AiPi-R286_Plus

How does his brain even work?
Our previously released AiPi-Eyes-R1/R2 uses a 4-inch RGB capacitive touchscreen, but we couldn't find a good idea to film it. So,
 
 
the engineers had to propose their own requirements and implement them themselves. He said, "I'll make you an 86-panel one!" It looked something like this:
 
 
It looked really appealing, so stylish! But what he gave me today was:
 
 
passable, I guess! Then his performance began. He knows everything—
overall
hardware design, casing design, software development. How does his brain work?! I hear him complaining about headaches every day; is it because his brain is growing?
 
 
Since the PCB introduction was something I could understand
—an 86-box—it must be related to 220V AC power. The circuit modules were roughly as follows:

AC-DC (220V to 5V: 700mA) circuit, module purchase, connection to
relays and their control circuits (3 sets, relay connection),
data interaction ribbon cable interface
wiring circuit, using PCB terminal blocks (terminal connection).

 
 
 
A crude modification of the AiPi-Eyes-R2 was used
. Because there were pins on the board, the engineer simply removed the pins and used jumper wires for programming and debugging. This allowed for direct enclosure assembly.
 
 
Finally, I understood the usage method:
the 86-box is connected to AiStar Cloud, and AiStar Cloud's mobile control method requires downloading an app. The engineer generated an app through the AiStar Cloud platform. You can download the documentation from the official AiThinker website: https://docs.ai-thinker.com/welcome
AiThinker Cloud Open Platform: https://open.iot-aithings.com/dashboard/index
Network Configuration:
Network configuration is required upon first power-on, or you can click "Start Network Configuration" on the 86-box's network configuration interface to control the network
 
.
The 86-box's own screen can control the lights' on/off state.
The lights can also be controlled via the app, and the effect is consistent with the 86-box's UI response.
Documentation Source:
Official AiThinker documentation