AI Vision Robot Arm

$USD484.00

  • TWD: NT$ 15,597

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Description

AI Vision Robot Arm

Handheld Vision Control of the Robotic Arm, Enhancing Visual Recognition Flexibility

Mobile Tracking Visual Recognition: Integration of AI Hand-Eye Coordination

FPV High-Definition Video Control: Utilized for Model Training and Garbage Classification

Paragraph: The AI Vision Robot Arm offers a handheld vision-controlled mechanical arm, enhancing the flexibility of visual recognition. It integrates AI-powered hand-eye coordination for mobile tracking and visual recognition. The arm enables high-definition video control for model training and garbage classification. It is built on the powerful AI computing capabilities of JETSON NANO B01, allowing you to run multiple neural networks, perform object detection, segmentation, and speech processing applications. Equipped with a quad-core Cortex-A57 processor, 128-core Maxwell GPU, and 4GB LPDDR memory, the Jetson Nano provides ample AI computing power with 472 GFLOP computing capabilities. Furthermore, it supports popular AI frameworks and algorithms such as TensorFlow, PyTorch, Caffe/Caffe2, Keras, and MXNet.AI Vision Robot Arm,AI Applications, Applied Device Design, Open Source, Circuit Integration, PCB Design

Based on JETSON NANO B01 powerful AI computing capabilities are provided.

It allows you to run multiple neural networks, object detection, segmentation, and speech processing applications. Jetson Nano is equipped with a quad-core Cortex-A57 processor, 128-core Maxwell GPU, and 4GB LPDDR memory, providing enough AI computing power and offering 472 GFLOP computing power. It also supports a range of popular AI frameworks and algorithms such as TensorFlow, PyTorch, Caffe/Caffe2, Keras, and MXNet.

AI Vision Robot Arm,AI Applications, Applied Device Design, Open Source, Circuit Integration, PCB Design AI Vision Robot Arm,AI Applications, Applied Device Design, Open Source, Circuit Integration, PCB Design

AI Vision Robot Arm,AI Applications, Applied Device Design, Open Source, Circuit Integration, PCB Design

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