Gigadevice GD32VW553 is a new 160MHz RISC-V microcontroller for IoT applications with support for WiFi 6 (802.11ax) and Bluetooth 5.2 Low Energy (LE) and available in QFN32 and QFN40 packages with up to 28 GPIOs. As an IoT chip, the chip supports various power modes and target wake time (TWT) for low power consumption, as well as WiFi features such as WPA3 and WiFi direct, while the radio can handle Bluetooth 5.2 LE bit rates of up to 2 Mbps and support the Long Range mode. Gigadevice GD32VW553 specifications: MCU core – 32-bit Nuclei N307 RISC-V core @ up to 160 MHz with RV32I / M / A / F / D / C / P / B instruction extensions Memory – 320KB SRAM Storage – 2048KB or 4096KB flash Wireless WiFI 6 802.11b/g/n/ax HT20 up to 114.7Mbps 802.11e QoS Enhancement (WMM). 802.11i (WPA, WPA2, WPA3). Open, shared key, and […]
Rockchip roadmap reveals RK3576 and RK3506 IoT processors, Linux 6.1 SDK
The Rockchip RK3588 processor may remain the most powerful processor from the company for a while as an updated Rockchip IoT processor roadmap reveals the new RK3576 octa-core SoC and RK3506 tri-core Cortex-A7 chip, as well as a Linux 6.1 SDK to be released in Q4 2023. With the limited information we have, the Rockchip RK3576 looks to be a cost-down version of the RK3588 processor with eight cores, a 6 TOPS NPU, a 4K video codec, as well as PCIe and USB-C interfaces. Strangely the Rockchip RK3582 that should serve a similar purpose is not showing up in the roadmap. [Update: The RK3576 is indeed a lower-cost SoC but features four Cortex-A72 and four Cortex-A53 cores instead as per the comparison table reproduced below: That also means we now have the RK3576 specifications (some obtained from another document too): CPU Octa-core Arm processor with 4x Cortex-A72 cores at 2.2 […]
Generative AI on NVIDIA Jetson Orin, Jetpack 6 SDK to support multiple OSes
NVIDIA has had several announcements at ROSCon 2023 related to robotics & embedded with highlights including generative AI on the NVIDIA Jetson Orin module and the Jetpack 6 SDK will be released next month (November 2023) with supports for Ubuntu as usual, but also other operating systems and platforms such as Debian, Yocto, Wind River, Redhawk RTOS, and Balena. Generative AI on NVIDIA Jetson Orin There’s been a lot of hype in the last year about generative AI thanks to services such as ChatGPT, Google Bard, or Microsoft Bing Chat. But those rely on closed-source software that runs on powerful servers in the cloud. As we noted in our article about the “AI in a box” offline LLM solution there are some open-source projects such as Whisper speech-to-text model and Llama2 language models that could be run on embedded hardware at the edge, but as noted by some readers platforms […]
Bluetooth NLC (Networked Lighting Control) fully standardizes Bluetooth light bulbs
Bluetooth NLC (Networked Lighting Control) is a full-stack standard for wireless lighting control from the Bluetooth SIG that will enable multi-vendor interoperability, improve ease of deployment, and offer greater scalability. Bluetooth light bulbs have been around for many years, at first using Bluetooth LE (Radio Layer) and then adding Bluetooth Mesh (Network Layer) to the mix, but there were always some proprietary bits to the software stack, and Bluetooth NLC removes all those with a complete standard for lighting control that further adds Device Profiles specific to his use case. Bluetooth NLC still relies on Bluetooth Low Energy and Bluetooth Mesh, but adds the following NLC Device Profiles at the Device Layer defining the requirements for a range of devices/features: Ambient Light Sensor Basic Lightness Controller Basic Scene Selector Dimming Control Energy Monitor Occupancy Sensor You’ll find the specifications for each profile on the Bluetooth website. While the announcement was […]
Cadence Neo NPU IP scales from 8 GOPS to 80 TOPS
Cadence Neo NPU (Neural Processing Unit) IP delivers 8 GOPS to 80 TOPS in single core configuration and can be scaled to multicore configuration for hundreds of TOPS. The company says the Neo NPUs deliver high AI performance and energy efficiency for optimal PPA (Power, Performance, Area) and cost points for next-generation AI SoCs for intelligent sensors, IoT, audio/vision, hearables/wearables, mobile vision/voice AI, AR/VR and ADAS. Some highlights of the new Neo NPU IP include: Scalability – Single-core solution is scalable from 8 GOPS to 80 TOPS, with further extension to hundreds of TOPS with multicore Supports 256 to 32K MACs per cycle to allow SoC architects to meet power, performance, and area (PPA) tradeoffs Works with DSPs, general-purpose microcontrollers, and application processors Support for Int4, Int8, Int16, and FP16 data types for CNN, RNN and transformer-based networks. Up to 20x higher performance than the first-generation Cadence AI IP, with […]
LuckFox Pico Rockchip RV1103 Cortex-A7/RISC-V camera board comes with an optional Ethernet port
LuckFox Pico is a small Linux camera board based on the Rockchip RV1103 Cortex-A7 and RISC-V AI camera SoC and offered with an Ethernet port in a longer version of the PCB called LuckFox Pico Plus. Both models come with 64MB RAM (apparently embedded in RV1103), a microSD card slot for storage, a MIPI CSI camera connector, a USB Type-C port for power, and a few through holes for expansion through GPIO, I2C, UART, and so on. LuckFox Pico and Pico Plus specifications: SoC – Rockchip RV1103 with Arm Cortex-A7 processor @ 1.2GHz, RISC-V core, 64MB DDR2, 0.8 TOPS NPU, 4M @ 30 fps ISP Storage MicroSD card slot LuckFox Plus only – 1Gbit (128MB) SPI flash (W25N01GV) Camera – 2-lane MIPI CSI connector Networking (LuckFox Pico Plus only) – 10/100M Ethernet RJ45 port USB – USB 2.0 Host/Device Type-C port Expansion – 2x 20-pin headers with up to 24x […]
Firefly AIO-1684XQ motherboard features BM1684X AI SoC with up to 32 TOPS for video analytics, computer vision
Firefly AIO-1684XQ is a motherboard based on SOPHGO SOPHON BM1684X octa-core Cortex-A53 AI SoC delivering up to 32TOPS for AI inference, and designed for computer vision applications and video analytics. The headless machine vision board is equipped with 16GB RAM, 64GB eMMC flash, and 128MB SPI flash, and comes with a SATA 3.0 port, dual Gigabit Ethernet, optional 4G LTE or 5G modules, four USB 3.0 ports, and a terminal block with two RS485 interface, two relay outputs, and a few GPIOs. Firefly AIO-1684XQ specifications: SoC – SOPHGO SOPHON BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3 GHz TPU – Up to 32TOPS (INT8), 16 TFLOPS (FP16/BF16), 2 TFLOPS (FP32) VPU Up to 32-channel H.265/H.264 1080p25 video decoding Up to 32-channel 1080p25 HD video processing (decoding + AI analysis) Up to 12-channel H.265/H.264 1080p25fps video encoding System Memory – 16GB LPDDR4x Storage 64GB eMMC flash 128MB SPI […]
e-con systems See3CAM_24CUG USB 3.1 global shutter camera review
e-con Systems See3CAM_24CUG a full HD color global shutter USB 3.1 Gen 1 camera based on an Onsemi AR0234CS CMOS image sensor capable of capturing moving scenes at up to 120 fps. This global shutter camera is especially useful for robotics and other applications that may require a high frame rate such as Automatic Number Plate Recognition (ANPR), Autonomous Mobile Robots (AMR), gesture recognition, drones, barcode scanners, factory automation, conveyor monitoring cameras, and traffic monitoring systems. e-con Systems sent a See3CAM_24CUG USB global shutter camera sample to CNX Software for review. I’ll go through an unboxing before testing in Ubuntu with both an AMD Ryzen 7 2700U laptop and a Raspberry Pi 4 single board computer. It happens to be based on the same sensor as the e-CAM20_CURB camera for Raspberry Pi 4 that we reviewed last year. See3CAM_24CUG specifications ON Semiconductor AR0234CS CMOS sensor with 1/2.6″ optical form-factor Global […]