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Item #:
223394062
Waveshare JetBot AI Kit Accessories Add-ons for NVIDIA Jetson Nano to Build JetBot(Literally Smart Robot)
Item #:
223394062
XAF 90877
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Product Details
- AI-based Robot Powered by NVIDIA Jetson Nano:128-core GPU + Quad-core A57 CPU + 4GB RAM with additional 64GB SD card
- ROS (Robot Operating System): Comes with ROS Nodes Code, Easy to Get Started with ROS; Learn the ROS System Framework and Concept
- 8MP 160° FOV Camera: Sony IMX219 Sensor, 3280×2464 Resolution; Facial Recognition, Object Classify, Real Time Monitoring. Wireless Gamepad: Wireless Communication, Easier Teleoperation
- An AI Robot That Has Brain: Collect Data via Camera, Train the Neural Network, Then Use the Train Model for: Facial Recognition, Object Tracking, Line Following and Obstacle Avoiding...
| RAM Memory Installed | 4 GB |
| Memory Storage Capacity | 64 GB |
| Connectivity Technology | Wireless |
| Operating System | Operating System |
| Processor Brand | ARM |
| Wireless Compability | 802.11ac |
| Compatible Devices | Jetson Nano, Wireless gamepad, IMX219-160 Camera |
| RAM Memory Technology | DDR4 |
| Processor Count | 4 |
| Total Usb Ports | 2 |
| Brand | Coolwell |
| Model Name | NVIDIA Jetson Nano |
| Built-In Media | Metal box, Camera holder, Acrylic piece, Jetbot expansion board, IMX219-160 Camera, Wireless-AC8265, Motor 2PCS, Wheel 2PCS, Omni-direction wheel 2PCS, Power adapter EU head, 12.6V battery charger, Wireless gamepad, Screwdriver 2PCS, 6Pin 9cm cable, Screws pack, Spanner |
| UPC | 710877228567 |
| Mfr Part Number | JetBot AI Robot Kit |
| Manufacturer | Waveshare |
| Item Weight | 0.2 Kilograms |
| Ram Memory Installed Size | 4 GB |
Product Description
About This Item
Introducing the Coolwell Waveshare JetBot AI Kit Accessories, the perfect add-ons for the NVIDIA Jetson Nano to take your robot-building skills to the next level. This kit is designed to help you create a truly smart robot that utilizes AI technology, making it capable of advanced functions such as facial recognition, object tracking, auto line following, and collision avoidance. The JetBot Expansion Board included in this kit is equipped with a high battery capacity, supporting three 18650 batteries (not included) and providing a powerful driving force. It also features a lithium battery protection circuit to ensure the safety of your batteries, as well as an onboard voltage regulator that provides a stable 5V output for the Jetson Nano. With the onboard TB6612FNG dual H-bridge motor driver, you'll have precise control over your robot's movements.
The 0.91inch OLED display allows you to easily monitor important information such as the robot's IP address, RAM usage, and battery life. In addition to the expansion board, this kit includes a metal box, camera holder, acrylic piece, IMX219-160 Camera, wireless-AC8265 module, motor and wheel sets, an omnidirectional wheel set, power adapter, battery charger, wireless gamepad, screwdriver, cables, screws pack, and a spanner. Everything you need to get started on your AI-based robot project. The NVIDIA Jetson Nano, with its powerful 128-core GPU, quad-core A57 CPU, and 4GB RAM, combined with the AI capabilities of this kit, provides a solid foundation for your robot's brain. The 8MP 160° FOV camera allows for high-quality image capture and processing, enabling functions such as facial recognition, object classification, and real-time monitoring. With the included wireless gamepad, teleoperation of your robot becomes a breeze.
Take full control from a distance and explore the capabilities of your AI robot with ease. To support your learning and development, this kit comes with ROS nodes code, making it easy to get started with the open source ROS (Robot Operating System). Explore the system framework and concepts of ROS as you dive into the world of AI robot designing. Unleash your creativity and build a truly smart robot with the Coolwell Waveshare JetBot AI Kit Accessories. Don't miss out on the opportunity to explore the possibilities of AI robotics.
Get started today and create your own JetBot masterpiece.
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Customer Questions & Answers
-
Question:
What is included in the Waveshare JetBot AI Kit?
Answer: The Waveshare JetBot AI Kit includes essential components such as the chassis, motors, wheels, and a battery holder needed to construct the JetBot. Additionally, it comes with various sensors like ultrasonic and line tracking sensors, ensuring the robot can navigate its environment effectively. By using these components, you can build a fully functional smart robot that can perform tasks like obstacle avoidance and autonomous line following, making it perfect for educational purposes or robotics enthusiasts. -
Question:
How does the NVIDIA Jetson Nano enhance the JetBot performance?
Answer: The NVIDIA Jetson Nano is a powerful AI computer that supports advanced processing capabilities, enabling the JetBot to perform complex tasks like real-time image processing and deep learning applications. Designed to run AI workloads efficiently, it allows the JetBot to learn from its interactions with the environment. This means you can program the JetBot to recognize objects or follow specific commands, enhancing its functionality for users interested in AI and robotics. -
Question:
Is programming knowledge required to use the JetBot?
Answer: While programming knowledge is beneficial, it is not strictly necessary to get started with the JetBot. The kit supports various user-friendly programming environments like Python, and there are ample resources and tutorials available online. Users can begin with simple tasks before gradually moving on to more advanced projects. This makes it ideal for students, hobbyists, or anyone looking to learn about AI and robotics through hands-on experience. -
Question:
Can the JetBot be used for educational purposes?
Answer: Absolutely! The JetBot is an excellent educational tool that provides practical knowledge about robotics and artificial intelligence. It can be used in classrooms or workshops to teach students about programming, robotics design, and machine learning concepts. By working on the JetBot projects, learners can gain hands-on experience that enhances their understanding of how AI technologies operate in real-world applications. -
Question:
What types of sensors are compatible with the JetBot?
Answer: The JetBot can be equipped with various sensors, including ultrasonic sensors for distance measurement, camera modules for image recognition, and line following sensors to track paths. These sensors allow the robot to navigate and interact with its environment effectively. With a variety of compatible sensors available, users can customize the JetBot to perform specific tasks, making it versatile for different applications ranging from simple to complex robotics projects. -
Question:
Can I integrate additional features into my JetBot?
Answer: Yes, the JetBot is designed for expandability, allowing users to integrate various features such as cameras, additional sensors, or even communication modules. This flexibility encourages experimentation and customization based on the user's interests or project requirements. For example, you might add a camera for object recognition or a Wi-Fi module to control the robot remotely, enhancing its capabilities significantly. -
Question:
How does the JetBot support AI and machine learning?
Answer: The JetBot, powered by the NVIDIA Jetson Nano, supports AI and machine learning through its ability to run deep learning frameworks such as TensorFlow and PyTorch. This capability enables users to implement complex algorithms and models, facilitating the development of intelligent behaviors in the robot. By leveraging pre-trained models or training new models, users can enhance JetBot’s functionality, allowing it to perform tasks like facial recognition or autonomous navigation accurately. -
Question:
What types of projects can I build with the JetBot?
Answer: With the JetBot, the project possibilities are extensive. You can build projects that involve line following, obstacle avoidance, object detection, or even creating a surveillance robot. The combination of hardware and software capabilities allows both beginners and advanced users to work on engaging projects that showcase practical applications of robotics and AI, making it a perfect exploration platform for various skill levels. -
Question:
Is the Waveshare JetBot compatible with other platforms?
Answer: The Waveshare JetBot is primarily designed to work with the NVIDIA Jetson Nano platform; however, its architecture and software environments may allow compatibility with other development platforms or personal computers. Users often adapt the JetBot’s designs and code for integration with Raspberry Pi or Arduino setups. This opens up even more development possibilities, providing options for users to customize their robotic projects further. -
Question:
Where can I buy Waveshare JetBot AI Kit Accessories Add-ons for NVIDIA Jetson Nano to Build JetBot in Equatorial Guinea?
Answer: You can purchase Waveshare JetBot AI Kit Accessories Add-ons for NVIDIA Jetson Nano at Ubuy. Ubuy offers a wide selection of electronic components and robotics kits, making it a reliable source for acquiring the necessary parts. By shopping at Ubuy, you can easily find authentic products and benefit from their customer service, ensuring a positive shopping experience.
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XAF 90877
Order now and get it around Thursday, July 16
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Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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Features & Benefits
- Smart robot powered by Jetson Nano
- Intelligent eye for facial recognition, object tracking and collision advance
- Comes with ROS Nodes Code for easy learning
- 8MP camera with 160° FOV
- Wireless gamepad for easier teleoperation
- AI robot with the ability to collect and train data for recognition, tracking, line following and obstacle avoiding