e-peas, an acknowledged pioneer in power technology for energy harvesting, showcased its latest engineering advances at this year’s CES event and illustrated how they can be applied to real-world scenarios. They also featured some of the highly effective power management IC devices from e-peas’ award-winning AEM series and also included the company’s new microcontroller unit (EDMS).
Showcasing the autonomous surveillance system
e-peas showcased a complete low power autonomous surveillance system deployment in action for the visitors at CES. The system on display relies on energy harvesting to meet all its power requirements. It may be used for people counting and facial recognition purposes (accessing stored data to confirm individuals’ identities).
What does it consist of
To power itself, the system relies on the AEM10941 PMIC, which is designed specifically for energy harvesting power management in solar-oriented implementations, plus the AEM30940 PMIC, which is intended for RF-based energy harvesting work.
At the heart of this demonstration was the game-changing EDMS105N MCU, which e-peas is due to start sampling very soon. This 32-bit device is based on ARM Cortex-M0 architecture and is optimized for operation in situations where there are minimal available power reserves – such as industrial IoT, building automation and smart city implementations.
Further e-peas innovations are highlighted in relation to both the image sensor and the RF energy harvesting antenna employed.
The development of this system was also the opportunity for e-peas to collaborate with GreenWaves Technologies whose GAP8 application processor enables images processing for people counting and facial recognition purposes.
“Our CES demonstration will give us the opportunity to provide an international audience with more details on the full breadth of our product offering, as it continues to expand and develop,” states Geoffroy Gosset, CEO and co-founder of e-peas. “It will underline our capacity to serve the market with comprehensive solutions for battery-free infrastructure, covering not only the power management but also the data processing and sensing aspects. This signifies another important step in e-peas progression as a leader in low power edge processing and sensing applications.”