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Raspberry Pi
Hiwonder ArmPi FPV AI Vision Raspberry Pi 5 ROS Robotic Arm with Python Open Source
Product SKU: 21010016
- 【ROS Robot Arm Powered by Raspberry Pi】ArmPi FPV is an open-source AI robot arm based on Robot Operating System and powered by Raspberry Pi. Loaded with high-performance intelligent servos and AI camera, and programmable using Python, it is capable of vision recognition and gripping.
- 【AI Vision Recognition and Tracking】A HD wide-angle camera is positioned at the end of ArmPi FPV, providing real-time First-Person View (FPV) transmission with a resolution of 100W pixels. By processing images with OpenCV, it can recognize color, tag and human face, opening up a wide range of AI applications, such as color sorting, target tracking, intelligent stacking and face detection.
- 【Inverse Kinematics Algorithm】ArmPi FPV employs an inverse kinematics algorithm, enabling precise target tracking and gripping within. It also provides detailed analysis on inverse kinematics, DH model, and offers the source code for the inverse kinematics function.
- 【Robot Control Across Platforms】ArmPi FPV provides multiple control methods, like WonderPi app (compatible with iOS and Android system), wireless handle, mouse, PC software and Robot Operating System, allowing you to control the robot at will.
- 【Abundant AI Applications】Guided by intelligent vision, ArmPi FPV excels in executing functions such as stocking in, stocking out, and stock transfer, realizing integration into Industry 4.0 environments.
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Questions & Answers
Have a Question?
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I bought this device but i am not able to ssh the ubuntu user due to wrong password. what is the default password for this?
Please try 'hiwonder'; To detailed instructions, please check this file: https://drive.google.com/drive/folders/1uIGWV3cc0yc9JJ1B5xtIsUK3j8-QFNM9?usp=sharing
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I bought this device where can I find the software to download for raspberry pi
Check this link: https://drive.google.com/drive/folders/11wl0ss4zelJUnhpM2iadch4rDxFnV4dg?usp=drive_link; The related software can be found in the Appendix folder:)