Seeed Studio’s ReSpeaker Lite Series includes the ReSpeaker Lite 2-Mic Array and Voice Assistant Kit, featuring the XMOS XU-316 AI sound chip for advanced voice processing and integration with Home Assistant via ESPHome. It’s perfect for smart home control with far-field voice capture and noise cancellation. The kit combines the ReSpeaker Lite dual-microphone array with the XIAO ESP32S3 module for voice recognition, noise reduction, and processing. It supports WiFi, BLE 5.0, and has a 2.4GHz rod antenna. It also offers I2S and USB connectivity for use with microcontrollers and SBCs, making it ideal for smart voice assistants and home automation. We’ve previously covered the NXP i.MX RT106F & RT106A/L, where NXP i.MX RT106A can run voice assistant software with features like acoustic echo cancellation, ambient noise reduction, beamforming, barge-in, and playback processing. We’ve also written about other ReSpeaker boards, such as the ReSpeaker 4-Mic Array board, ReSpeaker Core board, and […]
Lattice MachXO5D-NX FPGA family enables Hardware Security in Programmable FPGAs
Lattice Semiconductor has recently introduced the MachXO5D-NX FPGA family, which integrates a hardware root of trust (RoT) into low-power FPGAs. This addresses security challenges by combining on-chip Flash memory and hardware encryption to minimize code capture risks during load time. The MachXO5D-NX family includes three variants with logic cell counts of 27k (FMXO5-25), 53k (LFMXO5-55T), and 96k (LFMXO5-100T). These FPGAs feature built-in hardware encryption, a cryptographic engine supporting AES-256, ECDSA-384/521, SHA2-256/384/512, and RSA 3072/4096, and a unique secret identity (USID) for device identity protection. Built on a 28-nm fully-depleted silicon-on-insulator (FD-SOI) process, these FPGAs reduce power consumption by 75% and lower soft error rates by 100x(as the company mentions). They support interfaces such as MIPI D-PHY (CSI-2, DSI), LVDS, Gigabit Ethernet, and PCIe, making them suitable for secure edge applications. Lattice MachXO5D-NX FPGA family specifications FPGA – Lattice Semi MachXO5D-NX FPGA family (27k (FMXO5-25), 53k (LFMXO5-55T), and 96k (LFMXO5-100T)) Programmable […]
Synaptics Astra platform takes SL1620, SL1640, or SL1680 Arm CPU module for Edge AI applications
Synaptics has unveiled its new Astra platform with a range of SoC and a development kit for edge AI applications. These new processors and a supporting development kit are built to provide out-of-the-box AI capabilities for IoT devices, reducing reliance on cloud-based AI. This new Synaptics Astra Platform is built around three main SoCs. The SL1680 is built for multi-modal IoT applications and features a quad-core Arm Cortex-A73 CPU, dedicated 7.9 TOPS NPU, and 4K video. The SL1640 is a cost and power-optimized SoC with a quad-core Cortex-A55 CPU and 1.6+ TOPS NPU. Finally, the SL1620 is a graphics and AI accelerator with a quad-core Cortex-A55 CPU and dual-core Imagination BXE-2-32 GPU but does not feature an NPU. The development kit features a module design where the new swappable compute modules allow flexible configurations. The devkit will support open Yocto Linux distribution and Synaptics AI toolkit for quick AI integration. […]
BHI260AP is an AI smart sensor with built-in IMU by Bosch Sensortec
BHI260AP AI smart sensor integrates a 6-axis IMU, a 32-bit customizable programmable microcontroller, and various software functionalities. The AI smart sensor has embedded AI with on-sensor applications such as fitness tracking, navigation, machine learning analytics, and orientation estimation. The dimensions of the miniaturized AI smart sensor are 4.1mm x 3.6mm x 0.83 mm. Hardware Features of BHI260AP AI Smart Sensor ARC EM4 CPU includes ARCv2 16/32 bit instruction set working up to a frequency of 3.6 MHz. The core also integrates Floating Point Unit (FPU) and Memory Protection Unit (MPU) with 4 channel micro DMA controller. CPU has two modes of AI functioning at 25Hz and 50Hz with 249µA and 386µA of current consumption respectively. Integrated sensor (6-DoF IMU) includes 16-bit 3 axis accelerometer and 16-bit 3 axis gyroscope. The sensor works at an operating voltage of 1.8 V with a standby current value of 8µA, hence the power consumption […]
Himax WE-I Plus EVB AI development board supports TFLite for microcontrollers
Himax WE-I Plus EVB is a low-power AI development board focused on machine learning and deep learning applications with its support for the TensorFlow Lite framework for Microcontrollers. It consists of majorly two significant components. First, HX6537-A ASIC is an ultra-low-power microcontroller designed for battery-powered TinyML applications. Second, HM0360 VGA mono camera with ultra-low power and CMOS image sensing features for CV(Computer Vision) based applications like object classification and recognition. The All in One AI Development Board The Development Board consists of HX6537-A ASIC, with built-in ARC EM9D DSP working at 400MHz frequency. It contains internal 2MB ultra-low leakage SRAMs for system and program usage. It also contains two LEDs to display classification results. Connections with external sensors/devices can be established using I2C and GPIOs interface present in its expansion header. “The all-in-one WE-I Plus EVB includes an AI processor, HM0360 AoS VGA camera, 2 microphones, and a 3-axis accelerometer […]