AI hardware: from a working demo to a deliverable product
Algorithms are one part. Power, mechanics, interaction and testing determine whether a device can leave the lab.
Define why the device should exist
AI hardware is more than adding chat to an existing device. Define the user, environment, core task, and why a phone or software alone is insufficient. Smart Head explores desktop voice interaction and companionship, while Smart Shelf connects physical locations, operator guidance and stock records. Each context needs different engineering trade-offs.
Design hardware and software together
Microphone placement affects audio capture, enclosure volume affects cooling, connectivity affects responsiveness, and power limits computation. Product definition, industrial design, electronics, firmware and cloud interfaces need joint reviews rather than a final assembly of separate decisions.
Include failure conditions in acceptance
One successful run on a healthy network does not establish usability. Validation should cover disconnection, repeated actions, power cycles, recognition errors and sustained operation. Real-world data and actions also need human correction and recovery paths. The exact tests depend on the environment and product stage.
Transfer a complete package into pilot production
After a prototype, teams still need a BOM, assembly documents, test fixtures, pass criteria, defect feedback and revision control. Sitock can discuss customization using platforms such as Smart Head and Smart Shelf. Configuration, certification, schedule and scope must be assessed; presentation images are not final specifications.
