to mark a step as Here are all the parts of Raspbot V2, as shown below.
Regarding the version, we provide 4 options: without Raspberry Pi, with RPi 5-2GB, with RPi 5-4GB, with RPi 5-8GB.
The chassis adopts metal material, which is strong and durable. Equipped with four omnidirectional wheels, it can achieve omnidirectional movement.
There is an ultrasonic module in the front, an RGB colorful light strip at the rear.
Here is a 2DOF camera PTZ that can rotate up-down and left-right. Comes with a 1MP 110° wide-angle camera module, Raspbot V2 car can complete visual tracking function.
Here is Raspberry Pi 5 robot driver board, it communicates with the Raspberry Pi 5 via l2C. And supports 5V/5A power supply protocol of Raspberry Pi 5.
This is 4-channel tracking module with four high-precision infrared probes, mainly used for infrared line tracking.
Now, We have assembled robot car. Let's quickly experience it.
Raspbot-V2 can be controller by APP. After the car starts, we only need to connect to the car built-in WiFi hotspot. Then, we can control car by APP. The APP include multiple sensors functions, can monitor sensor status in real-time.
In addition to mobile phone APP, Raspbot-V2 also supports infrared and PC computer remote control.
1.360° omnidirectional movement, full of fun
The omnidirectional Mecanum wheels facilitate 360° omnidirectional movement, and a variety of cool motion modes (forward, horizontal, diagonal, rotation) and excellent performance enable it to easily challenge various complex routes. Combined with the two-dimensional gimbal, you can expand the motion trajectory of your own design.
2. AI intelligent vision, flexible interaction
Raspbot V2 is equipped with a high-definition camera, which processes images through OpenCV and uses the first vision to identify and locate target objects, thereby realizing a variety of AI creative gameplays such as color recognition, target following, gesture recognition, and face detection, expanding your exploration vision and interacting flexibly with AI.
3. Visual line patrol, automatic driving
Raspbot V2 uses 4-channel independent drive motors. It can not only visually follow the line through the camera, but also detect the route and follow the line through the 4 infrared probes on the line following sensor, allowing you to easily explore AI in machine vision routines. Autopilot.
The most distinctive feature of Raspbot-V2 is its AI vision function. It can recognize QR codes, machine codes, AR codes, and can accurately recognize colors, faces, body postures, even finger joint movements, and can also recognize license plates.
By combining visual recognition with chassis movement, the car can also perform AI visual interaction functions.
For example, camera PTZ can track faces, colors, and tag codes. Drive the car to follow faces, colors, and tag codes.
4. APP remote control, upgraded gameplay
Raspbot V2 supports real-time remote control via app. You can control the movement of Raspbot V2 as you wish, and switch the function mode of the app to enjoy the fun and convenience brought by the AI robot!
5.Raspbot-V2 supports two tracking modes, complete Visual line tracking. Or tracking by 4-channel tracking sensor at the bottom of car.
With autonomous driving map(need purchase it additionally), robot car can complete AI autonomous driving function. It can identify road signs and traffic lights and make corresponding decisions based on the recognition results while tracking.
6.Raspbot-V2 also supports ROS development, built-in ROS environment.
Yahboom provide some ROS AI vision cases. Simplifies the ROS learning path, making it easier for beginners to get started with ROS development.
Raspbot-V2 AI vision car uses Raspberry Pi 5 as the main control unit. Equipped with a Mecanum wheel metal chassis, Raspberry Pi 5 robot driver board, 2DOF camera PTZ, ultrasonic sensor, 4-channel tracking sensor, OLED, etc.
It can realize Mecanum wheel motion control, sensor functions, Al visual recognition and interaction, ROS robot control.
From basic driving to advanced visual applications to theoretical knowledge, it takes users to easily learn robots and Al visual technology. It is very suitable for beginners and enthusiasts who are interested in AI vision and robotics technology.