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The silicon IP Platform for Low-Power IoT by Low Power Futures integrates pre-validated, configurable building blocks tailored for IoT device creation. It provides a turnkey solution to accelerate product development, incorporating options to employ both ARM and RISC V processors. With a focus on reducing energy consumption, the platform is prepared for various applications, ensuring a seamless transition for products from conception to market. The platform is crucial for developing smart IoT solutions that require secure and reliable wireless communications across industries like healthcare, smart home, and industrial automation.
The Wireless Baseband IP from Low Power Futures is designed to optimize ultra-low-power consumption while minimizing footprint and code size. It includes a comprehensive configuration of baseband processor hardware IP, link layer, or medium access control layer firmware, built specifically for IoT applications including beacons, smart sensors, connected audio, and more. The IP offers easy integration into systems on a chip (SoC) and has been fully validated on an FPGA platform to ensure standards compliance and ease of use for developers. Built-in security features further enhance its suitability for secure IoT device deployments.
This Bluetooth Low Energy solution from Low Power Futures offers compliance with the latest Bluetooth 5.2 specifications, focused on providing efficient power consumption for small-scale applications. It supports data rates up to 2 Mbps and features direction-finding capabilities using Angle of Arrival (AoA) and Angle of Departure (AoD). The IP integrates Link layer security and is designed for easy embedding in systems, ideal for applications like smart sensors, audio wearables, and other IoT devices that benefit from low-power wireless connectivity. Its comprehensive validation ensures smooth implementation into various IoT ecosystems.
The Low Power Security Engine is designed by Low Power Futures to provide robust security for IoT devices while maintaining minimal power usage. Focusing on compact and comprehensive security capabilities, it supports elliptic-curve based cryptographic algorithms, including ECDHE (Elliptic-Curve Diffie-Hellman) and ECDSA (Elliptic Curve Digital Signature Algorithm). The design is perfect for ensuring secure operations in constrained environments like RFID systems and embedded SIM cards, offering side-channel and timing attack resistance, thus securing sensitive data in demanding applications like IIoT and connected infrastructure.
Built to facilitate low-power, short-range communications, Low Power Futures' IEEE 802.15.4 WPAN offering is crafted to include both the physical and MAC layers for compliance with recent amendments of the IEEE standard. The design supports BPSK and OQPSK modulations with optional GFSK modulator, covering sub-gigahertz and 2.4 GHz frequency bands. It's equipped with built-in security features, making it fitting for applications requiring reliable, low-power networking such as home automation, smart metering, and industrial IoT communications.
Low Power Futures' Bluetooth 5.2 Dual Mode IP delivers comprehensive support for both Bluetooth Low Energy (LE) and Bluetooth BR/EDR (Basic Rate/Enhanced Data Rate). It is optimally designed for ultra-low power consumption and small form factors, incorporating robust security measures to secure communications effectively. This dual mode capability allows seamless data transmission across a multitude of consumer electronics, paving the way for extensive adoption in areas like automotive infotainment systems, smart home devices, and wearables, where versatile connectivity is crucial.
The Low Power Neural Network Processor (LP-NNP) by Low Power Futures is engineered to achieve high efficiency in AI applications on IoT sensors. This neural network processor delivers low-power, area-efficient inference capabilities, leveraging an AI micro-engine that optimizes machine learning tasks for small, resource-limited environments. Its modular architecture enables easy integration into various embedded platforms, supporting developments in smart infrastructure and industrial IoT. The processor’s comprehensive firmware adapts machine learning libraries for seamless incorporation of AI functionalities.
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