UP Squared Pro 7000 SBC features up to Intel Core i3-N305 Alder Lake-N processor, up to 16GB LPDDR5

UP Squared Pro 7000

AAEON UP Squared Pro 7000 is a single board computer (SBC) based on a choice of Alder Lake-N SoCs up to the Core i3-N305 octa-core processor, up to 16GB LPDDR5 RAM, and 64GB eMMC flash. The board supports up to three displays and comes with a MIPI CSI port, dual 2.5GbE networking, three USB 3.2 ports, two RS232/RS422/RS485 interfaces, as well as several M.2 sockets for storage and wireless expansion that makes it suitable for machine vision solutions for smart factories, robotics applications, and retail/digital signage. UP Squared Pro 7000 specifications: Alder Lake-N SoC (one or the other) Intel Core i3-N305 octa-core processor up to 3.8 GHz with 6MB cache, 32EU Intel UHD Graphics Gen 12 @ 1.25 GHz; TDP: 15W Intel Atom x7425E quad-core processor up to 3.4 GHz with 6MB cache, 24EU Intel UHD Graphics Gen 12 @ 1.0 GHz; TDP: 12W Intel Processor N97 quad-core processor up […]

Makeblock Ultimate 2.0 review – A multi-function 10-in-1 educational robot kit

Makeblock Ultimate 2.0 robot kit review

Makeblock Ultimate 2.0 is an educational robot kit that can be used to easily create up to 10 different types of robots. An Arduino-compatible Mega 2560 MCU board serves as the main controller and there are over 550 mechanical parts and electronic modules. The robot can drive up to 4 encoder and stepping motors, control up to 10 servo motors to work simultaneously, and can also be connected to Arduino and Raspberry Pi boards for more complex projects. The review/tutorial is fairly long, so if you are short on time, you can jump to different sections by clicking on some of the links below: MegaPi control board and main modules description mBlock 5 visual-programming IDE installation Programming of DC Encoder motors, Ultrasonic sensor, Line follower module, motion sensor, RJ25 adapter, and shutter module mBlock mobile app Building the ten models for the Makeblock Ultimate 2.0 robot kit (as shown in […]

AAEON BOXER-8224AI – An NVIDIA Jetson Nano AI Edge embedded system for drones

BOXER 8224AI board AI Edge NVIDIA Jetson Nano embedded system

AAEON BOXER-8224AI is a thin and lightweight AI edge embedded system solution based on NVIDIA Jetson Nano system-on-module and designed for drones, or other space-constrained applications such as robotics. AAEON BOXER products are usually Embedded Box PCs with an enclosure, but the BOXER-8224AI is quite different as it’s a compact and 22mm thin board with MIPI CSI interfaces designed to add computer vision capability to unmanned areal vehicles (UAV), as well as several wafers for dual GbE, USB, and other I/Os. BOXER-8224AI specifications: AI Accelerator – NVIDIA Jetson Nano CPU – Arm Cortex-A57 quad-core processor System Memory – 4GB LPDDR4 Storage Device – 16GB eMMC 5.1 flash Dimensions – 70 x 45 mm Storage – microSD slot Display Interface – 1x Mini HDMI 2.0 port Camera interface – 2x MIPI CSI connectors Networking 2x Gigabit Ethernet via wafer connector (1x NVIDIA, 1x Intel i210) Optional WiFi, Bluetooth, and/or cellular connectivity […]

Using ChatGPT for Robotics – Programming myCobot 280 robotic arm with natural language (Sponsored)

ChatGPT myCobot 280 Robotic Arm

ChatGPT AI chatbot can help engineers write programs, and we recently tested it by letting it write a Python program to read data from an I2C accelerometer. But it can be used for more advanced programs and Microsoft Autonomous Systems and Robotics Group used ChatGPT for robotics and programmed robot arms, drones, and home assistant robots intuitively with (human) language. The long-term goal is to let a typical user control/program a robot without having an engineer write code for the system. Microsoft explains that the current robotics pipelines begin with an engineer or technical user that needs to translate the task’s requirements into code for the system. That’s slow, expensive, and inefficient because a user needs to write code, skilled workers are not cheap, and several interactions are required to get things to work properly. With ChatGPT or other large language models (LLM), a user could “program” the robot with […]

SOPHON BM1684/BM1684X Edge AI computer delivers up to 32 TOPS, decodes up to 32 Full HD videos simultaneously

Sophon BM1684 BM1684X Edge AI computer

Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD are nearly identical Edge AI embedded computers based on respectively SOPHON BM1684 and BM1684X Arm AI SoC delivering up to 32 TOPS of AI inference, and capable of decoding up to 32 H.265/H.264 Full HD videos simultaneously for video analytics applications. The BM1684(X) SoCs are equipped with eight Cortex-A53 cores clocked at 2.3 GHz to run Linux, and the systems come with up to 16GB RAM, 128GB flash, two Gigabit Ethernet ports to receive the video streams, one HDMI output up to 1080p30 for monitoring,  as well as RS232 and RS485 DB9 connectors, and a few USB ports. Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD specifications: SoC – SOPHGO SOPHON BM1684/BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3GHz TPU BM1684 64 NPU arithmetic units with each NPU containing 16 EU arithmetic units, or 1,024 EU in total Up to 17.6 TOPS (INT8), […]

Cincoze P1201 – A slim Atom x6000E Elkhart Lake PC for embedded and panel PC applications with a CDS connector

Elkhart Lake Embedded PC Panel PC

Cincoze P1201 is a slim embedded computer based on an Atom x6000E Elkhart Lake processor and mostly designed for panel PC applications thanks to the company’s patented CDS (Convertible Display System) connector that allows the mini PC to slide into the back of a display for easy installation. Equipped with up to 32GB RAM, SATA and/or mSATA storage, the P1201 can also be used for generic embedded and industrial applications thanks to DisplayPort and VGA video interfaces, two Gigabit Ethernet ports, optional wireless modules for WiFi, Bluetooth, and cellular, terminal blocks for RS232, RS485, and digital I/Os, as well as support for a wide supply voltage up 48V, and a -40°C to 70°C operating temperature range. Cincoze P1201 specifications: Elkhart Lake SoC (one or the other) Intel Atom x6425E quad-core processor @ 2.00 GHz / 3.0 GHz with 1.5MB cache, 32 EU UHD graphics; 12W TDP Intel Atom x6211E dual-core […]

Servo and motor control with Raspberry Pi Pico, CircuitPython, and Wukong 2040 breakout board

Raspberry Pi Pico Wukong 2040 Motor Control CircuitPython

ELECFREAKS Wukong 2040 is a multifunctional breakout board designed for Raspberry Pi Pico. It is equipped with interfaces for four DC motors, up to twelve servos, a buzzer, A\B buttons, RGB “rainbow” lights, a Reset button, etc… The board can be powered by a single 18650 3.7V LiPo battery and integrates a power management IC that monitors the battery level and can also charge the battery via a USB charger. Battery life is typically 60 minutes per charge but can last over 120 minutes depending on the load.   Wukong 2040 key features and specifications Description of the Wukong 2040 interfaces Specifications and dimensions of the Wukong 2040 Expansion Board for Raspberry Pi Pico The Wukong 2040 breakout board for the Raspberry Pi Pico can control up to four DC motors and up to 12 servo motors as shown in the diagram below. Pinout diagram of the Wukong 2040 board […]

MIPI CSI camera works with Intel Atom x7000, Processor, and Core i3 Alder Lake-N processors

Alder Lake-N Customer Reference Board MIPI CSI camera

Most Intel processors do not come with a MIPI CSI camera, but some Alder Lake-N processors do, and Leopard Imaging has designed the LI-ADL-ADP-IMX415-MIPI-081H MIPI CSI camera module that is compatible with the Intel ADL-N CRB (Alder Lake-N Customer Reference Board) and custom Alder Lake-N boards equipped with a compatible MIPI CSI connector. The 13MP camera supports resolutions up to 3864 x 2176 and works with boards and embedded systems based on Intel Atom processors x7000E Series, Intel Core i3-N processors, and Intel Processors N-Series processors. LI-ADL-ADP-IMX415-MIPI-081H specifications: Sony IMX415 CMOS image sensor Diagonal – 6.43 mm (Type 1/2.8) Active Pixels – 3864 (H) x 2176 (V) Pixel Size: 1.45 x 1.45 μm Optical Format: 1/2.8″ Effective Focal Length – 4.063 mm Aperture, F/#2.29 ± 5% IR Filter – 650 nm IR cut filter Field of View (FOV) – 81.7˚ horizontal, 44.7˚ vertical; 95.1˚ diagonal Lens Mount – M12 x […]

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