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Yahboom Raspberry Pi 4B Adults AI Smart Robot Dog Python Programmable 12 Joints Bionic Mechanical Dog DOGZILLA Face Color Recognition OpenCV (DOGZILLA S2 Without Pi 4B)


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DOGZILLA S2 without Pi 4B
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Purchase options and add-ons

  • S2 comes with a lidar and intelligent voice module, which can achieve functions such as mapping navigation, lidar avoiding and following, and voice control.
  • Can walk and twist like a real dog.
  • Equipped with 6 high-precision servo motors, a safe and non-toxic aluminum alloy body, and a wide-angle camera. S2 has added lidar and voice interaction modules.
  • Using Raspberry Pi as the controller, we have upgraded the Ubuntu 20.04 ROS2 system to support Python programming and RVIZ simulation.
  • Support multiple remote control methods such as APP, handle, web pages, computer keyboards, and APP mapping navigation.
  • S1/S2 is easily completed based on ROS2 and OpenCV, with functions such as label recognition, face detection, target tracking, and visual line patrol.

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Yahboom Raspberry Pi 4B Adults AI Smart Robot Dog Python Programmable 12 Joints Bionic Mechanical Dog DOGZILLA Face Color Recognition OpenCV (DOGZILLA S2 Without Pi 4B)

Yahboom Raspberry Pi 4B Adults AI Smart Robot Dog Python Programmable 12 Joints Bionic Mechanical Dog DOGZILLA Face Color Recognition OpenCV (DOGZILLA S2 Without Pi 4B)


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Product Description

Note: Robot kit is temporarily NOT compatible with raspberry Pi 5

DOGZILLA is a visual AI robot dog with 12 degrees of freedom, mainly composed of 6 servos, aluminum alloy brackets, and a camera. It can flexibly complete a series of bionic actions and achieve omni-directional movement and six dimensional attitude control. DOGZILLA is equipped with IMU and servo angle sensors, which can provide real-time feedback on its own posture and joint angles. Combined with inverse kinematics algorithms, achieves various motion gaits. Raspberry Pi as its main controller, with additional configurations such as lidar and voice module. Through Python programming, based on the Ubuntu 20.04 ROS2 system, many functions such as AI visual recognition, lidar mapping navigation, and voice control can be achieved.

  • Color recognition-DOGZILLA can capture the color of the object in the camera picture and present the outline of the object with the specified color.
  • Identify obstacles-When DOGZIILA recognizes the color of the target obstacle through the camera screen, it adjusts its body posture and motion gait autonomously to achieve climbing and overcoming obstacles.
  • Visual tracking-After DOGZIILA can recognize the selected color through OpenCV, it can adjust its walking gait independently to realize visual line tracking.
  • Face detection-When DOGZILLA detects a face, it shows a handshake action.
  • Target tracking-The color of the object is recognized by the camera. After locking the target, DOGZIILA will adjust the body posture in real time to track the target position.
  • QR code identification-DOGZILLA uses QR code recognition technology to perform various actions according to the recognition instructions.

Programmed It with Raspberry Pi 4B to Show Off Some Cute Moves

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