FrameworkIO(FIO) is a complete system for developing and deploying AIoT applications with iPhones or iPads
FrameworkIO
What is it about?
FrameworkIO(FIO) is a complete system for developing and deploying AIoT applications with iPhones or iPads. It currently supports ESP32 and ESP32-S3 boards from Espressif while more is in development. ESP32/ESP32-S3 boards flashed with FIO's firmware can be programmed and managed directly from an iPhone/iPad.
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App Store Description
FrameworkIO(FIO) is a complete system for developing and deploying AIoT applications with iPhones or iPads. It currently supports ESP32 and ESP32-S3 boards from Espressif while more is in development. ESP32/ESP32-S3 boards flashed with FIO's firmware can be programmed and managed directly from an iPhone/iPad.
FIO uses simple logic instructions(SLI) instead of C/C++ language for developing applications. An SLI instruction will consist of some (logical/arithmetic) operators and some inputs on the left, a conditional assignment in the middle, and one or more outputs on the right.
True => LED // Turn ON LED
True =(condition_A)> LED // Turn ON LED when condition_A is true.
Button_A_pressed => LED // Turn ON LED when Button_A_pressed is true.
"Hello" => display_line1 // Print "Hello" to display_line1.
FIO supports an expanding list of inputs and outputs as below:
(Inputs)
-Image classification (Visually classify objects according to training examples).
-Analog / Digital input (Reading analog / digital voltages).
-I2C Master (Reading data from devices such as sensors using I2C protocol).
-JSON Server / Client (Receiving data via WiFi in JSON format).
-Counter / Timer.
-Cloud (Receive data from Firebase Real-time database).
(Outputs)
-Digital output (Output digital voltages).
-I2C Slave (Sending data using I2C protocol).
-JSON Server / Client (Sending data via WiFi in JSON format).
-I2C Display (Output data to OLED / LCDs).
-Motor (Control analog-servo / stepper motors).
-Cloud (Sending data to Firebase Real-time database).
(Supported boards)
-ESP32-CAM (4MB flash, 520KB RAM, 4MB PSRAM).
-ESP32-DevKitV1 (4MB flash, 520KB RAM).
-ESL32S3-DevkitC-1-N8R8 (8MB flash, 512KB RAM, 8MB PSRAM).
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