computer vision

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Geniatech APC888 NXP i.MX 95-powered Edge AI Box PC takes M.2 AI accelerator from Hailo, MemryX, NXP, or DeepX

Geniatech APC888 NXP i.MX 95-powered Edge AI Box PC takes M.2 AI accelerator from Hailo, MemryX, NXP, or DeepX

Geniatech APC888

Geniatech APC888 Edge AI Box PC is powered by an NXP i.MX 95 Cortex-A55/M7/M33 applications processor, and features an M.2 socket for AI accelerator from Hailo, MemryX, DeepX, or Kinara (now NXP). The system comes with 4GB LPDDR5 and 32GB eMMC flash by default, features two Gigabit Ethernet ports, optional WiFi, Bluetooth, cellular, and GNSS connectivity, and two USB 3.0 ports. It’s available in commercial and industrial temperature grades. Geniatech APC888 specifications: SoC – NXP i.MX 95 CPU Up to 6x Arm Cortex-A55 application cores clocked at 1.8 GHz with 32KB I-cache and D-cache, 64KB L2 cache, and 512KB L3 cache 1x Arm Cortex-M7 real-time core clocked at 800 MHz 1x Arm Cortex-M33 safety core clocked at 333 MHz GPU – Arm Mali-G310 V2 GPU for 2D/3D acceleration with support for OpenGL ES 3.2, OpenCL 3.0 VPU 1080p60/4Kp30 H.265 and H.264 encode and decode JPEG Encoder, JPEG Decoder Decoding – […]

Posted on by Debashis Das - 1 Comment on DEEPX DX-AIPlayer N97 mini PC combines Intel N97 SoC and 25 TOPS DX-M1 AI accelerator

DEEPX DX-AIPlayer N97 mini PC combines Intel N97 SoC and 25 TOPS DX-M1 AI accelerator

DX AIPlayer N97 AI Edge Box

DEEPX has just launched the DX-AIPlayer, an ultra-compact edge AI mini PC with an Intel Processor “Alder Lake-N” N97 SoC and the company’s DX-M1 M.2 AI accelerator module. The system is designed for real-time vision AI applications in robotics, smart cities, and factory automation. We’ve seen plenty of Alder Lake-N mini PCs like the Jetway B420UADN1, the Avalue EPC-ASL, the AAEON UP 710S, and various others, but the DX-AIPlayer N97 is different as it integrates the DX-M1 module via an M.2 2280 M-Key (PCIe Gen 3 x4) slot. The NPU delivers up to 25 TOPS of INT8 AI performance while consuming only 1 to 5 Watts of power, and features 4GB of dedicated LPDDR5 memory to handle larger workloads and multi-model execution without bottlenecking the host system’s RAM. DEEPX DX-AIPlayer N97 specifications: SoC – Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24 EU Intel UHD graphics […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Geniatech launches Renesas RZ/V2N, RZ/V2H, and RZ/V2L OSM Size-M/L system-on-modules

Geniatech launches Renesas RZ/V2N, RZ/V2H, and RZ/V2L OSM Size-M/L system-on-modules

Renesas OSM system-on-modules Geniatech

Geniatech has introduced three OSM system-on-modules powered by Renesas RZ/V2N/V2H/V2L Cortex-A55/M33 microprocessors, namely the OSM Size-M (45x35mm) SOM-V2N-OSM, plus the OSM Size-L (45x45mm) SOM-V2H-OSM and SOM-V2L-OSM modules, all designed for Edge AI and computer vision applications. Geniatech SOM-V2N-OSM Specifications: SoC – Renesas RZ/V2N CPU Quad-core Arm Cortex-A55 @ 1.8 GHz Arm Cortex-M33 @ 200 MHz GPU – Arm Mali-G31 3D graphics engine (GE3D) with OpenGL ES 3.2 and OpenCL 2.0 FP VPU – Encode & decode H.264 – Up to 1920×1080 @ 60 fps (Renesas specs, but SOMDEVICES also mentions up to 4K @ 30 FPS) H.265 – Up to 3840×2160 @ 30 fps AI accelerator – DRP-AI3 up to 4 dense TOPS / 15 sparse TOPS System Memory – 8GB LPDDR4x RAM Storage – 64GB eMMC flash 476 LGA contacts with Display – 4-lane MIPI-DSI Camera – 2x 4-lane MIPI CSI-2 Audio – 2x I²S Networking – 2x Gigabit Ethernet […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Renesas RZ/V2H Robotics Development Kit handles AI vision, motor control, and power management with a single board

Renesas RZ/V2H Robotics Development Kit handles AI vision, motor control, and power management with a single board

Renesas RZ/V2H Robotic Development Kit

Renesas WS125-V2HRDKREFZ is a Robotics Development Kit (RDK) powered by Renesas RZ/V2H Arm Cortex-A55/R8/M33 microprocessor and designed for high‑performance AI vision applications leveraging the MPU’s built-in 80 TOPS (sparse) AI accelerator. The kit ships with 16GB LPDDR4, 64MB QSPI flash, a 64GB microSD card, and appears to be partially inspired by the Raspberry Pi 5 with a 40-pin Raspberry Pi GPIO header, a 16-pin PCIe Gen3 FFC connector, two MIPI CSI connectors, and a micro HDMI port. Other features include a Gigabit Ethernet port, two USB 3.2 ports, two CAN-FD interfaces, and a 12-24V DC input voltage range. Renesas WS125-V2HRDKREFZ specifications: SoC – Renesas RZ/V2H CPU/MCU cores 4x Arm Cortex-A55 cores up to 1.8 GHz 2x Cortex-R8 real-time cores up to 800 MHz Arm Cortex-M33 microcontroller core up to 200 MHz for system management GPU – Arm Mali-G31 GPU NPU – DRP-AI3 dynamically reconfigurable processor delivering up to 8 TOPS (INT8) or […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Banana Pi BPI-OM7 AI 3D camera pairs BPI-M7 RK3588 SBC with ORBBEC Gemini 2 depth camera

Banana Pi BPI-OM7 AI 3D camera pairs BPI-M7 RK3588 SBC with ORBBEC Gemini 2 depth camera

Banana Pi BPI-OM7

Banana Pi BPI-OM7 is an AI 3D depth camera that combines Banana Pi BPI-M7 low-profile Rockchip RK3588 SBC with an ORBBEC Gemini 2 depth camera, targeting applications in 3D vision, robotics, edge AI, and spatial perception. The solution ships with 8GB of RAM and a 64GB eMMC flash by default, offers HDMI and USB-C video outputs, dual 2.5GbE networking, and a few USB ports. It’s mounted on a tripod for convenience. Banana Pi BPI-OM7 specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex‑A76  cores @ up to 2.4 GHz, 4x Cortex‑A55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1, 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – 8Kp30 H.265/H.264 video encoder AI accelerator – 6 TOPS NPU System Memory – 8GB (default), 16GB, or 32GB LPDDR4x Storage 32GB, 64GB (default), or 128GB eMMC flash […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on $4,290+ Unitree R1-A5 and R1-A7 humanoid robots features grippers or dexterous hands, fixed or wheeled base

$4,290+ Unitree R1-A5 and R1-A7 humanoid robots features grippers or dexterous hands, fixed or wheeled base

Unitree R1-A7 dual-arm humanoid robot

Unitree has extended its R1 dual‑arm humanoid robot family with new R1-A5 and R1-A7 models, which can be fitted with 2-finger grippers or 3 or 5-finger dexterous hands, and attached to a fixed base or a wheeled base for indoor mobility. The new robots appear based on the low-cost Unitree R1 platform launched last year, which can dance, walk, run, perform kung-fu moves, and chat with users, but is otherwise not overly useful since it lacks dexterous hands. The R1-A5 and R1-A7 won’t be able to dance, since they don’t come with legs, but the upper body comes with a head and two arms equipped with grippers or dexterous hands, which could perform useful tasks in combination with binocular vision. Four new models are available with the following specifications: They mostly share the same specifications, but the R1-A7 has longer arms and adds 4 degrees of freedom (2 extra per […]

Posted on by Debashis Das - No Comments on SamuRoid – A Raspberry Pi-powered 22-DOF humanoid robot with Multimodal LLMs and ROS support

SamuRoid – A Raspberry Pi-powered 22-DOF humanoid robot with Multimodal LLMs and ROS support

SamuRoid AI Humanoid Robot with Raspberry Pi

Shenzhen Xiao R Geek Technology (XiaoR GEEK) SamuRoid is a 22-DOF bionic humanoid robot built around a Raspberry Pi 4 Model B. Designed for researchers, educators, and robotics developers, the robot combines a traditional Robot Operating System (ROS) environment with modern embodied AI capabilities. The concept of SBC-powered humanoid robots is not new, and we have previously seen similar robots, such as the Tonybot and PiMecha, which focused on basic servo control, OpenCV vision, and beginner-friendly programming. Compared to those, SamuRoid is priced significantly higher but offers a more advanced setup with tighter hardware-software integration and support for multimodal interaction that combines vision, voice, and large language models. We have also seen a simpler, but larger bipedal robot like the Mini π. SamuRoid specifications SBC – Raspberry Pi 4 Model B (4GB or 8GB RAM options) Actuators – 22x XRS-series bus servos delivering ≥ 30 kgf · cm of torque at 12V […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on UGV Beast – An off-road tracked AI robot built for Raspberry Pi 4/5

UGV Beast – An off-road tracked AI robot built for Raspberry Pi 4/5

Waveshare UGV Beast

Waveshare UGV Beast is an off-road robot with tracked wheels designed for Raspberry Pi 4 or 5 SBC handling AI vision and strategy planning, while an ESP32 sub-controller takes care of motion control and sensor data processing. If the design feels familiar, it’s because it’s a variant of the UGV Rover unmanned ground vehicle we covered in 2024, which replaces the six wheels of the original model with two continuous tracks, as found in military tanks, for better driving in difficult terrain. Waveshare UGV Beast specifications: Supported SBCs – Raspberry Pi 4B or Raspberry Pi 5 Multi-function driver board/sub-controller Main SoC – ESP32 wireless microcontroller with WiFi, Bluetooth, ESPNOW connectivity Motor drivers – 2x TB6612FNG chips Peripheral interfaces 4x motor control connectors 2x servo connectors Lidar USB (4-pin) and UART (USB-C) connectors 2x 4-pin I2C connectors Sensor – 9-axis attitude sensor (ICM20948) for image stabilization Misc – EN and user […]

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