Based on Raspberry Pi 40 PIN GPIO interface, suitable for Raspberry Pi series motherboards
With CAN function, using SPI interface CAN controller MCP2515, with transceiver SIT65HVD230DR
With RS485 function, using UART control, half-duplex communication, supporting automatic switching of transceiver status without program control, transceiver is SP3485
Onboard 120 ohm terminal resistors for RS485 and CAN interfaces, which can be enabled by setting the dip switch
Onboard TVS (transient voltage suppression tube), RS485 communication can effectively suppress surge voltage and transient spike voltage in the circuit, lightning protection and anti-static
Reserved control interface for convenient control by other controllers
This AlphaBot2 robot kit is designed to use with an Arduino compatible controller (not included). It features rich common robot functions including line tracking, obstacle avoiding, ultrasonic ranging, infrared remote control, Bluetooth communication, etc.
Thanks to the highly integrated modular design, it is fairly easy to assemble by a snap, no soldering, no wiring. After a few minutes spent on hardware assembing, youre almost there, our open source demo codes is ready to help you get started fast.
AlphaBot2 Features
AlphaBot2 employs a 2-layer structure to provide excellent stability and compatibility.
AlphaBot2-Base, the lower base chassis:
5-ch infrared sensor, analog output, combined with PID algorithm, stable line tracking
Onboard modules like line tracking, obstacle avoiding, needs no messy wiring
Yahboom K230 vision module is a high-performance, low-power embedded AI vision processing module designed for edge computing scenarios. It is designed based on the end-side AloT chip of the RISC-V architecture, with 6TOPS equivalent computing power and 1GB RAM. It can be connected to a variety of main controllers such as STM32, MSPM0, ESP32, Raspberry Pi, etc. through serial communication. Equipped with a powerful neural network acceleration engine, it supports AI vision tasks such as real-time image recognition, target detection, face recognition, and behavior analysis. It can be widely used in smart homes, maker education, programming robots, electronic design competitions and other occasions.
On board 2MP camera(GC2093), 2.4-inch touch screen, microphone, RGB light, WiFi network card and other hardware resources, support TF card (32G TF card inchude).
Adopting Kendryte K230 chip, 1GB RAN, equivalent computing power can reach 6TOPS.
Provide version host computer software on Windows, support RTSP real-time video stream monitoring, and integrate video/image processing tools, data generator, text tools and other content.
Three different height brackets and 2DOF electric PTZ are available, users can fix the module on some robots or smart cars.
Yahboom K230 vision module is a high-performance, low-power embedded AI vision processing module designed for edge computing scenarios. It is designed based on the end-side AloT chip of the RISC-V architecture, with 6TOPS equivalent computing power and 1GB RAM. It can be connected to a variety of main controllers such as STM32, MSPM0, ESP32, Raspberry Pi, etc. through serial communication. Equipped with a powerful neural network acceleration engine, it supports AI vision tasks such as real-time image recognition, target detection, face recognition, and behavior analysis. It can be widely used in smart homes, maker education, programming robots, electronic design competitions and other occasions.
On board 2MP camera(GC2093), 2.4-inch touch screen, microphone, RGB light, WiFi network card and other hardware resources, support TF card (32G TF card inchude).
Adopting Kendryte K230 chip, 1GB RAN, equivalent computing power can reach 6TOPS.
Provide version host computer software on Windows, support RTSP real-time video stream monitoring, and integrate video/image processing tools, data generator, text tools and other content.
Three different height brackets and 2DOF electric PTZ are available, users can fix the module on some robots or smart cars.