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Raspberry Ai

I 10 migliori prodotti di giugno 2025
Ultimo aggiornamento: 18 giugno 2025
Yahboom
Yahboom
Yahboom Hailo-8L/Hailo-8 AI Acceleration Module,13 TOPS/26 TOPS Computing Power,PCIe to M.2 SSD Expansion Board Kit,Compatible with RPi-5 (Hailo-8L 13T AI HAT+ Official Kit)
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87

QUALITÀ AFFIDABILE

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Amazon.it
#5

  • Powerful and efficient edge AI acceleration chip: Hailo AI chip has 13TOPS or 26TOPS high-performance AI architecture; typical power consumption is 2.5W; supports multiple data streams, multiple neural networks and multi-chip stacking.
  • Supports installation of radiator: The official M.2 HAT+ PCIe to M.2 SSD expansion board supports the installation of the official active radiator. The Yahboom M.2 HAT+ PCIe to M.2 SSD expansion board can be stacked on the back and is compatible with various radiator installations.
  • Efficient AI reasoning architecture: Complete tool chain helps deep neural network models to be deployed quickly and efficiently, using distributed computing and more than 30 patent certifications
  • Building environment and operating environment: seamless integration with existing deep learning architecture, more than 100 kinds of general free models, AI computing performance through effective use of neural network core resources; pre-trained templates, combined with AI tasks and complete data path applications; real-time runtime library, intuitive API (C/C++/Python)
  • Hailo's powerful and scalable AI technology enables new features in various market sectors and is widely used in smart cities, assisted driving, industrial fields and digital products.
  • 109,99 € SU AMAZON
Yahboom
Yahboom
Yahboom Robotic Arm Raspberry Pi5 8GB Robot Kit AI Hand Building AI Visual Camera 6-DOF Programmable AI Electronic DIY ROS Open CV Source Ubuntu22.04 (with Pi 5-8GB)
Spedizione gratuita
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81

QUALITÀ BUONA

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Amazon.it
#7

  • 【Artificial Intelligence Robotic Arm with Camera】Robotic arm comes with camera to achieve FPV video transmission. The robotic arm can recognize colors, specific gestures and faces, respond to the recognized gestures and track the recognized faces, track the corresponding colors, and grab the corresponding designated color objects. These recognition, tracking and grabbing actions fully reflect the AI bionic characteristics of robot arm. DOFBOT starts to take you into the field of AI robotics.
  • 【DOFBOT Motion Control】 Robotic arm not only has its own fixed action group, but also can perform custom actions. In terms of control method, we can use the Master Machine to control the Slave Machine to achieve remote operation of real-time transmission of action gestures. What’s more,the ros system can be used to build obstacle models, so that the robotic arm can avoid opening the obstacles to operate. Flexible arms can complete complex tasks for you
  • 【Freely enjoy 5 control methods】 The programmable robot arm kit can use the multi-function APP (Android/iOS) to operate most of the functions; the kit is equipped with a USB gamepad remote control to achieve the best control feeling; it can also be used PC upper computer view image transmission; 3D simulation model construction of ROS system; Jupyter Lab webpage online programming. 5 kinds of interconnected control methods can enjoy the fun of robotic arm
  • 【Top Configuration】Dofbot uses 15kg smart serial bus metal gear digital servo, which is conducive to separately controlling and reading the angle of each steering gear; equipped with a fully functional expansion board, reserved for continued expansion; the robotic arm is made of fully anodized aluminum alloy with a beautiful and strong structure
  • 【Easy to Get Start & Online Technical Support】The assembled robotic arm can be controlled directly by simply installation and quick connection to the network (Based on the factory burned image). However, this robotic arm is for DIY makers with basic Python programming knowledge. Yahboom provide a large amount of course materials and online technical support is available. If you encounter difficulties, pls contact Yahboom. ***Raspberry Pi 5 (4G or 8G) is recommended
  • 407,99 € SU AMAZON