machine learning News - Page 6 of 21 - CNX Software

December 15, 2023December 14, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Renesas RA8D1 Arm Cortex-M85 SoC features LCD display interfaces, 2D graphics accelerator

Renesas RA8D1 is a new Arm Cortex-M85 microcontroller with graphics capabilities such as a 2D graphics accelerator and MIPI DSI and parallel RGB interfaces to connect an LCD that will make the chip suitable for HMI applications. Renesas introduced the world’s first Arm Cortex-M85 microcontroller with the RA8M1 just a few weeks ago, but the MCU has limited multimedia capabilities with just a 16-bit Capture Engine Unit (CEU) interface to connect a camera. The second member of the Renesas RA8 family fills this void with the RA8D1 microcontroller adding an LCD controller and a 2D graphics drawing engine on top of the CEU camera interface. Renesas RA8D1 specifications: MCU core – Arm Cortex-M85 clocked at 480 MHz with Helium MVE (M-Profile Vector Extension) with 32KB I/D caches, 12KB data flash Memory & Storage 1MB SRAM with TCM (128KB) 1MB to 2MB Flash memory 32-bit external SDRAM interface Display interfaces and […]

December 7, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Tokay Lite – A battery-powered no-code AI camera based on ESP32-S3 WiSoC (Crowdfunding)

Maxlab’s Tokay Lite is an OHSWA-certified AI camera based on ESP32-S3 WiFI and Bluetooth SoC that can be used for computer vision (e.g. facial recognition & detection) and robotics applications without the need to know programming languages since a web interface is used for configuration. The WiFi and Bluetooth AI camera also features night vision with four IR LEDs, an IR cut filter, light and PIR motion sensors, a 20-pin expansion connector with SPI and UART, support for an external RTC, and can take power from USB-C or a LiPo battery. Tokay Lite specifications: Wireless module ESP32-S3-WROOM-1 MCU – ESP32-S3 dual-core LX7 microprocessor @ up to 240 MHz with Vector extension for machine learning, 512 KB SRAM Memory – 8MB PSRAM Storage – 8MB SPI flash Connectivity – WiFi 4 and Bluetooth 5 with LE/Mesh PCB antenna Certifications – FCC/CE certification Camera OV2640 camera sensor (replaceable) via DVP interface Image Capabilities: […]

November 23, 2023 by Jean-Luc Aufranc (CNXSoft) - No Comments

Arm Cortex-M52 aims to bring AI to small, low-cost IoT devices

Arm Cortex-M52 is a new microcontroller core featuring Arm Helium technology and designed to bring AI capabilities to smaller and lower-cost IoT devices than what is already possible with SoCs based on the Arm Cortex-M55 core. Arm Cortex-M52 key features and specifications: Architecture – Armv8.1-M Bus interfaces AMBA 5 AXI 32-bit or AMBA 5 AHB 32-bit Main system bus AMBA 5 AHB 32-bit Peripheral bus AMBA 5 AHB 32-bit TCM Access bus (subordinate port) Pipeline – 4-stage pipeline Security Arm TrustZone technology (optional), with optional Security Attribution Unit (SAU) of up to 8 regions. Stack limit checking. Optional support for PACBTI extension (Pointer Authentication, Branch Target Identification) Memory Protection – Optional Memory Protection Units (MPU) for process isolation with up to 16 MPU regions and a background region – if TrustZone is implemented, there can be a Secure and a Non-secure MPUs. DSP extension – 32-bit DSP/SIMD extension Optional single-beat […]

October 31, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Renesas RA8M1 is the world’s first Arm Cortex-M85 microcontroller

Renesas RA8M1 Arm Cortex-M85 microcontroller

Renesas RA8M1 is an up to 480 MHz Arm Cortex-M85 microcontroller with Arm Helium technology to improve DSP and machine learning performance on Cortex-M microcontrollers, and delivering up to 6.39 CoreMark/MHz performance using EEMBC’s CoreMark, or over 3,000 CoreMark at 480 MHz. The Arm Cortex-M85 core was first unveiled in April 2022 as a faster Cortex-M7 alternative and new Arm Helium technology that delivers machine learning performance similar to Cortex-M55 application processor. We had some teases about the upcoming Renesas Cortex-M85 in the last year, but the world’s first Cortex-M85 microcontroller is finally here. Renesas RA8M1 key features and specifications: MCU core – Arm Cortex-M85 clocked at 240 to 480 MHz with Helium MVE (M-Profile Vector Extension) with 32KB I/D Caches and 12KB Data Flash Memory & Storage 1MB SRAM with TCM 1MB to 2MB Flash memory External memory interfaces (CS/SDRAM) Camera – 16-bit Capture Engine Unit (CEU) interface Communication […]

September 1, 2023 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

ESP32-S3-BOX-3 devkit comes with 2.4-inch display, dual microphone, PCIe expansion connector

Espressif Systems has launched an update to their ESP32-S3-Box development kit for online and offline voice assistants with the ESP32-S3-BOX-3 devkit that still features a 2.4-inch capacitive touchscreen display with 320×240 resolution, two microphones, a built-in speaker, and a USB-C port, but replaces the PMOD connector by a PCIe connector for various expansion modules. The open-source ESP32-S3 development kit is powered by the ESP32-S3 SoC with AI extensions and can be used to implement all sorts of solutions using the company’s ESP-SR, ESP RainMaker, and Matter solutions such as an offline voice assistant, a chatbot powered by ChatGPT, a handheld gaming console, a tiny robot, a Matter-compatible Smart Home hub, and more. ESP32-S3-BOX-3 specifications: WiSoC – ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with Wi-Fi 4 & Bluetooth 5, AI instructions, 512KB SRAM Memory and Storage – 16MB octal PSRAM and 16MB QSPI flash Display – 2.4-inch capacitive touchscreen […]

August 24, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

TRACEPaw sensorized paw helps legged robots “feel the floor” with Arduino Nicla Vision

Our four-legged friends don’t walk on tarmac the same way as they do on ice or sand as they can see and feel the floor with their eyes and nerve endings and adapt accordingly. The TRACEPaw open-source project, which stands for “Terrain Recognition And Contact force Estimation through Sensorized Legged Robot Paw“, aims to bring the same capabilities to legged robots. Autonomous Robots Lab achieves this through the Arduino Nicla Vision board leveraging its camera and microphone to run machine learning models on the STM32H7 Cortex-M7 microcontroller in order to determine the type of terrain and estimate the force exercized on the leg. But the camera is apparently not used to look at the terrain, but instead, at the deformation of the silicone hemisphere – made of “Dragon Skin” – at the end of the leg to estimate 3D force vectors, while the microphone is used to recognize terrain types […]

August 22, 2023August 22, 2023 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Tiny solder-down NXP i.MX 93 System-on-Module powers credit card-sized evaluation board

Ka-Ro Electronics’ QS93 is a tiny solder-down NXP i.MX 93 System-on-Module (SoM) running Linux and designed for edge processing. The company also offers a credit card-sized evaluation board that may remind some of the Raspberry Pi with its GPIO header and general layout, but it comes with two Fast Ethernet ports and one USB 2.0 port. We’ve already covered several system-on-modules based on the NXP i.MX 93 Cortex-A55/M33 AI processor including some with high-density board-to-board connectors such as the Compulab UCM-IMX93 and Forlinx FET-MX9352-C, others with a SO-DIMM connector like the VAR-SOM-MX93, and finally some designed to be soldered on the carrier board such as the OSM-L compatible iW-RainboW-G50M, and the QS93 adds to the latter category in a tiny 27×27 mm form factor. Ka-Ro electronics QS93 specifications: SoC – NXP i.MX 93 with CPU – Up to dual-core Cortex-A55 processor @ up to 1.5 GHz Real-time core – Arm […]

August 21, 2023August 21, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

MediaPipe for Raspberry Pi released – No-code/low-code on-device machine learning solutions

Google has just released MediaPipe Solutions for no-code/low-code on-device machine learning for the Raspberry Pi (and an iOS SDK) following the official release in May for Android, web, and Python, but it’s been years in the making as we first wrote about the MediaPipe project back in December 2019. The Raspberry Pi port is an update to the Python SDK and supports audio classification, face landmark detection, object detection, and various natural language processing tasks. MediaPipe Solutions consists of three components: MediaPipe Tasks (low-code) to create and deploy custom end-to-end ML solution pipelines using cross-platform APIs and libraries MediaPipe Model Maker (low-code) to create custom ML models MediaPipe Studio (no-code) webpage to create, evaluate, debug, benchmark, prototype, and deploy production-level solutions. You can try it out directly in your web browser at least on PC and I could quickly test the object detection on Ubuntu 22.04. MediaPipe Tasks can be […]