Use Scheme functional programming language with LambdaChip Alonzo STM32 board

LambdaChip Alonzo STM32 Scheme functional programming

Most MCU-based embedded systems come with firmware programmed with assembler, C, and/or C++.  But as referenced in a paper published in 2000 entitled ” Point of view: Lisp as an alternative to Java“, functional programming languages like Lisp or Scheme may lead to shorter development times compared to C/C++ or Java. That’s with this idea in mind that LambdaChip was created. It is a lightweight, open-source virtual machine designed to run on embedded systems with limited resources, for instance, an 80MHz microcontroller with 50KB RAM, and programmable with Scheme multi-paradigm programming language, a dialect of Lisp widely used for functional programming research and teaching. The company behind the project, also called LambdaChip, has just created its own hardware with LambdaChip Alonzo, an STM32 Cortex-M4 development board with 512KB flash, 128KB RAM, and that also comes with Bluetooth LE connectivity. LambdaChip Alonzo board specifications: MCU – STMicro STM32F411CEU6 Arm Cortex-M4 MCU […]

NXP unveils i.MX 8ULP Cortex-A35/M33 secure processors with optional Azure Sphere certification

NXP i.MX 8ULP-CS (cloud secured)

NXP may have just unveiled plans for i.MX 9 processor family with Arm Ethos U65 microNPU, and advanced security using the company’s EdgeLock enclave, but NXP also introduced new members to its popular i.MX 8 series with i.MX 8ULP and i.MX 8ULP-CS (Cloud Secured) processors. Both processors come with a mix of Cortex-A35 application processor(s) and Cortex-M33 real-time core, as well as Energy Flex low-power architecture and EdgeLock secure enclave, but i.MX 8ULP-CS includes Microsoft Pluton for secure cloud connectivity and lacks 2D/3D graphics and the HiFi 4 audio DSP. NXP i.MX 8ULP and 8ULP-CS key features and specifications: CPU i.MX 8ULP – Up to two Arm Cortex-A35 @ 1.0 GHz and Arm Cortex-M33 @ 216 MHz, i.MX 8ULP-CS – One Arm Cortex-A35 @ 1.0 GHz and Arm Cortex-M33 @ 216 MHz GPU (i.MX 8ULP only) – 2D GPU, and 3D GPU with support for OpenGL ES 3.1, OpenCLTM, Vulkan […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

Edge AI video processing system combines SocioNext SC2000 4K camera SoC with Hailo-8 AI accelerator

EdgeTuring AI processing solution

We’ve previously written about Hailo-8 AI accelerator delivering up to 26 TOPS at low power (3 TOPS per watt), and found in AI edge systems such as Foxconn BOXiedge server powered by a Socionext SynQuacer SC2A11 24x Cortex-A53 cores SoC and capable of analyzing up to 20 streaming camera feeds in real-time for video analytics. Leopard Imaging has now created a much more compact Edge AI processing solution with EdgeTuring based on Hailo-8 M.2 card and Socionext SC2000 4K camera SoC, and designed for low-power video analytics. EdgeTuring features and specifications: Camera SoC / Image Processor – Socionext SC2000 quad-core Cortex-A7 processor @ 650MHz with 4Kp30 H.265/H.264 encoder, up to 1.2 Gigapixel per second processing, LPDDR-3  memory (PoP) AI Module – Hailo-8 M.2 Module for up to 26 TOPS  Camera Dual camera but only one sensor works for AI Sensors – 2x Sony IMX477 CMOS Image Sensor, diagonal 7.857 mm […]

QuickLogic’s Hearable Reference Design enables Alexa Voice-Initiated Devices

Working with QuickLogic's Smart Hearable Reference Design

Last year we saw QuickFeather board featuring EOS S3 Cortex-M4F MCU with embedded FPGA, which was a crowdfunding project. This year the company has launched its smart hearable reference design based on a similar processor by QuickLogic. The device is dedicated to “Voice-Initiated, Hands-Free, Alexa Built-In Devices with Close-Talk Support.” QuickLogic’s smart hearable reference design is based on the company’s Open Reconfigurable Computing (QORC) which supports a complete open-source set of development options for the MCU and FPGA devices. It is also built on the EOS S3 Voice Processor and the QuickFeather open source development kit. This can enhance the user experience with a longer battery life of the device. The EOS S3 Arm Cortex- M4 processor features Low Power Sound Detection (LPSD) technology along with DSP Concepts’ TalkTo noise suppression and beamforming technology for the directional transmission of signals. It also comes with Alexa Wake Word engine technology, an […]

ANNKE CZ400 AI security camera review – Part 1: Specs, unboxing and teardown

Annke CZ400 AI security camera review

We’re starting to see more and more security cameras with built-in AI features such as Reolink RLC-810A 4K camera with people & vehicle detection or the lower cost Vacom Cam Full HD camera with person detection only, which I have not reviewed yet due to some technical issues. I would not buy a camera without AI now as such features greatly reduce false positives. Another model has now come my way with ANNKE CZ400 (aka I91BK) 2K security camera that comes with even more advanced AI-accelerated computer vision features with not only face detection, but also intrusion detection, line crossing detection, region entrance detection, region exiting detection, object removal detection, unattended baggage detection, and audio exception detection. In this first part of the review, we’ll check the specifications, the content of the package with an unboxing, as well as a partial teardown that is needed to install a microSD card. […]

STM32WL based LoRa-5E development kits go for $19.90 and up

LoRa E5 development board

The LoRa-E5 STM32WL module we covered last month can now be found in two LoRaWAN development kits from Seeed Studio with the ultra-compact LoRa-E5 mini board, and the Arduino UNO shaped LoRa-E5 board with more I/Os. Both boards support the LoRaWAN protocol with global frequencies and can achieve a transmission range of up to 10 km with ultra-low power consumption. LoRa-E5 and LoRa-E5 mini specifications: LoRa connectivity LoRa-E5 modules based on STM32WLE5JC SoC with Arm Cortex-M4 MCU @ 48 MHz with 256 KB flash memory, 64 KB SRAM, SX126x LoRa radio Modulations – LoRa, (G)FSK, (G)MSK, BPSK Operating frequencies – 868/915MHz (EU868, US915, AU915, AS923, KR920, IN865) Output power – up to +20.8 dBm at 3.3V Rx sensitivity – -116.5 dBm to -136 dBm Protocol – LoRaWAN SMA-K and IPEX antenna connectors USB – 1x USB Type-C port for power and programming I/Os LoRa-E5 mini – 2x 12-pin through-hole and […]

Rockchip RK3568, RK3588 and Intel x86 SBCs and SoMs in 2025

This mini-computer is set to outperform NVIDIA Xavier by eight times

Fast Sense X Robotics AI Platform

When it comes to high-end AI-edge computer boards, we have seen Hackboard 2 with support for Windows 10 operating system and optional 4G or 5G cellular connectivity. Fast Sense Studios is a Russian-based startup designing powerful on-board computers to bring edge AI capabilities to mobile robotics. At Embedded World 2021, the company has unveiled the Fast Sense X Robotics AI Platform that integrates the power of six computers into a single module. The company claims the newly launched edge AI computer outperforms the NVIDIA Xavier with over 8x higher performance in mobile robots thanks to the advanced DNN inference hardware. Apart from the Intel UHD GPU, the computer also integrates up to 3 Coral Edge TPU devices and up to 2 Myriad X devices allowing it to give optimum results even when on heavy workloads. “We believe in the future where reliable physical agents become relevant for routine tasks that […]

NXP i.MX 9 processors to integrate Arm Ethos U-65 microNPU, EdgeLock secure enclave

NXP i.MX 9 Smart Cities

NXP i.MX 6 and i.MX 8 processors are widely used in industrial boards and systems-on-module, and the company has now teased a new family with i.MX 9 processors integrating Arm Ethos-U65 1 TOPS microNPU, as well as the company’s EdgeLock secure enclave for increased security. The company did not provide that many technical details, so we still don’t know which CPU cores, GPU, and exact peripherals will be found in the processor. But we do know the i.MX 9 processors will be manufactured with a 16/12nm FinFET class of process technology optimized for low power, and features the “Energy Flex” architecture that combines “heterogeneous domain processing (independent applications processor and real-time domains with a separate low-power multi-media domain), design techniques, and process technology to maximize performance efficiency”. That means most blocks of the processor can be turned off for low power audio or CAN networking use cases, and other industrial […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications