# Industrial-Grade Edge Computing Device for Smart Furniture Products
## 1 Introduction
Although numerous different approaches have been used for this topic, the authors did not find clear evidence of focused approaches to industrial-grade design and connectivity integration into classic furniture pieces for everyday households. The keywords \"Smart Home\", \"IoT\", \"Home IoT\", and \"Smart Furniture\" were used to search the SCOPUS, Web of Science, and IEEE Xplore databases. The remaining papers (that reference \"smart furniture\") are commented on in Section 2. The researchers involved in this project are interested in upgrading their existing design and products to attract new customers and gain a new market niche that has been, so far, reserved for commercial home assistant digital stand-alone products. On the other hand, smart furniture environments represent specialized ecosystems where intelligent furniture systems can operate at optimal functionality. These environments are characterized by a robust infrastructure of connectivity, sensing capabilities, and interactive technologies that enable furniture to respond dynamically to user needs and environmental conditions, and to control various connected devices. One could easily argue that one of the defining characteristics of smart furniture environments is their comprehensive sensor (or, more in general, input) ecosystem. These environments typically integrate multiple sensing technologies, including photosensitive sensors, sound sensors, temperature sensors, and infrared sensors that allow furniture to detect or perceive the user's actions, presence, touch, and other information (for inputs,that would be digital inputs or remote/wireless logical inputs), enabling the specific intelligent functions of automatic detection, automatic sensing and, in the end, the automated control of output/peripheral devices [7]. This sensor-rich environment enables the foundation for furniture that can adapt to changing conditions and user preferences without explicit commands. Another defining characteristic, as presented by [7], is the presence of embedded processing systems (system on chip or similar) that function as the central control system of intelligent furniture. These environments require appropriate computational infrastructure to support the microcomputer processing system that is embedded in the furniture body. The embedded system serves as the integration point for software and hardware components, primarily composed of an embedded processor, operating system, electromechanical devices, and other supporting hardware and application software, as well as interconnected devices. Connectivity infrastructure represents a third (vital) characteristic of smart furniture environments. These spaces require robust wireless networks (WiFi, Bluetooth, Zigbee, LoRa...) that facilitate communication between smart furniture (pieces) and connected devices. According to [7], users in these environments can use mobile phones, tablet computers, and other mobile terminals to control the specific functions of smart furniture through wireless networks or remote control. This interconnectedness enables seamless integration with broader smart home or even remote cloud ecosystems. The applicability of smart furniture environments extends across various domains, as will be presented in more detail later in Section 2. In residential settings, these environments enhance everyday living through personalized comfort and convenience. One example would be a smart bed that integrates a computer, TV, and game system, turning the bed into a powerful entertainment system. In office environments, smart furniture supports productivity and wellness, exemplified by solutions like the Autonomous Desk, which adjusts its height and reminds users when the user's standing or sitting time exceeds a reasonable range of health [7]. Healthcare facilities represent another application area where intelligent furniture can support patient monitoring and care. Educational institutions can leverage smart furniture environments to enhance collaborative learning and resource management.