RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Epicor Connected Process Control
Epicor Connected Process Control provides a simple-to-use software solution that allows you to configure digital work instructions and enforce process control. It also ensures that operations are error-proof. Connect IoT devices to collect 100% time studies and process data, images and images at the task level. Real-time visibility and quality control on a new level! eFlex can handle any number of product variations or thousands of parts, whether you are a component-based or model-based manufacturer. Work instructions can be linked to Bill of Materials, ensuring that products are built correctly every time, even if changes are made during the process. Work instructions that are part a system that is advanced will automatically react to model and component variations and only display the right work instructions for what's currently being built at station.
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bdpulse
To effectively utilize bdPulse Locators, they must be installed at your organization's location, with the number required based on the size of your facility. A bdPulse representative will assist you throughout the installation process, ensuring everything runs smoothly. Each Smart Tag will be linked to a particular employee, facilitating their addition to the bdPulse dashboard for indoor location tracking. You can monitor employees' real-time movements through the web interface, allowing for easy oversight of different zones within your premises. By leveraging bdPulse's insights on people and movement patterns, you can make informed decisions to enhance your business operations. Additionally, the bdPulse platform provides comprehensive features for managing attendance, tracking in and out times, monitoring employee hours, and overseeing zone-specific movements. Contact us today, and we will work with you to create a customized solution that meets your specific requirements and optimizes your operational efficiency. Our team is eager to assist you in achieving your business goals.
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Wiliot
Wiliot’s IoT Pixels enable all types of products and objects to identify and address inefficiencies and challenges they face. When integrated with machine learning and cloud-based artificial intelligence, the Wiliot Platform offers advanced sensing capabilities, including temperature and location tracking. The Wiliot IoT ecosystem facilitates seamless internet connectivity for various devices by utilizing a widespread network of Bluetooth-enabled gadgets such as smartphones and access points. These innovative, postage stamp-sized devices are battery-free, generating their power by capturing ambient radio waves, which allows for an almost limitless operational lifespan. Their compact design, combined with the ability to function with minimal infrastructure for energy harvesting and data reading, makes them highly advantageous. The combination of being battery-free and cutting-edge tag production methods further enhances the IoT Pixels' benefits concerning size, cost, and ease of maintenance. Additionally, the integration of multiple harvesting units along with nano-watt computing capabilities marks a significant advancement in the field of IoT technology.
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