A battery-free environmental sensor detects room conditions and occupancy while minimizing energy consumption and maintenance requirements.
Every project follows the same Ryvasys Split — AI drafts the mechanical work, a named engineer reviews and owns every decision that touches safety, cost, or a regulatory limit.
Additional detail on architecture, stack and implementation specifics for this engagement.
The sensor harvests ambient energy (light and/or thermal/kinetic sources, depending on deployment) to power an ultra-low-power MCU and wireless radio, eliminating the battery entirely. Firmware is built around an event-driven, mostly-sleeping execution model that only wakes for sensing and transmission windows.
Given the intermittent, harvested power budget, the device transmits compact occupancy/environmental readings on a duty-cycled schedule over a low-power wireless protocol to a gateway, which forwards data to the cloud for aggregation and building-management-system integration.
Designing firmware that can operate correctly under an unpredictable and sometimes-interrupted power supply — including brownout handling and state persistence across power gaps — was the central engineering problem, on top of the usual ultra-low-power sensing and RF design work.
Energy harvesting was the client's core value proposition (zero-maintenance sensors), so the firmware and hardware architecture had to be designed around power availability as a first-class constraint from day one, rather than treating power as an optimization applied afterward.
