lqu
commented
1 year ago Hi Rick. Glad you are interested. I'd like to know your progress. Sorry I missed your message and this repo is not active.
More reverse engineering was needed to sense and control the board using existing components, as the processors seem to compete for control when I simply added GPIO from RPI. Unless you are really fond of the chips and schematics, I think VR/AR is a better option now. Let the Jetson read board config from the camera and recommend best moves in CLI or video output. You can flash multiple points with different colors that way. But that will work for any board and will no longer be TQ-1500 specific.
Cheers, Liang
Hello Liang Qu @lqu, Thank you for documenting the LED and Sensor arrays of the TQ-1500.
My name is Rick (I am a go player and engineer) and I wanted to do the exact same thing you are interested in, interfacing a National TQ-1500 to a modern Go AI.
Would you like to collaboratore on this project ?
I have ordered several TQ-1500 to experiment on and want to design a kit to interface with the arrays. I saw you were interested in interfacing with a Jetson board which seems like a nice embedded platform for running an AI. I would start with interfacing with a simpler board and transmit the positions via bluetooth/wifi/cable to a PC or Phone.
I think an interface PCB (with controller) that allows to connect the arrays to modern hardware, e.g., a Jetson, PC, Phone, SBC, raspberry pi etc. would be a very nice step, once we have this then the possibilities are endless.
I will start experimenting as you did once my TQ-1500 arrive, your prior work here is very helpful. Thank you for putting it online.
Let me know if you are interested in discussing this or possible collaboration.
Cheers. Rick