Detailed course materials open source
Equipped
with well-developed live-action video courses and rich learning
materials, the content is from the simpler to the deeper, and the open
source code will take you easy to learn.
Play with artificial intelligence based on JETSON NANO
JETSON
NANO is a small computer equipped with quad-core CORTEX-A57 processor,
128-core MAXWELL, GPU and 4GB LPDDR to bring enough AI computing power
to help develop millions of new small, low-power Al systems. It opens a
new field of embedded Internet of Things applications, you can use it to
run multiple neural networks in parallel to achieve image
classification, object detection, and voice processing functions.
AI smart garbage classification
The
JetArm intelligent visual recognition system uses the popular YOL .0
model to complete intelligent waste classification. We have trained 12
junk card models for users, and users can also use other deep learning
models or frameworks for more training.
1. Put the garbage in the detection range of the camera
2. With OpenCV, identify the type of garbage according to the trained model
3. Use inverse kinematics analysis to accurately put into the trash can
AI smart color sorting
The
JetArm intelligent visual recognition system can intelligently sort
objects of specific colors. Image processing uses color threshold
binarization based on LAB color space. Through operations such as
corrosion and expansion, the color of the object can be extracted and
recognized, and then automatically based on the color. Sort and stack.
Color sorting, palletizing blocks
Support deep learning
The
JetArm intelligent visual recognition system supports deep learning and
can recognize the collected images through a multi-layer convolutional
neural network to complete intelligent sorting. It not only supports
loading the model we have trained for image classification, but also
supports self-training model.
1. Collect pictures, 2. Mark information, 3. Realize intelligent sorting
Inverse kinematics
The
JetArm intelligent visual recognition system can intelligently locate
the object position through Al vision, use inverse kinematics algorithm
to calculate the angle that each steering gear needs to rotate, and
accurately grasp the object.
Open source
Open Python source code, users can realize more and more complex creative applications through code.
7 inch touch screen
The product is equipped with a 7-inch touch screen, easy to learn, without the buyer's own preparation.
High-definition camera
The
camera supports MJPG format output and adjustable focal length, which
can provide 480P, 30FPS high-definition and low-latency images without
taking up computing resources.
Powerful core of intelligent bus steering gear
The
fuselage adopts an intelligent bus servo, which has convenient wiring,
high precision and large torque. It supports angle readback voltage
feedback and temperature feedback, so that the robot arm can always be
kept in good condition.
The servos can be connected in series via dual interfaces, which is convenient for wiring!
With feedback function, it can monitor the real-time data of the steering gear and prolong the life of the product
Using all metal gears and imported potentiometers, high precision and abundant power!
Serial port
Extension ports
Cooling fan
5V 3.3V power supply port
DC motor interface
Serial servo interface
IIC interface
PWM servo interface
Expansion board power switch
Wireless network card
Expansion board power interface
button
Expansion board power connector (DC)
micro USB interface
JETSON NANO Power Interface (DC) 4
Display port connector
USB3.0 port (X4)
HDMI output port
Gigabit Ethernet port
5DOF Low Cost Robot Arm ROS Open Source Robotic Arm (Slave Arm) with XL430-W250-T Servo Motors
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5DOF Low Cost Robot Arm ROS Open Source Robotic Arm (Master Arm) with XL330-077-T Servo Motors
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Low Cost Robot Arm ROS Open Source Robotic Arm (5DOF Master Arm + 5DOF Slave Arm) with Servo Motors
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