We design custom IoT gateway hardware which is a crucial component in Internet of Things (IoT) ecosystems, acting as an intermediary between IoT devices and the cloud or central data management platform.
IoT gateway hardware supports multiple communication protocols and interfaces, such as Wi-Fi, Bluetooth, Zigbee, Z-Wave, cellular (3G/4G/5G), Ethernet, and LoRaWAN. This enables it to communicate with a wide array of IoT devices, regardless of their connectivity technologies.
We design custom hardware for various domains, including consumer electronics, industrial automation, medical devices, aerospace, automotive, and more. It includes application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), system-on-chip (SoC) designs, and even specialized sensors or peripherals.
One of the main advantages of custom hardware is the ability to achieve higher performance and efficiency compared to general-purpose solutions. By designing hardware specifically for a particular task, engineers can optimize the architecture, reduce unnecessary components, and fine-tune the operation to meet the desired goals.
4G and 5G gateways play a crucial role in providing reliable and high-speed internet connectivity to various applications including home and business use, remote monitoring, and industrial automation. 5G serves ultra-fast and low-latency connectivity to support applications such as augmented reality (AR), virtual reality (VR), smart cities, and advanced industrial automation.
These gateways can serve as central hubs for various IoT devices, enabling seamless communication and data transfer in environments with high device density.
We design System-on-Chip (SoC) for a wide range of electronic devices, from smartphones and tablets to IoT devices, wearables, smart TVs, and more
Our GNSS solutions is capable of handling signals from satellites, such as GPS (Global Positioning System), GLONASS, Galileo, BeiDou, and others, to provide accurate location data for a variety of applications.GNSS hardware communication interfaces like USB, Bluetooth, Wi-Fi and cellular connectivity are provided for transmitting position data to other devices or systems.Depending on the application, GNSS hardware provides specialized features like geofencing, dead reckoning, or integration with other sensors for more comprehensive solutions
IoT middleware refers to the software layer that acts as an intermediary between the various components of an Internet of Things (IoT) system. It plays a crucial role in enabling communication, data management, and device management, sensors, applications, and services within an IoT ecosystem. MachiNx IoT Middleware is a customizable, cloud ready software stack that helps simplify the complexities of IoT by providing standardized interfaces, multiple & multi level protocols, and services that allow disparate devices and applications to communicate effectively.
MachiNx CVMS provides the end-to-end solutions including infrastructure, hardware and applications that enable communication, data exchange, and management of vehicles and their associated services. This system provides the platform for various features and functionalities in modern vehicles, such as telematics, remote diagnostics, infotainment, over-the-air (OTA) updates, and more. The system is highly scalable, secure and is built over various technologies like AI, Cloud, Big Data, IoT etc.
MachiNx Big Data managhttps://websites.godaddy.com/en-IN/editor/4f9c9901-8d5c-4502-bf4d-bc25683b08c4/98484fe8-33b2-4fa4-aa34-e468b2ab0a0d/edit#ement system is a suite of technologies & applications required to manage data with high velocity, large volume and heterogeneous nature. MachiNx DMS is highly scalable, customizable and provide various features like Real-Time data processing, Real-Time alerting, Data formatting, Pipelining, Indexing & Storage, Analytics, Data set creation & maintenance for AI workloads.
MachiNx Ubiq-AI enables the "Ubiquitous AI" which is the concept of artificial intelligence being present and integrated into various aspects of our daily lives, environments, and technologies to the point where it becomes nearly invisible and seamlessly integrated. In a ubiquitous AI scenario, AI technologies are not isolated or restricted to specific applications or devices; instead, they are deeply embedded in the fabric of our surroundings and interactions.
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