Sparkfun ZED-F9R GPS RTK

Sparkfun Launches the ZED-F9R GPS Dead Reckoning Raspberry Pi pHAT for Mobile Robots

The SparkFun ZED-F9R GPS pHAT module is targeted at single board computers like the Raspberry Pi, Jetson Nano, and other boards with the 2 x 20mm header form factor supporting the GPS RTK (Real-time kinematic) capable of centimeter-level accuracy. Dead Reckoning in robotics allows one to calculate one’s position by using a previously known location or landmarks. Dead Reckoning is an essential aspect of robot navigation, especially Autonomous vehicles like mobile robots or  UAVs. For dead Reckoning to be realistic and minimize the position uncertainty, it usually requires the fusion of position estimation sources like Lidar, Radar, IMU, Odometry, GNSS, accelerometer, and some others. Sparkfun understands this and has launched the Dead Reckoning add-on module that can be used for applications in mobile robots, UAVs, and others. The Sparkfun ZED-F9R GPS pHAT is an exciting sensor fusion board (having been a fan of Extended Kalmar Filter) that provides accurate and […]

SyncBot educational mobile robot RBX-I2000 controller

SyncBot educational mobile robot supports NVIDIA Xavier NX or Intel Tiger Lake controller

Syncbotic Syncbot is a four-wheel autonomous mobile robot (AMR) platform for research and education that can be fitted with an NVIDIA Xavier NX or an Intel Apollo Lake/Tiger Lake-based controller running Ubuntu 20.04 operating system with ROS 2 framework, and comes with an motion control MCU board with an EtherCat master and running Zephyr OS. The robot comes with four 400W TECO servo motors, can handle up to 80kg payloads for sensors and a robotic arm, features 12V and 24V power output for sensors, four USB 3.0 ports, and can also be equipped with an eight-camera kit with Intel RealSense and ToF cameras. Syncbot AMR specifications: Robot Controller Platform (one or the other) SyncBotic A100 evaluation ki (Apollo Lake E3940) SyncBotic SBC-T800 series (Intel Tiger Lake UP3) SyncBotic SBC W series (Intel Tiger Lake UP3, waterproof version) SyncBotic NSync-200 series (NVIDIA NX) Dimensions – 200 x 190 mm STM32-based Motion […]

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quad-camera system automotive AI & machine vision

Rugged, fanless quad-camera system brings AI and Machine Vision to rolling stock and automotive applications

Eurotech BoltGPU 10-31 is a rugged fanless embedded system powered by NVIDIA Jetson Xavier NX module, equipped with four FAKRA connectors for GMSL camera, and designed to bring Edge AI and machine vision to rolling stock (e.g. trains) and automotive applications. The BoltGPU 10-31 also features 16 GB of eMMC flash, NVMe SSD support, three Gigabit Ethernet interfaces, WiFI 6 and Bluetooth 5.1, two USB3.1 ports, as well as isolated CAN-FD,  optoisolated DIO,  video out, and GNSS with optional RTK. BoltGPU 10-31 specifications: System-on-Module – NVIDIA Jetson Xavier NX with hexa-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 cache, 384-core NVIDIA Volt GPU with 48 Tensor Cores (up to 21 TOPS of accelerated computing), 8 GB LPDDR4x RAM, 16GB eMMC 5.1 flash Storage MicroSD card socket Optional 512 GB NVMe SSD on M.2 Key M socket 256 Kbit Serial EEPROM Video Output – 1x Mini […]

Boardcon MINI1126B-P AI vision system-on-module wit Rockchip RV1126B-P SoC