computer vision

Posted on by Jean-Luc Aufranc (CNXSoft) - 7 Comments on $70 Raspberry Pi AI Kit combines official M.2 HAT+ with Hailo-8L AI accelerator

$70 Raspberry Pi AI Kit combines official M.2 HAT+ with Hailo-8L AI accelerator

Raspberry Pi AI Kit Raspberry Pi 5

Raspberry Pi Limited has just launched the “Raspberry Pi AI Kit”  comprised of the official M.2 Key M HAT+ and a 13 TOPS Hailo-8L M.2 AI accelerator module and selling for $70 through distributors. We had seen Raspberry Pi showcase an AI camera at Embedded World 2024, so when I received an email from a representative about a “Raspberry Pi AI Kit” I thought it would be the announcement about the camera. Instead, it’s a kit comprised of existing parts with the most interesting aspects being the price and availability (hopefully) since Hailo-8/8L accelerators are mostly found in more expensive embedded/industrial solutions, and easier documentation to get started. Raspberry Pi AI Kit highlights: Supported SBC – Raspberry Pi 5 M.2 HAT+ with PCIe Gen2 x1 interfaces, M.2 Key M support, Hailo-8L AI accelerator with Up to 13 TOPS of performance M.2 2242 form factor Typical power consumption – 1.5W Thermal […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 19 Comments on Radxa Fogwise Airbox edge AI box review – Part 1: Specifications, teardown, and first try

Radxa Fogwise Airbox edge AI box review – Part 1: Specifications, teardown, and first try

Radxa Fogwise Airbox review

Radxa Fogwise Airbox, also known as Fogwise BM168M, is an edge AI box powered by a SOPHON BM1684X Arm SoC with a built-in 32 TOPS TPU and a VPU capable of handling the decoding of up to 32 HD video streams. The device is equipped with 16GB LPDDR4x RAM and a 64GB eMMC flash and features two gigabit Ethernet RJ45 jacks, a few USB ports, a speaker, and more. Radxa sent us a sample for evaluation. We’ll start the Radxa Fogwise Airbox review by checking out the specifications and the hardware with an unboxing and a teardown, before testing various AI workloads with Tensorflow and/or other frameworks in the second part of the review. Radxa Fogwise Airbox specifications The specifications below come from the product page as of May 30, 2024: SoC – SOPHON SG2300x CPU – Octa-core Arm Cortex-A53 processor up to 2.3 GHz VPU Decoding of up to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 18 Comments on Arm unveils Cortex-X925 and Cortex-A725 CPUs, Immortalis-G925 GPU, Kleidi AI software

Arm unveils Cortex-X925 and Cortex-A725 CPUs, Immortalis-G925 GPU, Kleidi AI software

Arm SoC with Cortex-X925 Cortex-A725 Cortex-A520 CPU with Immortalis-G925 GPU

Arm has just announced new Armv9 CPUs and Immortalis GPUs for mobile SoCs, as well as the Kleidi AI software optimized for Arm CPUs from Armv7 to Armv9 architectures. New Armv9.2 CPU cores include the Cortex-X925 “Blackhawk” core with significant CPU and AI performance improvements, the Cortex-A725 with improved performance efficiency, and a refreshed version of the Cortex-A520 providing 15 percent efficiency improvements. Three new GPUs have also been introduced namely the up-to-14-core Immortalis-G925 flagship GPU which delivers up to 37% 3D graphics performance improvements over last year’s 12-core Immortalis-G720, the Mali-G725 with 6 to 9 cores for premium mobile handsets, and the Mali-G625 GPU with one to five cores for smartwatches and entry-level mobile devices. Arm Cortex-X925 The Arm Cortex-X925 delivers 36 percent single-threaded peak performance improvements in Geekbench 6.2 against a Cortex-X4-based Premium Android smartphone, and about 41 percent better AI performance using the time-to-first token of tiny-LLama […]

Posted on by Debashis Das - 1 Comment on Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

Avnet AI Vision Development Kit features Qualcomm QCS6490 SoC, dual camera, GbE, and USB-C PD

QCS6490 Vision AI Development Kit

Just last month at Embedded World 2024, Qualcomm announced its RB3 Gen 2 Platform based on the QCS6490 processor with Cortex-A78 and A55 processing cores and 12 TOPS of AI power. Building on this, Avnet has recently launched the Avnet AI Vision Development Kit, also based on the QCS6490 SoC. The kit includes a dual camera setup, Gigabit Ethernet connectivity, USB-C Power Delivery, and a host of other features for applications like inventory and asset monitoring, drone/UAV/other mobile vision-AI edge compute applications, and multi-camera security systems with recognition. Previously we have written about similar AI dev kits including Allwinner V853 100ASK-V853-Pro, Sipeed Maix-III devkit, RZBoard V2L, and many other AI vision development boards feel free to check those out if you are interested in the topic. Avnet AI Vision Development Kit specifications SM2S-QCS6490 SMARC Compute Module: CPU – 4x Arm Cortex-A78 (up to 2.7 GHz), 4x Arm Cortex-A55 (up to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on XGO-Rider is a 2-wheel self-balancing robot with an ESP32 controller plus either a Raspberry Pi CM4 or BBC Micro:bit (Crowdfunding)

XGO-Rider is a 2-wheel self-balancing robot with an ESP32 controller plus either a Raspberry Pi CM4 or BBC Micro:bit (Crowdfunding)

XGO-Rider

XGO-Rider is a two-wheel self-balancing robot with an ESP32 controller for motor and servo control, USB-C charging, etc… and a choice between a Raspberry Pi CM4 module or a BBC Micro:bit board for display, audio, and camera (CM4-only). It’s not the first robot from Luwu Intelligence, since the company launched the XGO-Mini robot dog in 2021, followed by the XGO 2 Raspberry Pi CM4-powered desktop robotic dog with an arm which we reviewed last year. The new XGO-Rider builds on these earlier models but in a different form factor moving from four-legged robots to a 2-wheel self-balancing robot design with many of the same features including AI vision running on the Raspberry Pi CM4. XGO-Rider specifications: Host controller (one or the other) Raspberry Pi CM4 with 2GB RAM + ESP32 for main control, USB-C charging port, DIP switch BBC Micro:bit V2 + ESP32 for main control, USB-C charging port, DIP […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 12 Comments on Sipeed MaixCAM is a RISC-V AI camera devkit with up to 5MP camera, 2.3-inch color touchscreen display, GPIOs

Sipeed MaixCAM is a RISC-V AI camera devkit with up to 5MP camera, 2.3-inch color touchscreen display, GPIOs

Sipeed MaixCAM

Sipeed MaixCAM is an AI camera based on SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC with a 1 TOPS NPU that takes up to 5MP camera modules and comes with a 2.3-inch color touchscreen display. The development kit also comes with WiFi 6 and BLE 5.4 connectivity, optional Ethernet, audio input and output ports, a USB Type-C port, and two 14-pin GPIO headers for expansion that makes it suitable for a range of computer vision, Smart audio, and AIoT applications. Sipeed MaixCAM specifications: SoC – SOPHGO SG2002 CPU 1 GHz RISC-V C906 processor or Arm Cortex-A53 core (selectable at boot) running Linux 700 MHz RISC-V C906 core running an RTOS 25 to 300 MHz low-power 8051 processor NPU – 1 TOPS @ INT8 with support for models such as Mobilenetv2, YOLOv5, YOLOv8, etc… Video Codec – H.264, H.265, MJPEG hardware encoding and decoding up to 2K @ 30fps Memory […]

Posted on by Debashis Das - No Comments on Waveshare UGV Rover – A 6-wheel AI robot built around Raspberry Pi 4/5 and ESP32

Waveshare UGV Rover – A 6-wheel AI robot built around Raspberry Pi 4/5 and ESP32

Waveshare Unmanned Ground Vehicle Rover(UGV) for Raspberry Pi 4 and Pi 5

The Waveshare UGV Rover is a 6-wheel robot platform based on Raspberry Pi 4 or 5 as well as an ESP32 module and built for remote exploration, object recognition, and autonomous navigation. Since the source code for the platform will be open-sourced it can also be used for educational purposes, programming, robotics, AI experimentation, and many other applications. This Unmanned Ground Vehicle (UGV) rover features a 2mm thick aluminum body, six 80mm shock-absorbing tires, and a four-wheel drive system controlled by an ESP32 sub-controller. The sub-controller also handles sensors, LiDAR, cameras, and more. The brain or the main controller of the rover is a Raspberry Pi SBC – either a Pi 4B or Pi 5 – which notably handles computer vision and machine learning operations. Since the mounting holes are designed to fit a Raspberry Pi, it is safe to assume that it will fit other SBCs with the same […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on QNAP TS-216G 2-bay NAS features a quad-core Arm processor with NPU for image sorting and searching

QNAP TS-216G 2-bay NAS features a quad-core Arm processor with NPU for image sorting and searching

QNAP TS-216G

QNAP TS-216G 2-bay NAS features a quad-core Arm Cortex-A55 processor with an NPU for AI-powered photo management, 4GB RAM, 2.5GbE and GbE networking ports, two hot-swappable 3.5-inch SATA bay, and a few USB ports. It looks to be an update to the Rockchip RK3566-powered QNAP TS-133/TS-223 with more memory (4GB vs 2GB) and more advanced networking capability (2.5GbE+GbE vs GbE only), while still keeping the object and face recognition capabilities. QNAP TS-216G specifications: SoC – Unnamed but likely Rockchip RK3566 CPU – Quad-core Cortex-A55 clocked at up to 2.0 GHz GPU – Mali-G52 Neural Processing Unit (NPU) Hardware-accelerated Transcoding Encryption Engine System Memory – 4 GB RAM Storage 4 GB eMMC flash (dual boot OS protection) 2x 3.5-inch SATA III bay also supporting 2.5-inch SATA SSDs; hot-swappable Networking 2.5GbE RJ45 jack Gigabit Ethernet jack Wake-on-LAN (WoL) and Jumbo Frame support Number of Concurrent Connections (CIFS) – Up to 200 USB […]

UP 7000 x86 SBC