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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.
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New Product Launch: 2W High-Power LR1121 Wireless Communication Module -- LoRa1121F33-1G9
LoRa1121F33-1G9 module is built on SEMTECH's LR1121 chip, an ultra-low power, long-range LoRa transceiver supporting Sub-GHz and satellite-connected S-band communication. The LoRa1121F33-1G9 supports LoRa, (G)FSK modulation, Sigfox protocol, and LR-FHSS. It is compatible with the LoRaWAN communication protocol and can function as a LoRaWAN node. Additionally, it offers flexible configuration options to meet the requirements of various applications and proprietary protocols.
Features of LoRa Module LoRa1121F33-1G9
Sub-GHz Bands :433/470MHz 2W
Sub-GHz Bands: 868/915MHz 1W (Customizable : 150~960 MHz)
S band: 1900MHz~2000MHz 0.8W
S band sensitivity : up to -132 dBm @ BW=125 KHz, SF=12
Sub-GHz reception sensitivity: up to-144dBm @ BW=62.5 KHz, SF=12
Electrostatic Protection (ESD)
Supports LR-FHSS
Supports LoRaWAN and Sigfox protocol
Supports AES-128 encryption and decryption
Sub-GHz transmission exceeds 10 km in open areas
Sleep current < 15µA
Receive current < 9mA
Small size, stamp hole design
Applications of LoRa Module LoRa1121F33-1G9
Drones
Remote irrigation
Smart home/Smart agriculture
Industrial manufacturing
Block Diagram
Typical Schematic Circuit
Appendix 1: Function Demonstration Board
Function Description
The LoRa1121F33-1G9 high-power wireless module DEMO board primarily implements the following functions: inter-module communication, measuring module transmit power, measuring receive sensitivity, and measuring sleep current.
2)Key Functions
The demo board has three buttons: SET, UP, and DOWN. Their functions are as follows:
Operation Method:
Ensure normal power supply, then toggle the power switch to turn on the power. The DEMO board screen will display the current function interface.Short press the SET key to enter the setting mode. To select an option, short press the SET key; to return, long press the SET key. Use the UP and DOWN keys to select the parameter you want to adjust. Finally, short press the SET key to complete the modification.
1) Setting Interface Description
Mode: Function
Band: Frequency Band
FREQ: Frequency
SF: Spreading Factor
BW: Bandwidth
POWER: Power
CR: Coding Rat
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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.
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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
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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.
#ArtificialIntelligence#AI#MachineLearning#AIApplications#EmergingTech#SmartTech#AIResearch#Innovation#DigitalTransformation#TechTrends
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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
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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.
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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)
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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.
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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.
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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.
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New Product Pre-Launch: High Power LR1121 Communication Solution - Sub-GHz Band + Satellite Channel High-Power Communication Module
With the rapid development of IoT (Internet of Things) technology, Low Power Wide Area Networks (LPWAN) have become a core technology in fields such as smart cities, industrial automation, remote monitoring, and environmental data collection. Driven by diverse application scenarios and complex environmental demands, the stability of device communication, transmission range, and frequency band compatibility have garnered unprecedented attention. To enhance the configuration flexibility of IoT communication modules, our company launched the LoRa1121, a cross-frequency compatible module based on the LR1121 chip, in August this year.
To further explore IoT applications across frequency bands, we have developed the LoRa1121F33-1G9, a high-power module supporting Sub-GHz and satellite channels. With high-power output, this module significantly enhances long-distance communication performance while offering greater flexibility for stable connectivity in complex scenarios through its support for both the Sub-GHz and S-band (satellite channels).
The LoRa1121F33-1G9, like the LoRa1121, utilizes SEMTECH's LR1121 chip, a low-power, long-range LoRa transceiver. It supports LoRa, (G)FSK modulation, the Sigfox protocol, and LR-FHSS technology with strong anti-interference capabilities. Additionally, it is compatible with the LoRaWAN communication protocol, enabling its use as a LoRaWAN node.
The key difference between the LoRa1121F33-1G9 and the LoRa1121 lies in its enhanced power for the Sub-GHz and S-band (satellite frequency). Details are shown in the table below:
Application Scenarios for the High-Power LR1121 Solution:
Environmental Monitoring in Remote Mountain Areas: Traditional communication modules often struggle with signal coverage in complex terrains. Leveraging high-power output and outstanding sensitivity, the LoRa1121F33-1G9 can penetrate mountainous obstacles to deliver stable data transmission, ensuring reliable monitoring of weather, air quality, and hydrology in remote regions.
Large-Scale Farmland Irrigation Systems: With its ultra-long transmission range and low-power design, the LoRa1121F33-1G9 can cover extensive farmland spanning several square kilometers. This eliminates the need for frequent relay deployments, reducing costs and improving efficiency in smart agriculture.
Port and Logistics Hub Monitoring: In open yet complex environments, the high-power output enhances signal transmission's resistance to interference, enabling real-time monitoring of port equipment and cargo conditions.
More details will be unveiled in the official release. Stay tuned to learn more about its features and performance specifications!
For details, please click:https://www.nicerf.com/products/ Or click:https://nicerf.en.alibaba.com/productlist.html?spm=a2700.shop_index.88.4.1fec2b006JKUsd For consultation, please contact NiceRF (Email: [email protected]).
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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
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IoT in Construction Market Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2021 - 2031
The global IoT in Construction market is estimated to attain a valuation of US$ 34 Bn by the end of 2031, states a study by Transparency Market Research (TMR). Besides, the report notes that the market is prognosticated to expand at a CAGR of 16.2% during the forecast period, 2022-2031.
The key objective of the TMR report is to offer a complete assessment of the global market including major leading stakeholders of the IoT in Construction industry. The current and historical status of the market together with forecasted market size and trends are demonstrated in the assessment in simple manner. In addition, the report delivers data on the volume, share, revenue, production, and sales in the market.
Request for a sample of this research report at (Use Corporate Mail Id for Quick Response) - https://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=83553
The report by TMR is the end-product of a study performed using different methodologies including the PESTEL, PORTER, and SWOT analysis. The study with the help of these models shed light on the key financial considerations that players in the IoT in Construction market need to focus on identifying competition and formulate their marketing strategies for both consumer and industrial markets. The report leverages a wide spectrum of research methods including surveys, interviews, and social media listening to analyze consumer behaviors in its entirety.
IoT in Construction Market: Industry Trends and Value Chain
The study on the IoT in Construction market presents a granular assessment of the macroeconomic and microeconomic factors that have shaped the industry dynamics. An in-depth focus on industry value chain help companies find out effective and pertinent trends that define customer value creation in the market. The analysis presents a data-driven and industry-validated frameworks for understanding the role of government regulations and financial and monetary policies. The analysts offer a deep-dive into the how these factors will shape the value delivery network for companies and firms operating in the market.
Buy this Premium Research Report | Immediate Delivery Available at - https://www.transparencymarketresearch.com/checkout.php?rep_id=83553<ype=S
IoT in Construction Market: Branding Strategies and Competitive Strategies
Some of the key questions scrutinized in the study are:
What are some of the recent brand building activities of key players undertaken to create customer value in the IoT in Construction market?
Which companies are expanding litany of products with the aim to diversify product portfolio?
Which companies have drifted away from their core competencies and how have those impacted the strategic landscape of the IoT in Construction market?
Which companies have expanded their horizons by engaging in long-term societal considerations?
Which firms have bucked the pandemic trend and what frameworks they adopted to stay resilient?
What are the marketing programs for some of the recent product launches?
The list of key players operating in the IoT in Construction market includes following names:
AgileVision Sp. Z O.O.,Autodesk Inc.,CalAmp,DIGITEUM,Giatec Scientific, Inc.,Pillar Technologies, Inc.,Kore Wireless,Losant IoT,Oracle Corporation,PlanRadar,SIGFOX,Triax Technologies
Request for customization of this research report at - https://www.transparencymarketresearch.com/sample/sample.php?flag=CR&rep_id=83553
IoT in Construction Market: Assessment of Avenues and Revenue Potential in Key Geographies
Some of the key aspects that the study analyzes and sheds light are:
Which regions are witnessing rise in investments in the supply chain networks?
Which countries seems to have benefitted from recent import and export policies?
Which regions have witnessed decline in consumer demand due to economic and political upheavals?
Which are some the key geographies that are likely to emerge as lucrative markets?
Which regions are expected to lose shares due to pricing pressures?
Which regions leading players are expected to expand their footprints in the near future?
What are some the sustainability trends impacting the logistics and supply chain dynamics in the IoT in Construction market?
What are some of the demographic and economic environments that create new demand in developing economies?
How are changing government regulations shaping business strategies and practices?
About Us Transparency Market Research
Transparency Market Research, a global market research company registered at Wilmington, Delaware, United States, provides custom research and consulting services. The firm scrutinizes factors shaping the dynamics of demand in various markets. The insights and perspectives on the markets evaluate opportunities in various segments. The opportunities in the segments based on source, application, demographics, sales channel, and end-use are analysed, which will determine growth in the markets over the next decade.
Our exclusive blend of quantitative forecasting and trends analysis provides forward-looking insights for thousands of decision-makers, made possible by experienced teams of Analysts, Researchers, and Consultants. The proprietary data sources and various tools & techniques we use always reflect the latest trends and information. With a broad research and analysis capability, Transparency Market Research employs rigorous primary and secondary research techniques in all of its business reports.
Contact Us
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