智能家具,超越功能,如何更实用?
Smart Furniture: From Technology to Comfortable Experience Smart Furniture: From Technology to Comfortable Experience
Voice, sensors, and artificial intelligence algorithms make furniture responsive to the personalized needs of different users and scenarios.
However, whether technology can be transformed into a real experience ultimately depends on the actual use: will users adjust proactively after sitting or lying down? Can common functions be found quickly? Is it safe when furniture operates automatically? And how well are related data protected when entering private spaces like bedrooms?
Established in 1982, Germany's OKIN provides a one-stop drive solution for smart furniture, including electric push rods, functional iron frames, lifting columns, and control systems. In its product design, technology is always connected to specific use scenarios: when do people need to adjust, how can the operation be more convenient, how can furniture adapt to different body conditions, and how can safety and privacy be balanced during operation.

Functionality is at hand, how to make users more willing to use it?
It is not difficult to press a button with an outstretched hand when standing. However, when lying in bed or sitting in a sofa, and the body is in a relaxed state, finding the remote control, changing posture, or holding down a button means temporarily leaving the current comfortable state.
Therefore, whether a function can be used frequently not only depends on its value but also on the operation cost required to use it.
Offline voice control systems provide another choice. Users do not need to get up again or find the remote control, just say simple commands, and they can adjust the posture of smart beds or functional sofas. For situations where hands are occupied, remote controls are not nearby, or the body is not convenient to move, voice allows adjustments to occur naturally in the current state.

Of course, voice control is not to replace remote controls and physical buttons. In noisy environments, when it is not convenient to speak, or when facing users with different usage habits, traditional control methods are still more direct. Retaining multiple control interfaces allows users to choose the most suitable operation method according to the current environment and physical condition.
Memory position solves the problem of repeated adjustment. Beds and sofas can save the user's commonly used sitting and lying angles, and lifting tables can set the height corresponding to sitting posture office and standing posture office. After one adjustment, users only need to press a button, and the furniture can automatically return to the familiar position, without having to repeatedly press or find the appropriate angle each time.
Voice control reduces the interference of temporary operations on the comfortable state, and memory position saves the trouble of repeated adjustment. OKIN starts from the real use experience and makes the control process more humanized.
Comfort is not just one posture
Users have different heights, body types, and living habits; even the same person may have different demands on furniture support in reading, watching movies, resting, and sleeping.
Through the partition adjustment of the head, waist, and legs, smart beds and functional sofas can change their shape according to user habits, so that different body parts can receive corresponding support. Furniture is no longer just a fixed posture but can adjust according to the user's use state, better fitting the body.
However, users may not always be able to accurately judge which angle is more suitable for themselves. Based on this need, smart furniture is beginning to provide reference for adjustment through state sensing in addition to executing user instructions.
For example, with OKIN's AI zero-pressure sofa solution, after the AI mode is turned on, the sofa will collect user's heart rate, breathing frequency, and other data through sensors, and analyze them by AI algorithms. According to the analysis results, the sofa can automatically adjust to the posture that the system judges more suitable for the user's current state, and users can also view relevant data and analysis reports in the APP.
Thus, users no longer need to rely on repeated trial adjustments to find the appropriate posture, and body condition data and algorithm analysis can also provide reference for furniture adjustment, making posture selection more direct.
Writing safety into every operation
As the degree of intelligence of furniture increases, consumers will instinctively pay attention to another issue: if children, pets, or surrounding items enter the running area, can furniture detect them in time?
OKIN has been researching and developing anti-collision safety systems since 2009 and has continued to iterate. At present, the contact anti-collision scheme is more commonly used: when furniture runs into an object, the film pressure sensor will identify the change in pressure, and the electric push rod will drive the functional iron frame to run in the opposite direction, triggering the corresponding protective response. This kind of scheme is technically mature and can be adapted to various electric furniture products.

On this basis, OKIN has also developed a non-contact TOF anti-collision scheme based on distance sensing. It can intelligently identify objects entering the anti-collision area through distance changes, reduce squeezing contact and the injury caused by it, and expand the detection range.
The lifting table faces the risk of obstacles in office scenarios. When the table top rises, it may encounter windowsills or cabinets, and when it descends, it may also hit chairs and items under the table. The obstacle reversal function can make the table top move in the opposite direction to a safe distance after touching obstacles, reducing the risk of continuous squeezing. Users can also set the sensitivity of induction according to their actual environment and usage habits.

These functions usually do not become the "bright spots" that consumers experience first, but they affect whether smart furniture can be trusted for a long time. Truly effective safety design is not to remind users to be vigilant at all times, but to make risk identification a part of the furniture's operation logic.
Data stays on the device, making intelligence have boundaries
When smart furniture enters the bedroom and starts to contact personal information such as sound, sleep, heart rate, and breathing, safety extends from mechanical operation to personal data protection.
In this regard, OKIN gives priority to processing and storing related private data on the device and makes smart functions as offline as possible. For example, offline voice control, the wake word and voice command can be recognized locally on the device, and there is no need to upload the sound to the cloud, reducing privacy risks from data transmission.
For functions that already support offline operation, the device can complete the corresponding operation without networking. For products like beds and sofas that are long placed in the family's private space, keeping data processing that can be completed locally not only retains the convenience of use but also gives users clearer control over their personal data.
Voice control, memory position, partition adjustment, state sensing, anti-collision, obstacle reversal, and offline processing, although they seem to belong to different functions, actually respond to the same question: how to make technology more naturally enter the user's daily life.
The technology needs to complete is to keep the complex recognition, judgment, and execution inside the product, and to hand over the simple, comfortable, safe, and controllable experience to the user. For OKIN, this is the key to making smart furniture from "realizing functions" to "truly usable".
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