salud realizar un seguimiento continuo de la salud, mejorando la atención y la prevención de enfermedades. - Ciudades Inteligentes: Las ciudades están adoptando el IoT para gestionar mejor los recursos y servicios públicos. Los sensores en el alumbrado público, los sistemas de gestión del tráfico y los contenedores de basura inteligentes son solo algunos ejemplos de cómo el IoT puede mejorar la eficiencia y reducir costos en las áreas urbanas. Retos y Consideraciones del IoT A pesar de sus numerosos beneficios, el IoT presenta varios desafíos, incluyendo: - Seguridad: Con más dispositivos conectados, la seguridad cibernética se convierte en una preocupación crítica. Es esencial proteger los datos personales y garantizar que los dispositivos no sean vulnerables a ataques. - Privacidad: La recopilación masiva de datos plantea cuestiones sobre la privacidad. Es crucial establecer regulaciones y prácticas que protejan la información de los usuarios. - Interoperabilidad: La diversidad de dispositivos y plataformas requiere estándares comunes para asegurar que todos los componentes del IoT puedan comunicarse y funcionar juntos de manera efectiva. - Seguridad y privacidad: La gran cantidad de datos generados por los dispositivos IoT los convierte en un objetivo atractivo para los ciberdelincuentes. Es crucial implementar medidas de seguridad adecuadas para proteger estos datos y la privacidad de los usuarios. - Estandarización: La falta de estándares universales en la comunicación y los protocolos de los dispositivos IoT puede dificultar la interoperabilidad entre diferentes plataformas y dispositivos. - Competencia y fragmentación del mercado: La gran cantidad de empresas que desarrollan dispositivos y plataformas IoT puede generar un mercado fragmentado, lo que dificulta la elección de soluciones para los usuarios. El Futuro del IoT El futuro del IoT es prometedor, con el potencial de transformar diversos sectores, incluyendo la industria, el transporte, la agricultura y la energía. La implementación de redes 5G y la inteligencia artificial impulsarán aún más el crecimiento del IoT, permitiendo una conectividad más rápida y una mayor capacidad de procesamiento de datos. En resumen, el Internet de las Cosas está cambiando la forma en que interactuamos con el mundo, creando un entorno más conectado y eficiente. A medida que superamos los desafíos de seguridad, privacidad e interoperabilidad, el IoT continuará expandiéndose y mejorando nuestra calidad de vida y productividad en innumerables formas. Read the full article

[amandajohn]

Beyond the Eiffel Tower: France's Emerging AI Powerhouses

AI is visibly taking the world by storm. It has opened numerous possibilities that were hitherto non-existent. Different countries are making progress in various directions and soon, many scenarios are set to change. France has emerged as a significant player in the global AI landscape with numerous companies doing commendable innovative work.

For those who are looking for a list of dependable companies offering efficient AI solutions, we have compiled a list that will be useful for repeated reference. We have tried to keep the content unbiased so that the reader can make an informed decision. Here are 10 leading French AI companies, along with their areas of expertise and impact:

Sigfox: Working on Low-Power Wide-Area Networks (LPWAN) technology, Sigfox's AI solutions focus on optimizing network performance, analyzing sensor data for insights, and predicting equipment failures. This promises increased efficiency and cost savings in applications like smart cities, logistics, and industrial IoT.

Collibra: A leader in data governance, Collibra assists organizations to manage their data effectively. Their AI-powered solutions automate data cataloging, lineage tracking, and access control. This ensures data quality, facilitates compliance, and enables data-driven decision-making across industries.

Vee Technologies: Vee Technologies is a major name in the field of seamless integration of AI, particularly Machine Learning, to optimize business processes and streamline operations for maximum profitability. Vee Technologies provides efficient and accurate data analysis, predictive modeling, and automation solutions across various sectors like healthcare, manufacturing, and logistics. Their expertise extends to Natural Language Processing and computer vision applications as well.

Datadog: A cloud monitoring and security platform, Datadog integrates AI to streamline infrastructure management. Their AI-powered anomaly detection helps identify performance issues proactively, enabling faster troubleshooting and improved system uptime. This translates to better user experience and cost optimization for businesses relying on cloud services.

Idemia: A global leader in identity and security solutions, Idemia utilizes AI for facial recognition, document verification, and fraud detection. They develop AI-powered solutions for secure access control in airports, border crossings, and other sensitive environments. Idemia also contributes to secure payment solutions with AI-based anomaly detection.

ViaSense: This company specializes in video content analysis using AI. ViaSense develops solutions for traffic management, crowd analysis, and anomaly detection in video surveillance systems. Their AI helps optimize traffic flow, improve public safety, and enhance urban planning efforts.

Alan: This French health insurance company utilizes AI to streamline healthcare administration. Alan's AI-powered chatbot supports members with administrative tasks, symptom analysis, and doctor searches. They also use AI to automate claims processing and fraud detection, resulting in a faster and more efficient healthcare experience for users.

Ynsect: Focused on predictive maintenance, Ynsect leverages AI to analyze sensor data from industrial machinery. Their AI algorithms predict equipment failures, allowing for preventive maintenance and minimizing downtime. This results in cost savings for businesses and increased operational reliability.

Voleon: A leader in supply chain management, Voleon leverages AI for demand forecasting, inventory optimization, and logistics planning. Their AI-powered solutions streamline supply chains, reduce waste, and ensure timely product deliveries. This translates to increased efficiency and profitability for businesses in various sectors.

Shift Technology: This company specializes in fraud detection for insurance companies. Shift Technology uses AI to analyze insurance claims data and identify fraudulent activity. Their AI algorithms can detect anomalies in claims patterns and help insurers prevent financial losses.

Beyond the Top 10

This list is an attempt to help you with preliminary shortlisting based on the kind of solution you are looking for. However, the French AI landscape extends beyond this list. Numerous other companies are making significant contributions in areas like natural language processing, computer vision, and robotics. This thriving ecosystem is fueled by government initiatives, research collaborations, and a growing pool of skilled AI talent.

Factors Driving France's AI Success

Several factors contribute to France's rise as an AI powerhouse:

Strong Research Base: France boasts a well-established network of research institutions and universities fostering AI research. This academic foundation provides a steady stream of talent and innovation.

Government Support: The French government actively supports AI development with funding initiatives, tax breaks, and public-private partnerships. This creates an environment conducive to AI research and commercialization.

Focus on Ethics: France emphasizes ethical considerations in AI development. This focus ensures responsible AI solutions that benefit society while mitigating potential risks.

The Future of French AI

France is poised to continue being among the pioneers in the global AI landscape. With a strong research base, government support, and a commitment to responsible development, French AI companies are well-positioned to tackle future challenges across various sectors. As AI continues to evolve, France has the potential to become a global hub for ethical and impactful AI solutions.

Conclusion

France's AI ecosystem isn't limited to these ten players. A multitude of other companies are pushing boundaries in areas like natural language processing, computer vision, and robotics. This vibrant landscape is fueled by a strong research base, active government support, and a focus on ethical development.

Looking ahead, France is well-positioned to maintain its leadership role in the global AI landscape. With its commitment to responsible innovation, France has the potential to become a global hub for AI solutions that not only drive efficiency and progress but also address societal needs thoughtfully and ethically. The future of AI is undoubtedly bright, and France stands firmly as a major force shaping that future.

[4x4community]

Tank Gauge Plus Remote - Sigfox + Bluetooth

Forum: The 4x4 Pub Posted By: Eben Post Time: 2023/11/11 at 09:36 AM http://dlvr.it/SyhT10

[macnman-techno]

What are the main differences between SigFox and LoRa technologies?

SigFox and LoRa are two distinct technologies used in the realm of the Internet of Things (IoT) for long-range, low-power wireless communication. Here are the key distinctions between SigFox and LoRa technologies:

Communication Protocol:

SigFox: SigFox employs a unique communication protocol and its own network infrastructure, operating on unlicensed ISM bands and utilizing a star network topology.

LoRa: LoRa (Long Range) uses chirp spread spectrum modulation and adheres to open standards, allowing for more versatile network deployments, including star-of-stars and mesh configurations.

Coverage:

SigFox: SigFox is recognized for its expansive coverage, often spanning entire regions or even countries, offering a broad geographic reach.

LoRa: LoRa's coverage is typically more adaptable and localized, with the capability to cover distances ranging from a few kilometers to over 15-20 kilometers, making it suitable for both urban and rural areas.

Data Rate:

SigFox: SigFox provides very low data rates, typically around 100 bps (bits per second), suitable for transmitting small, sporadic messages or sensor data.

LoRa: LoRa supports higher data rates, with transmission speeds ranging from 300 bps to 37.5 kbps, offering greater versatility for a wide range of IoT applications.

Power Consumption:

Both SigFox and LoRa are designed with low-power consumption in mind, but the actual power usage may vary based on specific devices and application scenarios. Generally, they are both energy-efficient technologies.

Ecosystem and Standards:

SigFox: SigFox operates its own network infrastructure, which can limit customization and scalability. It constitutes a more closed ecosystem with fewer options for adaptability.

LoRa: LoRa is built on open standards, permitting greater flexibility in constructing and adapting networks. There are multiple LoRaWAN network operators and a wider array of LoRa-compatible devices and gateways.

Licensing and Costs:

SigFox: The cost structure for SigFox services may encompass subscription fees, which can vary depending on usage and geographic location.

LoRa: LoRa networks can be deployed by various providers, and costs can vary, but there is generally more flexibility in choosing service providers and pricing models.

Scalability:

SigFox: SigFox networks are highly scalable and suitable for large-scale deployments with minimal infrastructure requirements.

LoRa: LoRa networks are also scalable and can be tailored to accommodate diverse deployment sizes, from small-scale applications to extensive IoT projects.

In summary, both SigFox and LoRa are suitable for specific IoT applications, but their differences in network architecture, data rates, and coverage make them better suited for distinct use cases. SigFox may be preferred for applications demanding extensive coverage and ultra-low power usage, while LoRa offers greater flexibility in terms of data rates and network adaptability. The choice between the two hinges on the specific needs of the IoT project.

[chandupalle]

Industry 4.0 Market Size, Share, Industry Trends & Growth Drivers 2030

The global industry 4.0 market size is projected to USD 165.5 billion by 2026 from USD 73.9 billion in 2022 at a compound annual growth rate (CAGR) of 20.6% during the forecast period. It was observed that the growth rate was 39.12% from 2021 to 2022. AI in Manufacturing is expected to grow at a highest CAGR of 49.07%.

The primary driving factor of the industry 4.0 market are increasing adoption of automated equipment and tools on manufacturing, warehouse, and factory floors, rising investment towards additive manufacturing, and emergence of digital technologies such as IoT, AI, ML, cloud services, 5G and many more, which in turn, is expected to create sizable demand for the industry 4.0 industry.

Industry 4.0 Industry Ecosystem

Different types of technologies together make up the industry 4.0 ecosystem; these include AI in Manufacturing, Industrial Sensors, Industrial Robots, Machine Vision, Human Machine Interface, Digital Twin, Machine Condition Monitoring, Industrial 3D Printing, and Automated Guided Vehicles. There has been an increased in demand for computers, monitors, and network peripherals, and other wireless connectivity solutions in last couple of years and it is proving to be a pivoting point for digital adoption in the industrial as well commercial sectors. Consumer are realizing the benefits of Industry 4.0 and thus its is witnessing an exponential industry 4.0 market growth.

North America is projected to grow at highest rate in the industry 4.0 market Share

 North America is the fastest growing regions in this market due to the continuous technological advancements, financial support from governments in the region, and efforts to ensure real-time quality control and real-time visibility across the manufacturing sector.  The US has a large industrial base featuring companies with high production capacity; it is thus expected to be the major contributor to the industry 4.0 market in North America.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=102536746

Top Industry 4.0 Companies - Key Market Players

The industry 4.0 players have implemented various types of organic as well as inorganic growth strategies, such as new product launches,  and acquisitions to strengthen their offerings in the market. The major players in the industry 4.0 market are  General Electric(US), Siemens (Germany), Honeywell International (US), ABB (Switzerland), Emerson Electric (US), 3D Systems (US), Advantech (Taiwan), Basler (Germany), Cisco Systems (US), Cognex Corporation (US), Daifuku (Japan), IBM (US), Intel (US), John Bean Technologies Corporation (US), Nvidia (US), Stratasys (Israel), Techman Robot (Taiwan), Universal Robots (Denmark), Addverb Technologies (India), AIBrain (US), Algolux (Canada), Beckhoff Automation (Germany),  BigchainDB GmbH (Germany), LogiLube (US), Pratiti Technologies (India), Sculpteo (France), Sigfox(France)

About MarketsandMarkets™

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The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem.Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research.The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry. To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.

[rfantennaindia]

IoT LoRa Screw Mount Duck Type Antenna Manufacturers

ETEILY make LoRa Antenna's are high-performance, high gain, best quality. Eteily provides LoRa Antenna for External, Internal and outdoor gateway's. LoRa Antenna frequency includes 915MHz, 868MHz, 433MHz, 410MHz, 865MHz, etc. We provide  LoRa LPWAN Gateway Antenna, Helium Minor Antenna all over the world.

IoT LoRa LPWAN antennas are designed to enable long-range communication with IoT devices using the LoRaWAN protocol. LoRaWAN antenna helium technology is designed for low-power, long-range communication, and LoRaWAN is one of the most popular LPWAN protocols.

Download Catalogues

High gain IoT antenna is a critical component of an IoT LoRa LPWAN system, as it is responsible for transmitting and receiving signals to and from the IoT devices. Best LoRa antenna typically operates at the Industrial, Scientific, and Medical (ISM) frequency bands, which are unlicensed frequency bands, and has a range of several kilometers. We are also manufacturer and suppliers of RF antenna in Delhi, Mumbai, Chennai, Hyderabad, Pune, Bangalore, Kolkata and Ahmadabad.

[ramjaju]

What is Sigfox in IoT, and what is it used for?

Sigfox is an Internet of Things (IoT)-focused low-power, wide-area network (LPWAN) solution. It allows for low-power wireless connections between devices over vast distances. Asset tracking, smart agriculture, and industrial monitoring are just a few of the applications that can benefit from Sigfox's famed simplicity, affordability, and applicability. Devices using Sigfox modules may send little amounts of data on a frequent basis, which makes them perfect for applications where low data rates and extended battery life are essential. The technology offers connectivity solutions for a wide range of sectors and use cases, which expands its usability for widespread IoT deployments.

[g-nicerf]

New Product: LR-FHSS Long-Range Frequency Hopping Spread Spectrum SUB-GHz and 2.4GHz 2-in-1 Communication Module Released

Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) is a technology with strong anti-interference and high-capacity characteristics, capable of supporting a large number of terminal nodes. By improving spectrum efficiency, it can alleviate packet collisions and has uplink frequency hopping modulation capabilities to achieve better coexistence, spectrum efficiency, and sensitivity. The latest product trend from NiceRF is this LR-FHSS SUB-GHz and 2.4GHz 2-in-1 communication module, LoRa1121.

LoRa1121 uses SEMTECH's LR1121 chip, an ultra-low power, long-range LoRa® ISM band transceiver and global 2.4GHz 2-in-1 communication module. LoRa1121 supports LoRa and (G)FSK modulation in the sub-GHz and 2.4G frequency bands, as well as Sigfox® modulation in the sub-GHz band, and long-range frequency hopping spread spectrum (LR-FHSS) in the sub-GHz, 1.9-2.1GHz, and 2.4GHz ISM bands. The LR1121 meets the physical layer requirements of the LoRaWAN® specifications published by the LoRa Alliance® while remaining highly configurable to meet the needs of different applications and proprietary protocols.

Now, let me slowly unveil the specific features of this module that are worth noting

Multi-band compatibility, customizable frequency bands

Our module not only supports sub-GHz and 2.4GHz frequency bands but also covers the ISM band (1900MHz-2200MHz). Additionally, the module supports customizable frequency ranges, covering 150-960 MHz, to meet different application needs.

Support for these frequency bands enables our module to excel in various wireless communication applications. The sub-GHz band is commonly used for long-distance, low-power IoT devices, while the 2.4GHz band is suitable for high-speed data transmission, such as Wi-Fi and Bluetooth. Support for the ISM band provides a broader frequency selection for industrial, scientific, and medical equipment. The customizable frequency range further enhances the module's flexibility, allowing it to operate under different regulations and standards, meeting the specific needs of various applications.

Multiple modulation schemes, compliant with LoRaWAN® specifications

Supports LoRa and (G)FSK modulation in the sub-GHz and 2.4G frequency bands, Sigfox® modulation in the sub-GHz band, and long-range frequency hopping spread spectrum (LR-FHSS), complying with the physical layer requirements of the LoRaWAN® specifications published by the LoRa Alliance®.

Long-range, low power consumption

The LoRa1121 transmission power can be adjusted according to different applications, with a maximum transmit power of up to 22 dBm. In open areas, the sub-GHz transmission range can exceed 5000 meters. The receive current is less than 7 mA, and the sleep current is less than 1 µA.

This high adjustability and long transmission range make the LoRa1121 module excel in various wireless communication applications. Whether for industrial applications requiring high power transmission to cover greater distances or IoT devices needing low power operation to extend battery life, the LoRa1121 delivers outstanding performance and flexibility.

High sensitivity

Sub-GHz reception sensitivity up to -144 dBm @ BW=62.5 kHz, SF=12

 S-band sensitivity up to -132 dBm @ BW=125 kHz, SF=12

 2.4GHz reception sensitivity up to -129 dBm @ BW=406 kHz, SF=7

The high reception sensitivity of the LoRa1121 module ensures stable communication performance across various environments. Whether for long-distance low-bandwidth applications or environments requiring high-bandwidth transmission, the LoRa1121 provides reliable connectivity.

Compact stamp-sized design

The LoRa1121 module is compact and features a stamp-sized design, making it convenient for embedded integration. This design not only saves space but also simplifies the installation process, allowing the LoRa1121 module to be easily embedded into various electronic devices and systems. Whether used in IoT devices, industrial control systems, or smart home applications, the LoRa1121 module provides an efficient wireless communication solution while maintaining a sleek and aesthetically pleasing design.

LoRa1121 module application

Drones

Smart home

nSmart agriculture

nRemote irrigation

nIndustrial manufacturing

The LoRa1121 module uses multi-band compatibility and various modulation schemes such as LoRa, GFSK, Sigfox, and long-range frequency hopping spread spectrum (LR-FHSS) to enhance the module's flexibility. Particularly, the integration of LR-FHSS technology provides high configurability across the 150-960 MHz, 1.9-2.1 GHz satellite bands, and 2.4 GHz ISM band to meet diverse application needs using global LoRaWAN® standards or proprietary protocols. In IoT applications, the extended network capacity with the new LR-FHSS rate supports effective payloads at both high power and low rates without changing the existing network infrastructure. This offers greater channel capacity for endpoints with the lowest data rates, effectively addressing channel congestion issues in LoRaWAN development.

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Exploring the Top Providers for 9 Types of Location Data

In today's data-driven world, location data is a goldmine for businesses and decision-makers. But who are the go-to providers for various types of location data? Let's dive in and explore some of the best:

GPS Data: GPS giants like Garmin and TomTom are trusted sources for accurate global positioning data, crucial for navigation and tracking.

Geocoding Services: Google Maps Geocoding and HERE Geocoder offer precise geocoding services, converting addresses into geographical coordinates.

Mapping and Navigation: Google Maps and Apple Maps lead the way in providing comprehensive mapping and navigation data, vital for location-based services.

Real-time Traffic Data: Waze, now owned by Google, stands out for real-time traffic updates, helping users avoid congestion.

Retail Foot Traffic Data: Placer.ai and SafeGraph are known for offering valuable insights into foot traffic patterns, assisting retailers and investors.

Weather Data: The Weather Channel and AccuWeather are reliable sources for location-specific weather forecasts and historical data.

Social Media Location Data: Social platforms like Facebook and Twitter provide location data through user check-ins and geotagged posts, aiding marketers.

IoT Location Data: Companies like Sigfox and LoRaWAN provide IoT-specific location data, supporting IoT applications and asset tracking.

Local Business Data: Yelp and Yellow Pages offer rich information on local businesses, helping users find services in their vicinity.

When it comes to location data, the key is reliability, accuracy, and relevance to your specific needs. Choosing the right provider can significantly impact your business strategies and decision-making processes. So, explore these options, assess your requirements, and unlock the power of location data for your endeavors! #LocationData #DataProviders #GeospatialAnalysis