AI Experiment Box

Packaging List:

1.Experiment Box (Qty:1)

2.Power Adapter (Qty:1) 

3.2D Camera with Mounting Bracket (Qty:1) 

4.Wooden Teaching Aids (Qty:4)

5.Keyboard (Qty:1)

6.Mouse (Qty:1)

7.Product Manual (Qty:1)

Product size: 468mm × 376 × 188mm

Packaging size: 300mm × 470mm × 550mm

Weight: 12kg

• AI Experiment Box Couse.pdf
• AI+Experiment+Box_.pdf

1.Cross-Disciplinary Applications:

The system integrates multiple technologies including artificial intelligence, robotics, computer vision, speech recognition, deep learning, and embedded systems. It is suitable for various majors and courses, providing comprehensive teaching support.

2.All-in-One Design:

The experimental box features an aluminum alloy frame with a 17-inch HD display, full keyboard, mouse, and experimental tools. It is ready to use right out of the box, eliminating the need for additional external devices.

3.Powerful Computing Support:

Powered by the NVIDIA Jetson Xavier NX processor (upgradable to Orin NX 8GB), with GPU and Tensor cores, it supports deep learning and computer vision tasks and can run popular frameworks like TensorFlow and PyTorch.

4.Open Experimental Environment:

The system uses Jupyter Notebook for interactive programming, allowing students to debug code, monitor variables, and collaborate on projects. It’s ideal for both classroom settings and self-paced learning.

5.AI + Robotics Integration:

Combining a robotic arm, vision system, and speech module, this platform offers a complete AI + Robotics experimental setup. It supports tasks like object recognition, sorting, and grasping, helping students develop practical skills.

6.2D and Depth Vision Support:

The depth vision system enables functions such as object measurement and dynamic detection, enhancing the practical application and complexity of experiments, offering more advanced vision-based tasks.

7.Speech Recognition and Control:

The system supports speech recognition, allowing users to control the robot and other modules via voice commands. This adds interactivity and elevates the level of intelligence and automation.

8.Rich Sensor Modules:

The box includes 12 embedded sensors, such as temperature, humidity, motion, pressure, and light sensors, enabling various environmental monitoring and sensor-driven experiments.

9.Flexible Open-Source Code:

Full source code and detailed experimental guides are provided, supporting secondary development. Teachers and students can modify and extend experiments based on specific needs.

10.Multi-Module Linked Experiments:

The platform supports linked experiments using combinations of 2D vision with a robotic arm, depth vision with a gimbal, and speech with sensors, offering a rich array of interdisciplinary use cases and helping to enhance students’ innovative thinking.