Yingfeeling Technology Co., Ltd. released the new PSOC EDGE microcontroller (MCU) series of details. The design of this series of products is optimized for machine learning (ML) applications.The newly launched PSOC EDGE MCU three series E81, E83 and E84 have scalability and compatibility in terms of performance, function and memory options.They are equipped with comprehensive system design tools and software, enabling developers to quickly transform concepts into products, and promote new IoT (IoT), consumption and industrial applications that support machine learning to the market.
Steve Tateosian, Vice President of the MCU, the Internet of Things, Wireless and Computing Business, said: The next -generation Internet of Things edge equipment requires continued improvement in performance without affecting power consumption.The PSOcedge E8 series of semiconductor products of the PSOcedge E8 series not only uses machine learning functions to achieve real -time response AI, but also balances performance and power consumption requirements, and provides embedded security for connected home equipment, wearable equipment and industrial applications.As the leading MCU provider, we are committed to providing solutions for expanding the functions of the future IoT system.
Yingfeeling's new PSOC EDGE E81, E83, and E84 MCU-based ARMCORTEX-M55 cores support the ARM HeliumDSP instruction set and paired with the ARM ETHOS-U55 neural network processor, as wellNnlite (a proprietary hardware accelerator for accelerating neural networks).In addition, the three series supports rich peripheral sets, storage on the film, powerful hardware security functions and various connection external options, including the USB HS/FS, CAN bus, Ethernet of the built -in PHY, support and WiFi 6, BT/BLE connection and Matter protocol.PSOcedge E81 uses Armhelium DSP technology and Yingfei Ling Nnlite neural network (NN) accelerator.PSOC EDGE E83 and E84 built-in ARM ETHOS-U55 miniature NPU processor. Compared with the existing Cortex-M system, its machine learning performance has increased by 480 times, and they support the Yingfei Nnlite neural network accelerator, which is suitableMachine learning applications in the field of calculation.
The target applications of the PSOC EDGE E8X series include the human -machine interface (HMI) interface (HMI), smart home and security systems, robots and wearable devices in home appliances and industrial equipment.These three series support activation and control through voice/audio induction. Among them, E83 and E84 MCU provides enhanced functions for advanced HMI, including machine learning wake -up, visual position detection and face/object recognition.PSOC & Nbsp; EDGE E84 series still adds low -power graphical display based on rich functional sets (supports 1028x768).