Edgefinity IoT is an enterprise RFID and real-time tracking platform that helps organizations gain greater visibility into the people, products, assets, and processes moving throughout their operations. By connecting RFID readers, sensors, and other IoT devices, Edgefinity IoT automatically captures critical data and transforms it into real-time operational insight.
Organizations can track inventory, assets, tools, equipment, work-in-process, and personnel while using configurable rules, alerts, facility maps, and reporting to automate workflows and respond quickly to important events. From inventory and asset tracking to manufacturing visibility, order verification, safety, and mustering, Edgefinity IoT supports a wide range of RFID applications from a single platform.
With a hardware-agnostic architecture and cloud or on-premise deployment options, Edgefinity IoT can grow from a targeted RFID deployment into a scalable, enterprise-wide visibility platform.
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HiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone.
What HiveMQ is known for:
1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication
2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance
3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers
4. Scalable & secure: Supports global deployments with strong security, governance, and observability
5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
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Crunchtime Kitchen
Crunchtime Kitchen is an advanced kitchen automation and display system designed to improve the operational efficiency of restaurants, streamline communication, and enhance workflow. By transforming orders into digital formats and displaying them on screens in the kitchen, it allows staff to effectively prioritize food items based on their preparation times, ensuring that all components of a meal are ready simultaneously. The technology automates numerous functions to minimize food waste, eliminate the reliance on paper tickets, and decrease fulfillment errors through features such as delayed routing and customizable pacing. Furthermore, it promotes better collaboration between kitchen personnel and front-of-house staff by providing real-time insights into production processes, which ultimately enhances service quality. Crunchtime Kitchen also gathers essential analytical data regarding food preparation and ticket durations, offering crucial insights that empower operators and corporate managers to evaluate performance and improve efficiency. By incorporating these diverse features, Crunchtime Kitchen not only refines workflow but also supports a more environmentally responsible approach within the restaurant industry. Additionally, this system is particularly beneficial for those seeking to stay competitive in a rapidly evolving market.
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InfiConnector
InfiConnector serves as an intermediary software installed across various gateways, facilitating the connection of equipment to InfiIoT, which is widely recognized in the realm of the Internet of Things (IoT) and Industrial Internet of Things. This solution ensures secure connections to a range of devices, such as photovoltaic panels, battery storage systems, HVAC units, and compressors, utilizing industrial protocols like Modbus and OPC UA, alongside cellular networks including 5G. Additionally, InfiConnector can be seamlessly configured using cloud services to gather data, enabling preparation for subsequent data analysis or Artificial Intelligence (AI) tasks as well as cloud-based applications.
Acting as a no-code edge computing interface and rule engine, it allows for the swift setup of any machine to access computer, diagnostic, alerting, and log management services within just minutes.
This lightweight middleware requires a minimum of 512MB of RAM, a single-core CPU, and 16GB of disk space, and it is compatible with Ubuntu version 20.04 or newer. With its user-friendly design, it simplifies the integration process for various industrial applications.
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